Tootfinder

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
Shilong Wang, Jianchun Liu, Hongli Xu, Chenxia Tang, Qianpiao Ma, Liusheng Huang
https://arxiv.org/abs/2509.08409

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
Decentralized Federated Graph Learning (DFGL) overcomes potential bottlenecks of the parameter server in FGL by establishing a peer-to-peer (P2P) communication network among workers. However, while extensive cross-worker communication of graph node embeddings is crucial for DFGL training, it introduces substantial communication costs. Most existing works typically construct sparse network topologies or utilize graph neighbor sampling methods to alleviate the communication overhead in DFGL. Intu…

Multi Robot Coordination in Highly Dynamic Environments: Tackling Asymmetric Obstacles and Limited Communication
Vincenzo Suriani, Daniele Affinita, Domenico D. Bloisi, Daniele Nardi
https://arxiv.org/abs/2509.08859

Multi Robot Coordination in Highly Dynamic Environments: Tackling Asymmetric Obstacles and Limited Communication
Coordinating a fully distributed multi-agent system (MAS) can be challenging when the communication channel has very limited capabilities in terms of sending rate and packet payload. When the MAS has to deal with active obstacles in a highly partially observable environment, the communication channel acquires considerable relevance. In this paper, we present an approach to deal with task assignments in extremely active scenarios, where tasks need to be frequently reallocated among the agents pa…

Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic Communication
Omar Erak, Omar Alhussein, Hatem Abou-Zeid, Mehdi Bennis
https://arxiv.org/abs/2509.09168

Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic Communication
Large-scale transformer models have emerged as a powerful tool for semantic communication systems, enabling edge devices to extract rich representations for robust inference across noisy wireless channels. However, their substantial computational demands remain a major barrier to practical deployment in resource-constrained 6G networks. In this paper, we present a training-free framework for adaptive token merging in pretrained vision transformers to jointly reduce inference time and transmissi…

Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Shuhao Zeng, Haobo Zhang, Boya Di, Hongliang Zhang, Zijian Shao, Zhu Han, H. Vincent Poor, Lingyang Song
https://arxiv.org/abs/2509.08113

Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Integrated sensing and communication (ISAC) is envisioned as a key technology in 6G networks, owing to its potential for high spectral and cost efficiency. As a promising solution for extremely large-scale arrays, reconfigurable holographic surfaces (RHS) can be integrated with ISAC to form the holographic ISAC paradigm, where enlarged radiation apertures of RHS can achieve significant beamforming gains, thereby improving both communication and sensing performance. In this paper, we investigate…

GmSLM : Generative Marmoset Spoken Language Modeling
Talia Sternberg, Michael London, David Omer, Yossi Adi
https://arxiv.org/abs/2509.09198 https://arxiv.…

GmSLM : Generative Marmoset Spoken Language Modeling
Marmoset monkeys exhibit complex vocal communication, challenging the view that nonhuman primates vocal communication is entirely innate, and show similar features of human speech, such as vocal labeling of others and turn-taking. Studying their vocal communication offers a unique opportunity to link it with brain activity-especially given the difficulty of accessing the human brain in speech and language research. Since Marmosets communicate primarily through vocalizations, applying standard L…

Persuasion Gains and Losses from Peer Communication
Toygar T. Kerman, Anastas P. Tenev, Konstantin Zabarnyi
https://arxiv.org/abs/2509.09099 https://arxiv.…

Persuasion Gains and Losses from Peer Communication
We study a Bayesian persuasion setting in which a sender wants to persuade a critical mass of receivers by revealing partial information about the state to them. The homogeneous binary-action receivers are located on a communication network, and each observes the private messages sent to them and their immediate neighbors. We examine how the sender's expected utility varies with increased communication among receivers. We show that for general families of networks, extending the network can str…

Rotatable Array-Aided Hybrid Beamforming for Integrated Sensing and Communication
Zequan Wang, Liang Yin, Yitong Liu, Yunan Sun, Hongwen Yang
https://arxiv.org/abs/2509.08652 ht…

