Tootfinder

CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems
Jiaxi Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu
https://arxiv.org/abs/2508.20898

CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems
Collaborative learning enhances the performance and adaptability of multi-robot systems in complex tasks but faces significant challenges due to high communication overhead and data heterogeneity inherent in multi-robot tasks. To this end, we propose CoCoL, a Communication efficient decentralized Collaborative Learning method tailored for multi-robot systems with heterogeneous local datasets. Leveraging a mirror descent framework, CoCoL achieves remarkable communication efficiency with approxim…

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
Maojun Zhang, Guangxu Zhu, Xiaoming Chen, Kaibin Huang, Zhaoyang Zhang
https://arxiv.org/abs/2507.20477

Rethinking Multi-User Communication in Semantic Domain: Enhanced OMDMA by Shuffle-Based Orthogonalization and Diffusion Denoising
Inter-user interference remains a critical bottleneck in wireless communication systems, particularly in the emerging paradigm of semantic communication (SemCom). Compared to traditional systems, inter-user interference in SemCom severely degrades key semantic information, often causing worse performance than Gaussian noise under the same power level. To address this challenge, inspired by the recently proposed concept of Orthogonal Model Division Multiple Access (OMDMA) that leverages semantic…

A conceptual framework for understanding longwave cloud effects on climate sensitivity: #climate sensitivity: https://mpimet.mpg.de/en/communication/detail-view-news-homepage/changes-in-cloud-altitude-have-minimal-impact-on-climate-sensitivity

People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Pawe{\l} Niszczota, Tomasz Grzegorczyk, Alexander Pastukhov
https://arxiv.org/abs/2507.18639

People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Machines driven by large language models (LLMs) have the potential to augment humans across various tasks, a development with profound implications for business settings where effective communication, collaboration, and stakeholder trust are paramount. To explore how interacting with an LLM instead of a human might shift cooperative behavior in such settings, we used the Prisoner's Dilemma game -- a surrogate of several real-world managerial and economic scenarios. In Experiment 1 (N=100), part…

Walk the Robot: Exploring Soft Robotic Morphological Communication driven by Spiking Neural Networks
Matthew Meek, Guy Tallent, Thomas Breimer, James Gaskell, Abhay Kashyap, Atharv Tekurkar, Jonathan Fischman, Luodi Wang, Viet-Dung Nguyen, John Rieffel
https://arxiv.org/abs/2508.19920

Walk the Robot: Exploring Soft Robotic Morphological Communication driven by Spiking Neural Networks
Recently, researchers have explored control methods that embrace nonlinear dynamic coupling instead of suppressing it. Such designs leverage dynamical coupling for communication between different parts of the robot. Morphological communication refers to when those dynamics can be used as an emergent data bus to facilitate coordination among independent controller modules within the same robot. Previous research with tensegrity-based robot designs has shown that evolutionary learning models that…

ProMSC-MIS: Prompt-based Multimodal Semantic Communication for Multi-Spectral Image Segmentation
Haoshuo Zhang, Yufei Bo, Meixia Tao
https://arxiv.org/abs/2508.20057 https://

ProMSC-MIS: Prompt-based Multimodal Semantic Communication for Multi-Spectral Image Segmentation
Multimodal semantic communication has great potential to enhance downstream task performance by integrating complementary information across modalities. This paper introduces ProMSC-MIS, a novel Prompt-based Multimodal Semantic Communication framework for Multi-Spectral Image Segmentation. It enables efficient task-oriented transmission of spatially aligned RGB and thermal images over band-limited channels. Our framework has two main design novelties. First, by leveraging prompt learning and co…

EffiComm: Bandwidth Efficient Multi Agent Communication
Melih Yazgan, Allen Xavier Arasan, J. Marius Z\"ollner
https://arxiv.org/abs/2507.19354 https://

EffiComm: Bandwidth Efficient Multi Agent Communication
Collaborative perception allows connected vehicles to exchange sensor information and overcome each vehicle's blind spots. Yet transmitting raw point clouds or full feature maps overwhelms Vehicle-to-Vehicle (V2V) communications, causing latency and scalability problems. We introduce EffiComm, an end-to-end framework that transmits less than 40% of the data required by prior art while maintaining state-of-the-art 3D object detection accuracy. EffiComm operates on Bird's-Eye-View (BEV) feature m…

Machine Learning based Radio Environment Map Estimation for Indoor Visible Light Communication
Helena Serpi (Tanya), Christina (Tanya), Politi
https://arxiv.org/abs/2507.19149

Machine Learning based Radio Environment Map Estimation for Indoor Visible Light Communication
An innovative method for radio map estimation in optical wireless communications is proposed that is based on Machine Learning rather than simulation techniques. Multi-Layer Perceptron (MLP) representation of indoor Visible Light Communication (VLC) systems is suggested, and signal propagation is estimated. The simulation and performance predictions are accurate, fast and require a reduced set of training sample size with respect to other counterparts, making this solution very suitable for rea…

Joint Contact Planning for Navigation and Communication in GNSS-Libration Point Systems
Huan Yan, Juan A. Fraire, Ziqi Yang, Kanglian Zhao, Wenfeng Li, Xiyun Hou, Haohan Li, Yuxuan Miao, Jinjun Zheng, Chengbin Kang, Huichao Zhou, Xinuo Chang, Lu Wang, Linshan Xue
https://arxiv.org/abs/2508.20479

Joint Contact Planning for Navigation and Communication in GNSS-Libration Point Systems
Deploying satellites at Earth-Moon Libration Points (LPs) addresses the inherent deep-space coverage gaps of low-altitude GNSS constellations. Integrating LP satellites with GNSS into a joint constellation enables a more robust and comprehensive Positioning, Navigation, and Timing (PNT) system, while also extending navigation and communication services to spacecraft operating in cislunar space (i.e., users). However, the long propagation delays between LP satellites, users, and GNSS satellites …

ML-MaxProp: Bridging Machine Learning and Delay-Tolerant Routing for Resilient Post-Disaster Communication
Tao Xiuyuan, Milena Radenkovic
https://arxiv.org/abs/2508.20077 https:…

ML-MaxProp: Bridging Machine Learning and Delay-Tolerant Routing for Resilient Post-Disaster Communication
In disaster-stricken and large-scale urban emergency scenarios, ensuring reliable communication remains a formidable challenge, as collapsed infrastructure, unpredictable mobility, and severely constrained resources disrupt conventional networks. Delay-Tolerant Networks (DTNs), though resilient through their store-carry-forward paradigm, reveal the fundamental weaknesses of classical protocols - Epidemic, Spray-and-Wait, and MaxProp - when confronted with sparse encounters, buffer shortages, an…

Formal Verification of Physical Layer Security Protocols for Next-Generation Communication Networks
Kangfeng Ye, Roberto Metere, Jim Woodcock, Poonam Yadav
https://arxiv.org/abs/2508.19430

Formal Verification of Physical Layer Security Protocols for Next-Generation Communication Networks
Formal verification is crucial for ensuring the robustness of security protocols against adversarial attacks. The Needham-Schroeder protocol, a foundational authentication mechanism, has been extensively studied, including its integration with Physical Layer Security (PLS) techniques such as watermarking and jamming. Recent research has used ProVerif to verify these mechanisms in terms of secrecy. However, the ProVerif-based approach limits the ability to improve understanding of security beyon…

Spinwave Bandpass Filters for 6G Communication
Connor Devitt, Sudhanshu Tiwari, Bill Zivasatienraj, Sunil A. Bhave
https://arxiv.org/abs/2507.18931 https://