Rotatable Array-Aided Hybrid Beamforming for Integrated Sensing and Communication
Integrated Sensing and Communication (ISAC) is one of the pivotal supporting technologies for next-generation wireless communication networks. As an emerging technical means, the new six-dimensional movable antenna (6DMA) system can effectively improve the communication and sensing performance of ISAC systems. However, related research on the architecture based on three-dimensional rotatable antennas (RA) remains relatively limited. Especially under the influence of non-ideal channel characteri…

Post-truth and populism in politics, communication and discourse https://call-for-papers.sas.upenn.edu/cfp/2025/10/09/post-truth-and-populism-in-politics-communication-and-discourse

Information and Communication Theoretical Foundations of the Internet of Plants, Principles, Challenges, and Future Directions
Ahmet B. Kilic, Ozgur B. Akan
https://arxiv.org/abs/2509.08434

Information and Communication Theoretical Foundations of the Internet of Plants, Principles, Challenges, and Future Directions
Plants exchange information through multiple modalities, including chemical, electrical, mycorrhizal, and acoustic signaling, which collectively support survival, defense, and adaptation. While these processes are well documented in biology, their systematic analysis from an Information and Communication Technology (ICT) perspective remains limited. To address this gap, this article is presented as a tutorial with survey elements. It provides the necessary biological background, reformulates in…

Proactive security communication is a sign of a healthy community: https://github.com/rust-lang/crates.io/discussions/11889
via @……

Foundation Health, which develops an AI assistant to automate patient communication and prior authorization workflows for pharmacies, raised a $20M Series A (Heather Landi/Fierce Healthcare)
https://www.fiercehealthcare.com/health-te

The quantum communication power of indefinite causal order
Xuanqiang Zhao, Benchi Zhao, Giulio Chiribella
https://arxiv.org/abs/2510.08507 https://arxiv.or…

The quantum communication power of indefinite causal order
Quantum theory is in principle compatible with scenarios where physical processes take place in an indefinite causal order, a possibility that was shown to yield advantages in several information processing tasks. However, advantages in communication, the most basic form of information processing, have so far remained controversial and hard to prove. Here we develop a framework that can be used to rigorously assess the role of causal order in a scenario where communication links are built by as…

Explaining the Reputational Risks of AI-Mediated Communication: Messages Labeled as AI-Assisted Are Viewed as Less Diagnostic of the Sender's Moral Character
Pranav Khadpe, Kimi Wenzel, George Loewenstein, Geoff Kaufman
https://arxiv.org/abs/2509.09645

Explaining the Reputational Risks of AI-Mediated Communication: Messages Labeled as AI-Assisted Are Viewed as Less Diagnostic of the Sender's Moral Character
When someone sends us a thoughtful message, we naturally form judgments about their character. But what happens when that message carries a label indicating it was written with the help of AI? This paper investigates how the appearance of AI assistance affects our perceptions of message senders. Adding nuance to previous research, through two studies (N=399) featuring vignette scenarios, we find that AI-assistance labels don't necessarily make people view senders negatively. Rather, they dampen…

Thinking about self-hosting a chat system but it's really weird how militaristic the websites are !
E.g. rocket chat https://www.rocket.chat/ and mattermost https://

The role of communication delays in the optimal control of spatially invariant systems
Luca Ballotta, Juncal Arbelaiz, Vijay Gupta, Luca Schenato, Mihailo R. Jovanovi\'c
https://arxiv.org/abs/2509.09269

The role of communication delays in the optimal control of spatially invariant systems
We study optimal proportional feedback controllers for spatially invariant systems when the controller has access to delayed state measurements received from different spatial locations. We analyze how delays affect the spatial locality of the optimal feedback gain leveraging the problem decoupling in the spatial frequency domain. For the cases of expensive control and small delay, we provide exact expressions of the optimal controllers in the limit for infinite control weight and vanishing del…

Secure and Trustful Cross-domain Communication with Decentralized Identifiers in 5G and Beyond
Hai Dinh-Tuan, Sandro Rodriguez Garzon, Jianeng Fu
https://arxiv.org/abs/2509.05797

Secure and Trustful Cross-domain Communication with Decentralized Identifiers in 5G and Beyond
In the evolving landscape of future mobile networks, there is a critical need for secure and trustful communication modalities to support dynamic interactions among core network components of different network domains. This paper proposes the application of W3C-endorsed Decentralized Identifiers (DIDs) to establish secure and trustful communication channels among network functions in 5G and subsequent generations. A new communication agent is introduced that integrates seamlessly with 5G-standa…

The people behind #ChatControl claim that they are not breaking end-to-end encryption. At the same time, private messages on services with end-to-end encryption will be intercepted to uncover crimes.