Spinwave Bandpass Filters for 6G Communication
Spinwave filters using single-crystal yttrium iron garnet are an attractive technology for integration in frequency adjustable or tunable communication systems. However, existing SW devices do not have sufficient bandwidth for future 5G and 6G communication systems, are too large, or have strong spurious passbands creating unintentional cross-channel interference. Leveraging modern micromachining fabrication methods capable of wafer-scale production, we report a SW ladder filter architecture re…

A Framework for Building Data Structures from Communication Protocols
Alexandr Andoni, Shunhua Jiang, Omri Weinstein
https://arxiv.org/abs/2506.20761 https…

A Framework for Building Data Structures from Communication Protocols
We present a general framework for designing efficient data structures for high-dimensional pattern-matching problems ($\exists \;? i\in[n], f(x_i,y)=1$) through communication models in which $f(x,y)$ admits sublinear communication protocols with exponentially-small error. Specifically, we reduce the data structure problem to the Unambiguous Arthur-Merlin (UAM) communication complexity of $f(x,y)$ under product distributions. We apply our framework to the Partial Match problem (a.k.a, matchin…

Examining MPI and its Extensions for Asynchronous Multithreaded Communication
Jiakun Yan, Marc Snir, Yanfei Guo
https://arxiv.org/abs/2508.18667 https://ar…

Examining MPI and its Extensions for Asynchronous Multithreaded Communication
The increasing complexity of HPC architectures and the growing adoption of irregular scientific algorithms demand efficient support for asynchronous, multithreaded communication. This need is especially pronounced with Asynchronous Many-Task (AMT) systems. This communication pattern was not a consideration during the design of the original MPI specification. The MPI community has recently introduced several extensions to address these evolving requirements. This work evaluates two such extensio…

still havent made any more progress with getting on hrt, communication issues and me just being distracted by other shit, but im once again reconsidering doing it the official way cuz of other medicare jawns getting more fascist than they were already getting

Generative Feature Imputing - A Technique for Error-resilient Semantic Communication
Jianhao Huang, Qunsong Zeng, Hongyang Du, Kaibin Huang
https://arxiv.org/abs/2508.17957 http…

Generative Feature Imputing - A Technique for Error-resilient Semantic Communication
Semantic communication (SemCom) has emerged as a promising paradigm for achieving unprecedented communication efficiency in sixth-generation (6G) networks by leveraging artificial intelligence (AI) to extract and transmit the underlying meanings of source data. However, deploying SemCom over digital systems presents new challenges, particularly in ensuring robustness against transmission errors that may distort semantically critical content. To address this issue, this paper proposes a novel fr…

Collective communication in a transparent world: Phase transitions in a many-body Potts model and social-quantum duality
Pawat Akarapipattana, Sergei Nechaev, Bogdan Slavov
https://arxiv.org/abs/2508.20267

Collective communication in a transparent world: Phase transitions in a many-body Potts model and social-quantum duality
We consider the Schelling-like social competition reflected in "dynamics of opinions" among groups of agents ("communities") in a highly transparent world. Specifically, we investigate a $q$-state Potts spin system with competing two- and three-body interactions on a complete graph. Agents interact through pairwise repulsion (opposing opinions) between different communities and three-body attraction (shared opinions) within the same community. In the thermodynamic limit, we identify variants of…

"Advanced Whale Communication Technology Could Reshape Conservation Efforts"
#Whales #Animals #Conservation

Advanced Whale Communication Technology Could Reshape Conservation Efforts | Happy Eco News
Whale communication technology is advancing rapidly as Project CETI works to translate sperm whale vocalizations in the Caribbean. This technology could transform animal rights law, prevent ship collisions, protect critical habitats, and provide insights into marine ecosystems, while challenging assumptions about the fundamental differences between humans and animals.

Prompt-based Multimodal Semantic Communication for Multi-spectral Image Segmentation
Haoshuo Zhang, Yufei Bo, Hongwei Zhang, Meixia Tao
https://arxiv.org/abs/2508.17920 https://…

Prompt-based Multimodal Semantic Communication for Multi-spectral Image Segmentation
Multimodal semantic communication has gained widespread attention due to its ability to enhance downstream task performance. A key challenge in such systems is the effective fusion of features from different modalities, which requires the extraction of rich and diverse semantic representations from each modality. To this end, we propose ProMSC-MIS, a Prompt-based Multimodal Semantic Communication system for Multi-spectral Image Segmentation. Specifically, we propose a pre-training algorithm whe…

"Populism, platforms, and the challenges of science communication"
https://elephantinthelab.org/populism-platforms-and-the-challenges-of-science-communication/
"Teresa Völker interviewed Jeanette Hofmann about the rol…

Effective activism requires not just passion, but the ability to communicate nonviolently, prioritizing connection, understanding, and compassion over coercion, argument, and blame. full article @ https://www.brichapman.com/p/nonviolent-communication-for-activism

Nonviolent Communication for Activists
Speaking to be Heard, Listening to Understand

Jerry Jones labels first-year coach Brian Schottenheimer 'a gem,' exceeded Cowboys' expectation

https://www.cbssports.com/nfl/news/jerry-j

Beyond Line-of-Sight: Cooperative Localization Using Vision and V2X Communication
Annika Wong, Zhiqi Tang, Frank J. Jiang, Karl H. Johansson, Jonas M{\aa}rtensson
https://arxiv.org/abs/2507.20772

Beyond Line-of-Sight: Cooperative Localization Using Vision and V2X Communication
Accurate and robust localization is critical for the safe operation of Connected and Automated Vehicles (CAVs), especially in complex urban environments where Global Navigation Satellite System (GNSS) signals are unreliable. This paper presents a novel vision-based cooperative localization algorithm that leverages onboard cameras and Vehicle-to-Everything (V2X) communication to enable CAVs to estimate their poses, even in occlusion-heavy scenarios such as busy intersections. In particular, we p…

Single-photon sources created by nature millions of years ago
D. G. Pasternak, A. M. Romshin, R. A. Khmelnitsky, G. Yu. Kriulina, A. A. Zhivopistsev, O. S. Kudryavtsev, A. V. Gritsienko, A. M. Satanin, I. I. Vlasov
https://arxiv.org/abs/2507.20405

Single-photon sources created by nature millions of years ago
Single photons source (SPS) is a key component required by quantum communication devices. We report the finding of bright diamond-based SPS created by nature millions of years ago. It is shown that narrow ($\leq$ 2 nm) lines observed within the 500-800 nm range in photoluminescence (PL) spectra of the surface layer of untreated Yakut diamonds rich in nitrogen and hydrogen belong to SPS. Moreover, unknown narrow-line PL observed earlier in nitrogen- and hydrogen-rich diamonds from various deposi…

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

Development and analysis of a secured VoIP system for surveillance activities
M. Matsive Ali
https://arxiv.org/abs/2507.21038 https://arxiv.org/pdf/2507.21…

Development and analysis of a secured VoIP system for surveillance activities
Since the 1990s, the telephone has been the primary mode of communication. However, Voice over Internet Protocol (VoIP), which is a highly straightforward and affordable form of data transfer, is now becoming an important part of daily communication. VoIP is the technology that makes it possible to send speech and multimedia data packets across either a public or private IP network. However, a cyberattack known as a man-in-the-middle attack poses a serious concern in transferring data through a…

Google unveils the Pixel Watch 4 in 41mm and 45mm sizes, with an Actua 360 curved display and emergency satellite communication, starting at $349 from October 9 (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/08/20/goog…

Google debuts Pixel Watch 4 with domed display, emergency Satellite Communication | TechCrunch
The 41mm Pixel Watch 4 starts at $349 for Wi-Fi and $449 for LTE, while the 45mm version starts at at $399 for Wi-Fi and $499 for LTE.

CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration
Zheng Wei, Hongtao Wu, lvmin Zhang, Xian Xu, Yefeng Zheng, Pan Hui, Maneesh Agrawala, Huamin Qu, Anyi Rao
https://arxiv.org/abs/2507.20355

CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration
Effective communication between directors and cinematographers is fundamental in film production, yet traditional approaches relying on visual references and hand-drawn storyboards often lack the efficiency and precision necessary during pre-production. We present CineVision, an AI-driven platform that integrates scriptwriting with real-time visual pre-visualization to bridge this communication gap. By offering dynamic lighting control, style emulation based on renowned filmmakers, and customiz…

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
Zhanhang Xiong, Dongxia Wang, Yuekang Li, Xinyuan An, Wenhai Wang
https://arxiv.org/abs/2507.19904

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
As large language models (LLMs) become increasingly embedded in software engineering workflows, a critical capability remains underexplored: generating correct code that enables cross-programming-language (CPL) interoperability. This skill is essential for building complex systems that integrate components written in multiple languages via mechanisms like inter-process communication (IPC). To bridge this gap, we present CrossPL, the first benchmark designed to systematically evaluate LLMs' abil…

Vibe Coding: Is Human Nature the Ghost in the Machine?
Cory Knobel, Nicole Radziwill
https://arxiv.org/abs/2508.20918 https://arxiv.org/pdf/2508.20918

Vibe Coding: Is Human Nature the Ghost in the Machine?
This exploratory study examined the consistency of human-AI collaboration by analyzing three extensive "vibe coding" sessions between a human product lead and an AI software engineer. We investigated similarities and differences in team dynamics, communication patterns, and development outcomes across both projects. To our surprise, later conversations revealed that the AI agent had systematically misrepresented its accomplishments, inflating its contributions and systematically downplaying imp…

In-Lab Carrier Aggregation Testbed for Satellite Communication Systems
Jorge L. Gonzalez-Rios, Eva Lagunas, Hayder Al-Hraishawi, Luis M. Garces-Socarras, Symeon Chatzinotas
https://arxiv.org/abs/2508.19439

In-Lab Carrier Aggregation Testbed for Satellite Communication Systems
Carrier Aggregation (CA) is a technique used in 5G and previous cellular generations to temporarily increase the data rate of a specific user during peak demand periods or to reduce carrier congestion. CA is achieved by combining two or more carriers and providing a virtual, wider overall bandwidth to high-demand users of the system. CA was introduced in the 4G/LTE wireless era and has been proven effective in 5G as well, where it is said to play a significant role in efficient network capacity…

Spouse is a psychotherapist. I am a heavily-interdisciplinary computer programmer. We both work with complex systems.
We are diagnosing why the heat pump mini-split isn't working as expected
Their first hypothesis, of course, is "communication breakdown with partner unit"
Mine is "configuration error root-caused to bad UX design"
... We were both right

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control. II: Non-Penalty Approach
Lechen Feng, Xun Li, Yuan-Hua Ni
https://arxiv.org/abs/2507.19895

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control. II: Non-Penalty Approach
This work is a companion paper of [8], where the distributed linear-quadratic problem with fixed communication topology (DFT-LQ) and the sparse feedback LQ problem (SF-LQ) are formulated into a nonsmooth and nonconvex optimization problem with affine constraints. Moreover, a penalty approach is considered in \cite{feng-part1}, and the PALM (proximal alternating linearized minimization) algorithm is studied with convergence and complexity analysis. In this paper, we aim to address the inherent d…

The Adaptive Communication Framework (ACF) for Extraterrestrial Intelligence Discovery
Omer Eldadi, Gershon Tenenbaum, Abraham Loeb
https://arxiv.org/abs/2508.18287 https://

The Adaptive Communication Framework (ACF) for Extraterrestrial Intelligence Discovery
The Vera C. Rubin Observatory's Legacy Survey of Space and Time will increase interstellar object detection rates to one every few months, substantially elevating the probability of identifying objects with characteristics suggesting artificial origin. Despite this imminent capability, no evidence-based crisis communication framework exists for managing potential technosignature discoveries. We present the Adaptive Communication Framework (ACF), a theoretically grounded protocol that integrates…

Optimizing Spreading Factor Selection for Mobile LoRa Gateways Using Single-Channel Hardware
W. A. Sasindu Wijesuriya
https://arxiv.org/abs/2507.19938 https://

Optimizing Spreading Factor Selection for Mobile LoRa Gateways Using Single-Channel Hardware
The deployment of mobile LoRa gateways using low-cost single-channel hardware presents a significant challenge in maintaining reliable communication due to the lack of dynamic configuration support. In traditional LoRaWAN networks, Adaptive Data Rate (ADR) mechanisms optimize communication parameters in real time. However, such features are typically supported only by expensive multi-channel gateways. This study proposes a cost-effective and energy-efficient solution by statically selecting the…

SCAMPER -- Synchrophasor Covert chAnnel for Malicious and Protective ERrands
Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami
https://arxiv.org/abs/2508.20051 https://

SCAMPER -- Synchrophasor Covert chAnnel for Malicious and Protective ERrands
We note that constituent fields (notably the fraction-of-seconds timestamp field) in the data payload structure of the synchrophasor communication protocol (IEEE C37.118 standard) are overprovisioned relative to real-world usage and needs, lending themselves to abuse for embedding of covert channels. We develop the SCAMPER (Synchrophasor Covert Channel for Malicious and Protective ERrands) framework to exploit these overprovisioned fields for covert communication and show that SCAMPER can be ap…

Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
Daniele De Sensi, Saverio Pasqualoni, Lorenzo Piarulli, Tommaso Bonato, Seydou Ba, Matteo Turisini, Jens Domke, Torsten Hoefler
https://arxiv.org/abs/2508.17311

Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
Communication locality plays a key role in the performance of collective operations on large HPC systems, especially on oversubscribed networks where groups of nodes are fully connected internally but sparsely linked through global connections. We present Bine (binomial negabinary) trees, a family of collective algorithms that improve communication locality. Bine trees maintain the generality of binomial trees and butterflies while cutting global-link traffic by up to 33%. We implement eight Bi…

Uncertainty on Display: The Effects of Communicating Confidence Cues in Autonomous Vehicle-Pedestrian Interactions
Yue Luo, Xinyan Yu, Tram Thi Minh Tran, Marius Hoggenmueller
https://arxiv.org/abs/2507.18836

Uncertainty on Display: The Effects of Communicating Confidence Cues in Autonomous Vehicle-Pedestrian Interactions
Uncertainty is an inherent aspect of autonomous vehicle (AV) decision-making, yet it is rarely communicated to pedestrians, which hinders transparency. This study investigates how AV uncertainty can be conveyed through two approaches: explicit communication (confidence percentage displays) and implicit communication (vehicle motion cues), across different confidence levels (high and low). Through a within-subject VR experiment (N=26), we evaluated these approaches in a crossing scenario, assess…

Analysis and Detection of RIS-based Spoofing in Integrated Sensing and Communication (ISAC)
Tingyu Shui, Po-Heng Chou, Walid Saad, Mingzhe Chen
https://arxiv.org/abs/2508.18100 …

Analysis and Detection of RIS-based Spoofing in Integrated Sensing and Communication (ISAC)
Integrated sensing and communication (ISAC) is a key feature of next-generation 6G wireless systems, allowing them to achieve high data rates and sensing accuracy. While prior research has primarily focused on addressing communication safety in ISAC systems, the equally critical issue of sensing safety remains largely under-explored. In this paper, the possibility of spoofing the sensing function of ISAC in vehicle networks is examined, whereby a malicious reconfigurable intelligent surface (RI…

Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
Tu\u{g}rul Hasan Karabulut, \.Inci M. Bayta\c{s}
https://arxiv.org/abs/2508.20597 https://

Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
Over-squashing is a challenge in training graph neural networks for tasks involving long-range dependencies. In such tasks, a GNN's receptive field should be large enough to enable communication between distant nodes. However, gathering information from a wide range of neighborhoods and squashing its content into fixed-size node representations makes message-passing vulnerable to bottlenecks. Graph rewiring and adding virtual nodes are commonly studied remedies that create additional pathways a…

ACCESS-AV: Adaptive Communication-Computation Codesign for Sustainable Autonomous Vehicle Localization in Smart Factories
Rajat Bhattacharjya, Arnab Sarkar, Ish Kool, Sabur Baidya, Nikil Dutt
https://arxiv.org/abs/2507.20399

ACCESS-AV: Adaptive Communication-Computation Codesign for Sustainable Autonomous Vehicle Localization in Smart Factories
Autonomous Delivery Vehicles (ADVs) are increasingly used for transporting goods in 5G network-enabled smart factories, with the compute-intensive localization module presenting a significant opportunity for optimization. We propose ACCESS-AV, an energy-efficient Vehicle-to-Infrastructure (V2I) localization framework that leverages existing 5G infrastructure in smart factory environments. By opportunistically accessing the periodically broadcast 5G Synchronization Signal Blocks (SSBs) for local…

The Effects of Communication Delay on Human Performance and Neurocognitive Responses in Mobile Robot Teleoperation
Zhaokun Chen, Wenshuo Wang, Wenzhuo Liu, Yichen Liu, Junqiang Xi
https://arxiv.org/abs/2508.18074

The Effects of Communication Delay on Human Performance and Neurocognitive Responses in Mobile Robot Teleoperation
Communication delays in mobile robot teleoperation adversely affect human-machine collaboration. Understanding delay effects on human operational performance and neurocognition is essential for resolving this issue. However, no previous research has explored this. To fill this gap, we conduct a human-in-the-loop experiment involving 10 participants, integrating electroencephalography (EEG) and robot behavior data under varying delays (0-500 ms in 100 ms increments) to systematically investigate…

Toward Dual-Functional LAWN: Control-Aware System Design for Aerodynamics-Aided UAV Formations
Jun Wu, Weijie Yuan, Qingqing Cheng, Haijia Jin
https://arxiv.org/abs/2507.19910 h…

Toward Dual-Functional LAWN: Control-Aware System Design for Aerodynamics-Aided UAV Formations
Integrated sensing and communication (ISAC) has emerged as a pivotal technology for advancing low-altitude wireless networks (LAWNs), serving as a critical enabler for next-generation communication systems. This paper investigates the system design for energy-saving unmanned aerial vehicle (UAV) formations in dual-functional LAWNs, where a ground base station (GBS) simultaneously wirelessly controls multiple UAV formations and performs sensing tasks. To enhance flight endurance, we exploit the …

email_enron: Email network (Enron corpus)
The Enron email corpus, containing all the email communication from the Enron corporation, which was made public as a result of legal action. Nodes are email addresses and node i links to node j if i sent at least one email to address j. Non-Enron email addresses are also present, but only their links to/from Enron addresses are observed.
This network has 36692 nodes and 367662 edges.
Tags: Social, Communication, Unweighted, Multigr…

The FBI and agencies in the UK, Canada, and others warn that a Chinese hacking campaign targeting US telecoms has expanded to 80 countries and 200 US companies (Joseph Menn/Washington Post)

FBI warns Chinese hacking campaign has expanded, reaching 80 countries
An FBI official told The Washington Post that Chinese hackers won deep access to major communication carriers in the U.S. and elsewhere.

On the Discretization Error of the Discrete Generalized Quantum Master Equation
Ruojing Peng, Lachlan P. Lindoy, Joonho Lee
https://arxiv.org/abs/2507.19323 https://

On the Discretization Error of the Discrete Generalized Quantum Master Equation
The transfer tensor method (TTM) [Cerrillo and Cao, Phys. Rev. Lett. 2014, 112, 110401] can be considered a discrete-time formulation of the Nakajima-Zwanzig quantum master equation (NZ-QME) for modeling non-Markovian quantum dynamics. A recent paper [Makri, J. Chem. Theory Comput. 2025, 21, 5037] raised concerns regarding the consistency of the TTM discretization, particularly a spurious term at the initial time \( t=0 \). This Communication presents a detailed analysis of the discretization s…

Generative AI for Multimedia Communication: Recent Advances, An Information-Theoretic Framework, and Future Opportunities
Yili Jin, Xue Liu, Jiangchuan Liu
https://arxiv.org/abs/2508.17163

Generative AI for Multimedia Communication: Recent Advances, An Information-Theoretic Framework, and Future Opportunities
Recent breakthroughs in generative artificial intelligence (AI) are transforming multimedia communication. This paper systematically reviews key recent advancements across generative AI for multimedia communication, emphasizing transformative models like diffusion and transformers. However, conventional information-theoretic frameworks fail to address semantic fidelity, critical to human perception. We propose an innovative semantic information-theoretic framework, introducing semantic entropy,…

Connectivity Analysis of LoRaWAN-Based Non-Terrestrial Networks for Subterranean mMTC
Kaiqiang Lin, Mohamed-Slim Alouini
https://arxiv.org/abs/2508.19350 https://

Connectivity Analysis of LoRaWAN-Based Non-Terrestrial Networks for Subterranean mMTC
Wireless underground sensor networks (WUSNs) offer significant social and economic benefits by enabling the monitoring of subterranean entities. However, the communication reliability of WUSNs diminishes in harsh environments where terrestrial network infrastructure is either unavailable or unreliable. To address this challenge, we explore the feasibility of integrating buried massive machine-type communication (mMTC) sensors with non-terrestrial networks (NTNs), including unmanned aerial vehic…

Max-Min Fairness-Oriented Beamforming Design in HAPS-Enabled ISAC for 6G Networks
Parisa Kanani, Mohammad Javad Omidi, Mahmoud Modarres-Hashemi, Halim Yanikomeroglu
https://arxiv.org/abs/2507.18764

Max-Min Fairness-Oriented Beamforming Design in HAPS-Enabled ISAC for 6G Networks
This paper presents a high-altitude platform station (HAPS)-enabled integrated sensing and communication (ISAC) system designed for sixth-generation (6G) networks. Positioned in the stratosphere, HAPS serves as a super-macro base station, leveraging advanced beamforming techniques to enable communication and sensing simultaneously. This research addresses the need for equitable service distribution in 6G networks by focusing on fairness within the HAPS-ISAC system. It tackles a non-convex optim…

Efficient Channel Estimation for Rotatable Antenna-Enabled Wireless Communication
Xue Xiong, Beixiong Zheng, Wen Wu, Xiaodan Shao, Liang Dai, Ming-Min Zhao, Jie Tang
https://arxiv.org/abs/2506.20158

Efficient Channel Estimation for Rotatable Antenna-Enabled Wireless Communication
Rotatable antenna (RA) is a promising antenna architecture that exploits additional spatial degrees of freedom (DoFs) to enhance the communication performance. To fully obtain the performance gain provided by RAs, accurate channel state information (CSI) is essential for adjusting the orientation/boresight of each antenna. In this letter, we propose an efficient channel estimation scheme for RA communication systems, where the base station (BS) can sequentially and adaptively adjust the orienta…