This means that we have to seriously start talking about the thought experiment Schrödinger's chat. We can safely continue to use chat services that offer secure communication as long as…

Human-in-the-loop Learning Through Decentralized Communication Mechanisms
Yiting Hu, Lingjie Duan
https://arxiv.org/abs/2509.09574 https://arxiv.org/pdf/25…

Human-in-the-loop Learning Through Decentralized Communication Mechanisms
Information sharing platforms like TripAdvisor and Waze involve human agents as both information producers and consumers. All these platforms operate in a centralized way to collect agents' latest observations of new options (e.g., restaurants, hotels, travel routes) and share such information with all in real time. However, after hearing the central platforms' live updates, many human agents are found selfish and unwilling to further explore unknown options for the benefit of others in the lon…

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives
Haoxiang Luo, Yu Yan, Yanhui Bian, Wenjiao Feng, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Gang Sun, Dusit Niyato, Hongfang Yu, Abbas Jamalipour, Shiwen Mao
https://arxiv.org/abs/2509.09193

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives
Artificial Intelligence (AI) techniques play a pivotal role in optimizing wireless communication networks. However, traditional deep learning approaches often act as closed boxes, lacking the structured reasoning abilities needed to tackle complex, multi-step decision problems. This survey provides a comprehensive review and outlook of reasoning-enabled AI in wireless communication networks, with a focus on Large Language Models (LLMs) and other advanced reasoning paradigms. In particular, LLM-…

Strategic Communication Protocols for Interstellar Objects Using a Threat-Communication Viability Index and the Information-Communication Paradox
David R. Gruber
https://arxiv.org/abs/2510.03973

Strategic Communication Protocols for Interstellar Objects Using a Threat-Communication Viability Index and the Information-Communication Paradox
Strategic Communication Protocols provide a structured approach for first contact with interstellar objects that demonstrate technological characteristics and high levels of threat. The protocols find their starting point in an ISO Information-Communication Paradox, namely, as our knowledge of an ISO's threatening capabilities increases, the probability of successful communication decreases while the urgency of communication attempts simultaneously intensifies. From this paradox, a Threat-Commu…

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems
Junjie Ni, Tong Wu, Zhiyong Chen, Yin Xu, Meixia Tao, Wenjun Zhang
https://arxiv.org/abs/2509.09499

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems
In this paper, we propose a mixture of semantics (MoS) transmission strategy for wireless semantic communication systems based on generative artificial intelligence (AI). At the transmitter, we divide an image into regions of interest (ROI) and reigons of non-interest (RONI) to extract their semantic information respectively. Semantic information of ROI can be allocated more bandwidth, while RONI can be represented in a compact form for transmission. At the receiver, a diffusion model reconstru…

Electrophoretic Beamforming in Molecular Communication: Toward Targeted Extracellular Vesicle Delivery
Mohammad Zoofaghari, Liv Cornelia Middelthon, Mladen Veleti\'c, Ilangko Balasingham
https://arxiv.org/abs/2509.09339

Electrophoretic Beamforming in Molecular Communication: Toward Targeted Extracellular Vesicle Delivery
Directing extracellular vesicles (EVs), such as exosomes and microvesicles, toward specific cells is an emerging focus in nanomedicine, owing to their natural role as carriers of proteins, RNAs, and drugs. EVs can be manipulated by external electric fields due to their intrinsic surface charge and biophysical properties. This study investigates the feasibility of using extremely low-frequency electromagnetic fields to guide EV transport. A theoretical framework based on the Fokker-Planck equati…

Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
Maysam Behmanesh, Erkan Turan, Maks Ovsjanikov
https://arxiv.org/abs/2509.09597 https://

Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
Graph alignment-the problem of identifying corresponding nodes across multiple graphs-is fundamental to numerous applications. Most existing unsupervised methods embed node features into latent representations to enable cross-graph comparison without ground-truth correspondences. However, these methods suffer from two critical limitations: the degradation of node distinctiveness due to oversmoothing in GNN-based embeddings, and the misalignment of latent spaces across graphs caused by structura…

Public Communication with Externalities
Georgy Lukyanov, Konstantin Shamruk, Tong Su, Ahmed Wakrim
https://arxiv.org/abs/2509.08850 https://arxiv.org/pdf/2…

Public Communication with Externalities
This paper develops a model in which a sender strategically communicates with a group of receivers whose payoffs depend on the sender's information. It is shown that aggregate payoff externalities create an endogenous conflict of interests between the sender and the receivers, rendering full information revelation, in general infeasible. We demonstrate that an exogenous bias in the sender's preferences can improve public information provision and raise welfare. Two applications of the setup are…

Series A, Episode 02 - Space Fall
LEYLAN: Dainer!
[Dainer goes over to Leylan]
DAINER: Sir?
LEYLAN: He wasn't armed.
DAINER: We were lucky. They couldn't find the armoury. We've got most of them back to their quarters, we're just mopping up now.
https://blake.torpidity.net/m/102/366

Privacy Preserving Semantic Communications Using Vision Language Models: A Segmentation and Generation Approach
Haoran Chang, Mingzhe Chen, Huaxia Wang, Qianqian Zhang
https://arxiv.org/abs/2509.08142 …

Privacy Preserving Semantic Communications Using Vision Language Models: A Segmentation and Generation Approach
Semantic communication has emerged as a promising paradigm for next-generation wireless systems, improving the communication efficiency by transmitting high-level semantic features. However, reliance on unimodal representations can degrade reconstruction under poor channel conditions, and privacy concerns of the semantic information attack also gain increasing attention. In this work, a privacy-preserving semantic communication framework is proposed to protect sensitive content of the image dat…

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Thuy Ngoc Nguyen, Anita Williams Woolley, Cleotilde Gonzalez
https://arxiv.org/abs/2509.09314

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Coordinated teamwork is essential in fast-paced decision-making environments that require dynamic adaptation, often without an opportunity for explicit communication. Although implicit coordination has been extensively considered in the existing literature, the majority of work has focused on co-located, synchronous teamwork (such as sports teams) or, in distributed teams, primarily on coordination of knowledge work. However, many teams (firefighters, military, law enforcement, emergency respon…

Camarades, je viens de publier un article sur la "communication en groupe pour l'activisme" :
https://blogs.mediapart.fr/xcli/blog/090925/communiquer-en-groupe-pour-lactivisime
À mettre dans tous les poings levés 💗 ✊
V…

Communiquer en groupe pour l'activisime
Dans ce billet, nous allons discuter de bonnes pratiques pour la communication sécurisée lors de la préparation et de réalisation d'actions militantes. En particulier, nous verrons pourquoi Signal, Whatsapp ou Telegram ne sont pas recommandés avant et pendant les actions militantes. Des solutions alternatives plus sûres seront proposées.

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

From Physical to Logical: Graph-State-Based Connectivity in Quantum Networks
Mateo M. Blanco, Manuel Fern\'andez-Veiga, Ana Fern\'andez-Vilas, Rebeca P. D\'iaz-Redondo
https://arxiv.org/abs/2509.08384

From Physical to Logical: Graph-State-Based Connectivity in Quantum Networks
Entanglement is a key resource in quantum communication, but bipartite schemes are often insufficient for advanced protocols like quantum secret sharing or distributed computing. Graph states offer a flexible way to represent and manage multipartite entanglement in quantum networks, enabling logical connectivity through local operations and classical communication (LOCC). In this work, we extend existing approaches based on bi-star configurations to more complex multi-star topologies. We analyz…

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software
Srijita Basu, Haraldsson Bengt, Miroslaw Staron, Christian Berger, Jennifer Horkoff, Magnus Almgren
https://arxiv.org/abs/2510.07941

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software
Cooperative, Connected and Automated Mobility (CCAM) are complex cyber-physical systems (CPS) that integrate computation, communication, and control in safety-critical environments. At their core, System-on-Chip (SoC) platforms consolidate processing units, communication interfaces, AI accelerators, and security modules into a single chip. AUTOSAR (AUTomotive Open System ARchitecture) standard was developed in the automotive domain to better manage this complexity, defining layered software str…

Generalized User-Oriented Image Semantic Coding Empowered by Large Vision-Language Model
Sin-Yu Huang, Vincent W. S. Wong
https://arxiv.org/abs/2509.08913 https://

Generalized User-Oriented Image Semantic Coding Empowered by Large Vision-Language Model
Semantic communication has shown outstanding performance in preserving the overall source information in wireless transmission. For semantically rich content such as images, human users are often interested in specific regions depending on their intent. Moreover, recent semantic coding models are mostly trained on specific datasets. However, real-world applications may involve images out of the distribution of training dataset, which makes generalization a crucial but largely unexplored problem…

Bio-inspired decision making in swarms under biases from stubborn robots, corrupted communication, and independent discovery
Raina Zakir, Timoteo Carletti, Marco Dorigo, Andreagiovanni Reina
https://arxiv.org/abs/2509.07561

Bio-inspired decision making in swarms under biases from stubborn robots, corrupted communication, and independent discovery
Minimalistic robot swarms offer a scalable, robust, and cost-effective approach to performing complex tasks with the potential to transform applications in healthcare, disaster response, and environmental monitoring. However, coordinating such decentralised systems remains a fundamental challenge, particularly when robots are constrained in communication, computation, and memory. In our study, individual robots frequently make errors when sensing the environment, yet the swarm can rapidly and r…

One-on-One with Alex Austin | Patriots Unfiltered on TV https://www.patriots.com/video/one-on-one-with-alex-austin-patriots-unfiltered-on-tv

DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge
Zonghai Yao, Michael Sun, Won Seok Jang, Sunjae Kwon, Soie Kwon, Hong Yu
https://arxiv.org/abs/2509.07188 …

DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge
Discharge communication is a critical yet underexplored component of patient care, where the goal shifts from diagnosis to education. While recent large language model (LLM) benchmarks emphasize in-visit diagnostic reasoning, they fail to evaluate models' ability to support patients after the visit. We introduce DischargeSim, a novel benchmark that evaluates LLMs on their ability to act as personalized discharge educators. DischargeSim simulates post-visit, multi-turn conversations between LLM-…

Tools of the Patriarchy: How Communication Double Standards Silence Women - Ms. Magazine
https://msmagazine.com/2025/09/08/communication-double-standard-women-sorry-mainsplaining-work/

Whoa. My @… talk was accepted. Come and join the only talk that will not be recorded.
https://pretalx.linuxdays.cz/linuxdays-2025/talk/KGHCKC/

FOSS tools to fight back! LinuxDays 2025
Everyone is trying to control your communication. The reasons vary from simple curiosity to pure commercial interest, all the way to using it to control one's thoughts. Are there any ways to fight back, and why are free software and open-source tools a good alternative to the ones you use? As cypherpunks, do we have the obligation to help people be ready for the worst, or should we only take care of ourselves? In this talk, I will cover my experience with fighting back against #chatcontrol …

AI-Driven Post-Quantum Cryptography for Cyber-Resilient V2X Communication in Transportation Cyber-Physical Systems
Akid Abrar, Sagar Dasgupta, Mizanur Rahman, Ahmad Alsharif
https://arxiv.org/abs/2510.08496

AI-Driven Post-Quantum Cryptography for Cyber-Resilient V2X Communication in Transportation Cyber-Physical Systems
Transportation Cyber-Physical Systems (TCPS) integrate physical elements, such as transportation infrastructure and vehicles, with cyber elements via advanced communication technologies, allowing them to interact seamlessly. This integration enhances the efficiency, safety, and sustainability of transportation systems. TCPS rely heavily on cryptographic security to protect sensitive information transmitted between vehicles, transportation infrastructure, and other entities within the transporta…

A Subquadratic Two-Party Communication Protocol for Minimum Cost Flow
Hossein Gholizadeh, Yonggang Jiang
https://arxiv.org/abs/2510.03427 https://arxiv.org…