Cooperative Sensing and Communication Beamforming Design for Low-Altitude Economy
Fangzhi Li, Zhichu Ren, Cunhua Pan, Hong Ren, Jing Jin, Qixing Wang, Jiangzhou Wang
https://arxiv.org/abs/2506.20244

Cooperative Sensing and Communication Beamforming Design for Low-Altitude Economy
To empower the low-altitude economy with high-accuracy sensing and high-rate communication, this paper proposes a cooperative integrated sensing and communication (ISAC) framework for aerial-ground networks. In the proposed system, the ground base stations (BSs) cooperatively serve the unmanned aerial vehicles (UAVs), which are equipped for either joint communication and sensing or sensing-only operations. The BSs employ coordinated beamforming to simultaneously transmit communication and sensi…

Communication-Aware Map Compression for Online Path-Planning: A Rate-Distortion Approach
Ali Reza Pedram, Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras
https://arxiv.org/abs/2506.20579

Communication-Aware Map Compression for Online Path-Planning: A Rate-Distortion Approach
This paper addresses the problem of collaborative navigation in an unknown environment, where two robots, referred to in the sequel as the Seeker and the Supporter, traverse the space simultaneously. The Supporter assists the Seeker by transmitting a compressed representation of its local map under bandwidth constraints to support the Seeker's path-planning task. We introduce a bit-rate metric based on the expected binary codeword length to quantify communication cost. Using this metric, we for…

caida_as: CAIDA AS graphs (2004-2007)
A sequence of 122 network snapshots denoting Autonomous System (AS) relationships on the Internet, from 2004-2007, inferred using the Serial-1 method from RouteViews BGP table snapshots and a set of heuristics.
This network has 20731 nodes and 83524 edges.
Tags: Technological, Communication, Unweighted, Temporal

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models
Zihan Wang, Rui Pan, Jiarui Yao, Robert Csordas, Linjie Li, Lu Yin, Jiajun Wu, Tong Zhang, Manling Li, Shiwei Liu
https://arxiv.org/abs/2506.18945

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models
We propose Chain-of-Experts (CoE), a new Mixture-of-Experts (MoE) architecture that introduces sequential expert communication within each layer. Unlike traditional MoE models, where experts operate independently in parallel, CoE processes tokens iteratively across a chain of experts inside a layer. To support dynamic expert selection across iterations, CoE employs a dedicated router at each iteration step within a layer. This design allows tokens to re-evaluate and select different experts dur…

The Case for Time-Shared Computing Resources
Pierre Jacquet, Adrien Luxey-Bitri
https://arxiv.org/abs/2507.19287 https://arxiv.org/pdf/2507.19287

The Case for Time-Shared Computing Resources
The environmental impact of Information and Communication Technologies (ICT) continues to grow, driven notably by increasing usage, rebound effects, and emerging demands. However, despite the virtual nature of its services, the sector remains inherently constrained by its materiality and cannot rely on an infinite pool of resources. As a result, the wide variety of supported services may need to be managed under stricter limits within hosting facilities in the future. Contrary to common assumpt…

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving
Liang Zhang, Xiaoming Zhai, Jionghao Lin, Jionghao Lin, Jennifer Kleiman, Diego Zapata-Rivera, Carol Forsyth, Yang Jiang, Xiangen Hu, Arthur C. Graesser
https://arxiv.org/abs/2507.17753

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving
Large Language Model (LLM) agents are increasingly utilized in AI-aided education to support tutoring and learning. Effective communication strategies among LLM agents improve collaborative problem-solving efficiency and facilitate cost-effective adoption in education. However, little research has systematically evaluated the impact of different communication strategies on agents' problem-solving. Our study examines four communication modes, \textit{teacher-student interaction}, \textit{peer-to…

Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming
Sanghyeok Kim, Jinu Gong, Joonhyuk Kang
https://arxiv.org/abs/2507.20489

Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming
This paper investigates the potential of unmanned aerial vehicles (UAVs) equipped with movable-antenna (MA) arrays to strengthen security in wireless communication systems. We propose a novel framework that jointly optimizes the UAV trajectory and the reconfigurable beamforming of the MA array to maximize secrecy energy efficiency, while ensuring reliable communication with legitimate users. By exploiting the spatial degrees of freedom enabled by the MA array, the system can form highly directi…

Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication
Mohammad Javad Ahmadi, Mohammad Kazemi, Rafael F. Schaefer
https://arxiv.org/abs/2506.20262

Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication
We consider an unsourced random access (URA) system enhanced with a feedback mechanism that serves both communication and sensing tasks. While traditional URA systems do not incorporate feedback, we propose a novel feedback signal design that announces the decoding status of users and simultaneously enables target sensing. To design this dual-purpose feedback, we introduce a modified projected gradient descent algorithm that minimizes a weighted combination of communication and sensing errors. …

TEMPEST-LoRa: Cross-Technology Covert Communication
Xieyang Sun, Yuanqing Zheng, Wei Xi, Zuhao Chen, Zhizhen Chen, Han Hao, Zhiping Jiang, Sheng Zhong
https://arxiv.org/abs/2506.21069

TEMPEST-LoRa: Cross-Technology Covert Communication
Electromagnetic (EM) covert channels pose significant threats to computer and communications security in air-gapped networks. Previous works exploit EM radiation from various components (e.g., video cables, memory buses, CPUs) to secretly send sensitive information. These approaches typically require the attacker to deploy highly specialized receivers near the victim, which limits their real-world impact. This paper reports a new EM covert channel, TEMPEST-LoRa, that builds on Cross-Technology …

A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning
Federico Chiariotti, Andrea Zanella
https://arxiv.org/abs/2508.19141 https://

A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning
The Goal-oriented Communication (GoC) paradigm breaks the separation between communication and the content of the data, tailoring communication decisions to the specific needs of the receiver and targeting application performance. While recent studies show impressive encoding performance in point-to-point scenarios, the multi-node distributed scenario is still almost unexplored. Moreover, the few studies to investigate this consider a centralized collision-free approach, where a central schedul…

lkml_thread: Linux kernel mailing list
A bipartite network of contributions by users to threads on the Linux kernel mailing list. A left node is a person, and a right node is a thread, and each timestamped edge (i,j,t) denotes that user i contributed to thread j at time t. The date of the snapshot is not given.
This network has 379554 nodes and 1565683 edges.
Tags: Social, Communication, Unweighted, Timestamps

Pinching Antenna System for Integrated Sensing and Communications
Haochen Li, Ruikang Zhong, Jiayi Lei, Yuanwei Liu
https://arxiv.org/abs/2508.19540 https://

Pinching Antenna System for Integrated Sensing and Communications
Recently, the pinching antenna system (PASS) has attracted considerable attention due to their advantages in flexible deployment and reduction of signal propagation loss. In this work, a multiple waveguide PASS assisted integrated sensing and communication (ISAC) system is proposed, where the base station (BS) is equipped with transmitting pinching antennas (PAs) and receiving uniform linear array (ULA) antennas. The full-duplex (FD) BS transmits the communication and sensing signals through th…

Performance Analysis of Underwater Optical Wireless Communication Using O-RIS and Fiber Optic Backhaul (Extended version)
Aboozar Heydaribeni, Hamzeh Beyranvand
https://arxiv.org/abs/2508.18915

Performance Analysis of Underwater Optical Wireless Communication Using O-RIS and Fiber Optic Backhaul (Extended version)
This Letter presents a novel hybrid underwater wireless optical communication (UWOC) system that integrates underwater optical access points (UOAPs) with a passive optical network (PON)-based fiber-optic backhaul to provide a resilient backbone. A hard switching mechanism is employed between direct and optical reconfigurable intelligent surface (O-RIS)-assisted links to ensure reliable connectivity. Unlike previous studies, the proposed system is evaluated under both active and multiple passive…

Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation
Michele Grimaldi, Carlo Cernicchiaro, Sebastian Realpe Rua, Alaaeddine El-Masri-El-Chaarani, Markus Buchholz, Loizos Michael, Pere Ridao Rodriguez, Ignacio Carlucho, Yvan R. Petillot
https://arxiv.org/abs/2507.2…

Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation
Robotic platforms have become essential for marine operations by providing regular and continuous access to offshore assets, such as underwater infrastructure inspection, environmental monitoring, and resource exploration. However, the complex and dynamic nature of underwater environments, characterized by limited visibility, unpredictable currents, and communication constraints, presents significant challenges that demand advanced autonomy while ensuring operator trust and oversight. Central t…

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Muhammad Ahmed Mohsin, Junaid Ahmad, Muhammad Hamza Nawaz, Muhammad Ali Jamshed
https://arxiv.org/abs/2508.19495

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Ambient intelligence (AmI) is a computing paradigm in which physical environments are embedded with sensing, computation, and communication so they can perceive people and context, decide appropriate actions, and respond autonomously. Realizing AmI at global scale requires sixth generation (6G) wireless networks with capabilities for real time perception, reasoning, and action aligned with human behavior and mobility patterns. We argue that Generative Artificial Intelligence (GenAI) is the crea…

Communication Efficient LLM Pre-training with SparseLoCo
Amir Sarfi, Benjamin Th\'erien, Joel Lidin, Eugene Belilovsky
https://arxiv.org/abs/2508.15706 https://

Communication Efficient LLM Pre-training with SparseLoCo
Communication-efficient distributed training algorithms have received considerable interest recently due to their benefits for training Large Language Models (LLMs) in bandwidth-constrained settings, such as across data centers and over the internet. Despite reducing communication frequency, these methods still typically require communicating a full copy of the model's gradients-resulting in a communication bottleneck even for cross-datacenter links. Furthermore, they can slightly degrade perfo…

Communication-Efficient Publication of Sparse Vectors under Differential Privacy
Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya
https://arxiv.org/abs/2506.20234

Communication-Efficient Publication of Sparse Vectors under Differential Privacy
In this work, we propose a differentially private algorithm for publishing matrices aggregated from sparse vectors. These matrices include social network adjacency matrices, user-item interaction matrices in recommendation systems, and single nucleotide polymorphisms (SNPs) in DNA data. Traditionally, differential privacy in vector collection relies on randomized response, but this approach incurs high communication costs. Specifically, for a matrix with $N$ users, $n$ columns, and $m$ nonzero …

Understood: Real-Time Communication Support for Adults with ADHD Using Mixed Reality
Shizhen Zhang, Shengxin Li, Quan Li
https://arxiv.org/abs/2507.18151 https://

Understood: Real-Time Communication Support for Adults with ADHD Using Mixed Reality
Adults with Attention Deficit Hyperactivity Disorder (ADHD) often experience communication challenges, primarily due to executive dysfunction and emotional dysregulation, even after years of social integration. While existing interventions predominantly target children through structured or intrusive methods, adults lack tools that translate clinical strategies into daily communication support. To address this gap, we present Understood, a Mixed Reality (MR) system implemented on Microsoft Holo…

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

Cooperative Jamming Detection Using Low-Rank Structure of Received Signal Matrix
Amir Mehrabian, Georges Kaddoum
https://arxiv.org/abs/2507.20504 https://a…

Cooperative Jamming Detection Using Low-Rank Structure of Received Signal Matrix
Wireless communication can be simply subjected to malicious attacks due to its open nature and shared medium. Detecting jamming attacks is the first and necessary step to adopt the anti-jamming strategies. This paper presents novel cooperative jamming detection methods that use the low-rank structure of the received signal matrix. We employed the likelihood ratio test to propose detectors for various scenarios. We regarded several scenarios with different numbers of friendly and jamming nodes a…

Jointly Computation- and Communication-Efficient Distributed Learning
Xiaoxing Ren, Nicola Bastianello, Karl H. Johansson, Thomas Parisini
https://arxiv.org/abs/2508.15509 https…

Jointly Computation- and Communication-Efficient Distributed Learning
We address distributed learning problems over undirected networks. Specifically, we focus on designing a novel ADMM-based algorithm that is jointly computation- and communication-efficient. Our design guarantees computational efficiency by allowing agents to use stochastic gradients during local training. Moreover, communication efficiency is achieved as follows: i) the agents perform multiple training epochs between communication rounds, and ii) compressed transmissions are used. We prove exac…

Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks
Song Son Ha, Florian Foerster, Thomas Robert Doebbert, Tim Kittel, Dominik Merli, Gerd Scholl
https://arxiv.org/abs/2507.20873

Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks
In the era of Industry 4.0, the growing need for secure and efficient communication systems has driven the development of fifth-generation (5G) networks characterized by extremely low latency, massive device connectivity and high data transfer speeds. However, the deployment of 5G networks presents significant security challenges, requiring advanced and robust solutions to counter increasingly sophisticated cyber threats. This paper proposes a testbed and software architecture to strengthen the…

Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems
Jeffrey Heer, Dominik Moritz, Ron Pechuk
https://arxiv.org/abs/2507.19690 http…

Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems
Though powerful tools for analysis and communication, interactive visualizations often fail to support real-time interaction with large datasets with millions or more records. To highlight and filter data, users indicate values or intervals of interest. Such selections may span multiple components, combine in complex ways, and require optimizations to ensure low-latency updates. We describe Mosaic Selections, a model for representing, managing, and optimizing user selections, in which one or mo…

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Robert Schober, H. Vincent Poor, Zhaoyang Zhang, Xiaohu You
https://arxiv.org/abs/2506.18432

A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication
The rapid evolution of forthcoming sixth-generation (6G) wireless networks necessitates the seamless integration of artificial intelligence (AI) with wireless communications to support emerging intelligent applications that demand both efficient communication and robust learning performance. This dual requirement calls for a unified framework of integrated learning and communication (ILAC), where AI enhances communication through intelligent signal processing and adaptive resource management, w…

Secure Satellite Communications via Multiple Aerial RISs: Joint Optimization of Reflection, Association, and Deployment
Zhaole Wang, Naijin Liu, Xiao Tang, Shuai Yuan, Chenxi Wang, Zhi Zhai, Qinghe Du, Jinxin Liu
https://arxiv.org/abs/2508.20455

Secure Satellite Communications via Multiple Aerial RISs: Joint Optimization of Reflection, Association, and Deployment
Satellite communication is envisioned as a key enabler of future 6G networks, yet its wide coverage with high link attenuation poses significant challenges for physical layer security. In this paper, we investigate secure multi-beam, multi-group satellite communications assisted by aerial reconfigurable intelligent surfaces (ARISs). To maximize the sum of achievable multicast rates among the groups while constraining wiretap rates, we formulate a joint optimization problem involving transmissio…

Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data
Nicola Croce, Tobin South
https://arxiv.org/abs/2507.19880 https://

Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data
The Model Context Protocol (MCP) represents a significant advancement in AI-tool integration, enabling seamless communication between AI agents and external services. However, this connectivity introduces novel attack vectors that remain largely unexplored. This paper demonstrates how unsophisticated threat actors, requiring only basic programming skills and free web tools, can exploit MCP's trust model to exfiltrate sensitive financial data. We present a proof-of-concept attack where a malicio…

ChatMyopia: An AI Agent for Pre-consultation Education in Primary Eye Care Settings
Yue Wu, Xiaolan Chen, Weiyi Zhang, Shunming Liu, Wing Man Rita Sum, Xinyuan Wu, Xianwen Shang, Chea-su Kee, Mingguang He, Danli Shi
https://arxiv.org/abs/2507.19498

ChatMyopia: An AI Agent for Pre-consultation Education in Primary Eye Care Settings
Large language models (LLMs) show promise for tailored healthcare communication but face challenges in interpretability and multi-task integration particularly for domain-specific needs like myopia, and their real-world effectiveness as patient education tools has yet to be demonstrated. Here, we introduce ChatMyopia, an LLM-based AI agent designed to address text and image-based inquiries related to myopia. To achieve this, ChatMyopia integrates an image classification tool and a retrieval-aug…

DIFNet: Decentralized Information Filtering Fusion Neural Network with Unknown Correlation in Sensor Measurement Noises
Ruifeng Dong, Ming Wang, Ning Liu, Tong Guo, Jiayi Kang, Xiaojing Shen, Yao Mao
https://arxiv.org/abs/2508.18854

DIFNet: Decentralized Information Filtering Fusion Neural Network with Unknown Correlation in Sensor Measurement Noises
In recent years, decentralized sensor networks have garnered significant attention in the field of state estimation owing to enhanced robustness, scalability, and fault tolerance. Optimal fusion performance can be achieved under fully connected communication and known noise correlation structures. To mitigate communication overhead, the global state estimation problem is decomposed into local subproblems through structured observation model. This ensures that even when the communication network…

MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning
Maciej Wojtala, Bogusz Stefa\'nczyk, Dominik Bogucki, {\L}ukasz Lepak, Jakub Strykowski, Pawe{\l} Wawrzy\'nski
https://arxiv.org/abs/2508.13661

MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning
Communication is essential for the collective execution of complex tasks by human agents, motivating interest in communication mechanisms for multi-agent reinforcement learning (MARL). However, existing communication protocols in MARL are often complex and non-differentiable. In this work, we introduce a self-attention-based communication module that exchanges information between the agents in MARL. Our proposed approach is fully differentiable, allowing agents to learn to generate messages in …

SIMulator: SIM Tracing on a (Pico-)Budget
Gabriel K. Gegenhuber, Philipp \'E. Frenzel, Adrian Dabrowski
https://arxiv.org/abs/2506.20800 https://

SIMulator: SIM Tracing on a (Pico-)Budget
SIM tracing -- the ability to inspect, modify, and relay communication between a SIM card and modem -- has become a significant technique in cellular network research. It enables essential security- and development-related applications such as fuzzing communication interfaces, extracting session keys, monitoring hidden SIM activity (e.g., proactive SIM commands or over-the-air updates), and facilitating scalable, distributed measurement platforms through SIM reuse. Traditionally, achieving thes…

Overview of 3GPP Release 19 Study on Channel Modeling Enhancements to TR 38.901 for 6G
Hitesh Poddar, Dimitri Gold, Daewon Lee, Nan Zhang, Gokul Sridharan, Henrik Asplund, Mansoor Shaf
https://arxiv.org/abs/2507.19266

Overview of 3GPP Release 19 Study on Channel Modeling Enhancements to TR 38.901 for 6G
Channel models are a fundamental component of wireless communication systems, providing critical insights into the physics of radio wave propagation. As wireless systems evolve every decade, the development of accurate and standardized channel models becomes increasingly important for the development, evaluation and performance assessment of emerging technologies. An effort to develop a standardized channel model began around 2000 through the Third Generation Partnership Project (3GPP) and the …

Refining Participatory Design for AAC Users
Blade Frisch, Keith Vertanen
https://arxiv.org/abs/2506.19995 https://arxiv.org/pdf/2506.…

Refining Participatory Design for AAC Users
Augmentative and alternative communication (AAC) is a field of research and practice that works with people who have a communication disability. One form AAC can take is a high-tech tool, such as a software-based communication system. Like all user interfaces, these systems must be designed and it is critical to include AAC users in the design process for their systems. A participatory design approach can include AAC users in the design process, but modifications may be necessary to make these …

Diffusion-based Task-oriented Semantic Communications with Model Inversion Attack
Xuesong Wang, Mo Li, Xingyan Shi, Zhaoqian Liu, Shenghao Yang
https://arxiv.org/abs/2506.19886

Diffusion-based Task-oriented Semantic Communications with Model Inversion Attack
Semantic communication has emerged as a promising neural network-based system design for 6G networks. Task-oriented semantic communication is a novel paradigm whose core goal is to efficiently complete specific tasks by transmitting semantic information, optimizing communication efficiency and task performance. The key challenge lies in preserving privacy while maintaining task accuracy, as this scenario is susceptible to model inversion attacks. In such attacks, adversaries can restore or even…

Multiple Active STAR-RIS-Assisted Secure Integrated Sensing and Communication via Cooperative Beamforming
Hyeonho Noh, Hyeonsu Lyu, Hyun Jong Yang
https://arxiv.org/abs/2507.18035

Multiple Active STAR-RIS-Assisted Secure Integrated Sensing and Communication via Cooperative Beamforming
This paper explores an integrated sensing and communication (ISAC) network empowered by multiple active simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs). A base station (BS) furnishes downlink communication to multiple users while concurrently interrogating a sensing target. We jointly optimize the BS transmit beamformer and the reflection/transmission coefficients of every active STAR-RIS in order to maximize the aggregate communication sum-rate, subje…

Robust and Resilient Networks with Integrated Sensing, Communication and Computation
Ming-Chun Lee, Christian Eckrich, Vahid Jamali, Yu-Chih Huang, Arash Asadi, Li-Chun Wang
https://arxiv.org/abs/2506.19518

Robust and Resilient Networks with Integrated Sensing, Communication and Computation
Emerging applications such as networked robotics, intelligent transportation, smart factories, and virtual and augmented reality demand integrated perception and connectivity enabled by wireless communication. This has driven growing interests in integrated sensing, communication, and computation (ISCC) systems, with a primary focus on their efficient co-designs. However, as ISCC systems increasingly support critical applications, they must not only deliver high performance but also demonstrate…

Understanding Bias in Perceiving Dimensionality Reduction Projections
Seoyoung Doh, Hyeon Jeon, Sungbok Shin, Ghulam Jilani Quadri, Nam Wook Kim, Jinwook Seo
https://arxiv.org/abs/2507.20805

Understanding Bias in Perceiving Dimensionality Reduction Projections
Selecting the dimensionality reduction technique that faithfully represents the structure is essential for reliable visual communication and analytics. In reality, however, practitioners favor projections for other attractions, such as aesthetics and visual saliency, over the projection's structural faithfulness, a bias we define as visual interestingness. In this research, we conduct a user study that (1) verifies the existence of such bias and (2) explains why the bias exists. Our study sugge…

Performance Analysis of Spatiotemporal 2-D Polar Codes for Massive MIMO with MMSE Receivers
Yaqi Li, Xiaohu You, Jiamin Li, Chen Ji, Bin Sheng
https://arxiv.org/abs/2507.19986 h…

Performance Analysis of Spatiotemporal 2-D Polar Codes for Massive MIMO with MMSE Receivers
With the evolution from 5G to 6G, ultra-reliable low-latency communication (URLLC) faces increasingly stringent performance requirements. Lower latency constraints demand shorter channel coding lengths, which can severely degrade decoding performance. The massive multiple-input multiple-output (MIMO) system is considered a crucial technology to address this challenge due to its abundant spatial degrees of freedom (DoF). While polar codes are theoretically capacity-achieving in the limit of infi…

Environmental (in)considerations in the Design of Smartphone Settings
Thomas Thibault, L\'ea Mosesso, Camille Adam, Aur\'elien Tabard, Ana\"elle Beignon, Nolwenn Maudet
https://arxiv.org/abs/2507.19094

Environmental (in)considerations in the Design of Smartphone Settings
Designing for sufficiency is one of many approaches that could foster more moderate and sustainable digital practices. Based on the Sustainable Information and Communication Technologies (ICT) and Human-Computer Interaction (HCI) literature, we identify five environmental settings categories. However, our analysis of three mobile OS and nine representative applications shows an overall lack of environmental concerns in settings design, leading us to identify six pervasive anti-patterns. Environ…

Guard-GBDT: Efficient Privacy-Preserving Approximated GBDT Training on Vertical Dataset
Anxiao Song, Shujie Cui, Jianli Bai, Ke Cheng, Yulong Shen, Giovanni Russello
https://arxiv.org/abs/2507.20688

Guard-GBDT: Efficient Privacy-Preserving Approximated GBDT Training on Vertical Dataset
In light of increasing privacy concerns and stringent legal regulations, using secure multiparty computation (MPC) to enable collaborative GBDT model training among multiple data owners has garnered significant attention. Despite this, existing MPC-based GBDT frameworks face efficiency challenges due to high communication costs and the computation burden of non-linear operations, such as division and sigmoid calculations. In this work, we introduce Guard-GBDT, an innovative framework tailored f…

Near-Field Integrated Imaging and Communication in Distributed MIMO Networks
Kangda Zhi, Tianyu Yang, Shuangyang Li, Yi Song, Amir Rezaei, Giuseppe Caire
https://arxiv.org/abs/2508.17526

Near-Field Integrated Imaging and Communication in Distributed MIMO Networks
In this work, we propose a general framework for wireless imaging in distributed MIMO wideband communication systems, considering multi-view non-isotropic targets and near-field propagation effects. For indoor scenarios where the objective is to image small-scale objects with high resolution, we propose a range migration algorithm (RMA)-based scheme using three kinds of array architectures: the full array, boundary array, and distributed boundary array. With non-isotropic near-field channels, w…

Addressing Weak Authentication like RFID, NFC in EVs and EVCs using AI-powered Adaptive Authentication
Onyinye Okoye
https://arxiv.org/abs/2508.19465 https://

Addressing Weak Authentication like RFID, NFC in EVs and EVCs using AI-powered Adaptive Authentication
The rapid expansion of the Electric Vehicles (EVs) and Electric Vehicle Charging Systems (EVCs) has introduced new cybersecurity challenges, specifically in authentication protocols that protect vehicles, users, and energy infrastructure. Although widely adopted for convenience, traditional authentication mechanisms like Radio Frequency Identification (RFID) and Near Field Communication (NFC) rely on static identifiers and weak encryption, making them highly vulnerable to attack vectors such as…

Performance Analysis of IEEE 802.11bn with Coordinated TDMA on Real-Time Applications
Seungmin Lee, Changmin Lee, Si-Chan Noh, Joonsoo Lee
https://arxiv.org/abs/2508.18755 https…

Performance Analysis of IEEE 802.11bn with Coordinated TDMA on Real-Time Applications
Wi-Fi plays a crucial role in connecting electronic devices and providing communication services in everyday life. Recently, there has been a growing demand for services that require low-latency communication, such as real-time applications. The latest amendments to Wi-Fi, IEEE 802.11bn, are being developed to address these demands with technologies such as the multiple access point coordination (MAPC). In this paper, we demonstrate that coordinated TDMA (Co-TDMA), one of the MAPC techniques, e…

Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC
Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Chen Yi, Chenqi Lin, Runsheng Wang, Meng Li
https://arxiv.org/abs/2508.19525

Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC
This paper presents an efficient framework for private Transformer inference that combines Homomorphic Encryption (HE) and Secure Multi-party Computation (MPC) to protect data privacy. Existing methods often leverage HE for linear layers (e.g., matrix multiplications) and MPC for non-linear layers (e.g., Softmax activation functions), but the conversion between HE and MPC introduces significant communication costs. The proposed framework, dubbed BLB, overcomes this by breaking down layers into …

Blind Channel Estimation for RIS-Assisted Millimeter Wave Communication Systems
Dianhao Jia, Wenqian Shen, Jianping An, Byonghyo Shim
https://arxiv.org/abs/2508.17710 https://…

Blind Channel Estimation for RIS-Assisted Millimeter Wave Communication Systems
In the research of RIS-assisted communication systems, channel estimation is a problem of vital importance for further performance optimization. In order to reduce the pilot overhead to the greatest extent, blind channel estimation methods are required, which can estimate the channel and the transmit signals at the same time without transmitting pilot sequence. Different from existing researches in traditional MIMO systems, the RIS-assisted two-hop channel brings new challenges to the blind cha…

An Optimal Transport-Based Method for Computing LM Rate and Its Convergence Analysis
Shitong Wu, Wenhao Ye, Xinwei Li, Lingyi Chen, Wenyi Zhang, Huihui Wu, Hao Wu
https://arxiv.org/abs/2507.20129

An Optimal Transport-Based Method for Computing LM Rate and Its Convergence Analysis
The mismatch capacity characterizes the highest information rate of the channel under a prescribed decoding metric and serves as a critical performance indicator in numerous practical communication scenarios. Compared to the commonly used Generalized Mutual Information (GMI), the Lower bound on the Mismatch capacity (LM rate) generally provides a tighter lower bound on the mismatch capacity. However, the efficient computation of the LM rate is significantly more challenging than that of the GMI…

Demonstrator Testbed for Effective Precoding in MEO Multibeam Satellites
Jorge L. Gonz\'alez-Rios, Liz Mart\'inez Marrero, Juan Duncan, Luis M. Garc\'es-Socarr\'as, Raudel Cuiman Marquez, Juan A. V\'asquez Peralvo, Jevgenij Krivochiza, Symeon Chatzinotas, Bj\"orn Ottersten
https://arxiv.org/abs/2508.19657

Demonstrator Testbed for Effective Precoding in MEO Multibeam Satellites
The use of communication satellites in medium Earth orbit (MEO) is foreseen to provide quasi-global broadband Internet connectivity in the coming networking ecosystems. Multi-user multiple-input single-output (MU-MISO) digital signal processing techniques, such as precoding, emerge as appealing technological enablers in the forward link of multi-beam satellite systems operating in full frequency reuse (FFR). However, the orbit dynamics of MEO satellites pose additional challenges that must be c…

Replaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- Suppressing Beam Squint Effect For Near-Field Wideband Communication Through Movable Antennas
Yanze Zhu, Qingqing Wu, Yang Liu, Qingjiang Shi, Wen Chen

Multi-Resolution Codebook Design and Multiuser Interference Management for Discrete XL-RIS-Aided Near-Field MIMO Systems
Qian Zhang, Zheng Dong, Zheng Dong, Yao Ge, Yong Liang Guan, Ju Liu, Chau Yuen
https://arxiv.org/abs/2508.18582

Multi-Resolution Codebook Design and Multiuser Interference Management for Discrete XL-RIS-Aided Near-Field MIMO Systems
Extremely large-scale reconfigurable intelligent surface (XL-RIS) can effectively overcome severe fading and provide higher communication performance. However, current research on XL-RIS overlooks the discrete phase-shift characteristics of RIS in practical systems, which will result in significant performance degradation.In this paper, we investigate near-field communication schemes assisted by XL-RIS with discrete phase shifts.Specifically, we propose a hierarchical beam training method to ob…