A Subquadratic Two-Party Communication Protocol for Minimum Cost Flow
In this paper, we discuss the maximum flow problem in the two-party communication model, where two parties, each holding a subset of edges on a common vertex set, aim to compute the maximum flow of the union graph with minimal communication. We show that this can be solved with $\tilde{O}(n^{1.5})$ bits of communication, improving upon the trivial $\tilde{O}(n^2)$ bound. To achieve this, we derive two additional, more general results: 1. We present a randomized algorithm for linear programs…

Joint Optimization of Computation Offloading and Resource Allocation in ISAC-assisted SAGIN-based IoT
Sooyeob Jung, Seongah Jeong, Jinkyu Kang
https://arxiv.org/abs/2509.08238 h…

Joint Optimization of Computation Offloading and Resource Allocation in ISAC-assisted SAGIN-based IoT
In this letters, an energy-efficient integrated sensing and communication (ISAC) for space-air-ground integrated network (SAGIN)-based Internet of Things (IoT) systems is proposed to facilitate wide coverage and real-time 6G services. For processing a sizable data collected at a IoT device, a hybrid edge computing scheme is applied with the cloudlets mounted at autonomous aerial vehicle (AAV) and low earth orbit (LEO) satellite, where the AAV with multiple antennas performs uplink sensing of th…

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis
Yejin Jeon, Youngjae Kim, Jihyun Lee, Hyounghun Kim, Gary Geunbae Lee
https://arxiv.org/abs/2509.07376

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis
For individuals who have experienced traumatic events such as strokes, speech may no longer be a viable means of communication. While text-to-speech (TTS) can be used as a communication aid since it generates synthetic speech, it fails to preserve the user's own voice. As such, face-to-voice (FTV) synthesis, which derives corresponding voices from facial images, provides a promising alternative. However, existing methods rely on pre-trained visual encoders, and finetune them to align with speec…

The role of communication in effective business management
Dariusz Baran, Ernest G\'orka, Micha{\l} \'Cwi\k{a}ka{\l}a, Gabriela Wojak, Mateusz Grzelak, Katarzyna Olszy\'nska, Piotr Mrzyg{\l}\'od, Maciej Frasunkiewicz, Piotr R\k{e}czajski, Maciej \'Slusarczyk, Jan Piwnik
https://arxiv.org/abs/2510.07016

The role of communication in effective business management
This paper examines the impact of internal communication on effective business management through a comparative analysis of two medium-sized car rental companies operating in Poland. Using a structured survey completed by 220 employees, the study evaluates 15 communication-related factors, including feedback culture, managerial accessibility, message clarity, and interdepartmental coordination. The findings indicate that Company X significantly outperforms Company Y across all evaluated dimensi…

Event Driven CBBA with Reduced Communication
Vinita Sao, Tu Dac Ho, Sujoy Bhore, P. B. Sujit
https://arxiv.org/abs/2509.06481 https://arxiv.org/pdf/2509.06…

Event Driven CBBA with Reduced Communication
In various scenarios such as multi-drone surveillance and search-and-rescue operations, deploying multiple robots is essential to accomplish multiple tasks at once. Due to the limited communication range of these vehicles, a decentralised task allocation algorithm is crucial for effective task distribution among robots. The consensus-based bundle algorithm (CBBA) has been promising for multi-robot operation, offering theoretical guarantees. However, CBBA demands continuous communication, leadin…

Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
Murat Temiz, Yongwei Zhang, Yanwei Fu, Chi Zhang, Chenfeng Meng, Orhan Kaplan, Christos Masouros
https://arxiv.org/abs/2509.06968

Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
This article comprehensively reviews recent developments and research on deep learning-based (DL-based) techniques for integrated sensing and communication (ISAC) systems. ISAC, which combines sensing and communication functionalities, is regarded as a key enabler for 6G and beyond networks, as many emerging applications, such as vehicular networks and industrial robotics, necessitate both sensing and communication capabilities for effective operation. A unified platform that provides both func…

Power and limitations of distributed quantum state purification
Benchi Zhao, Yu-Ao Chen, Xuanqiang Zhao, Chengkai Zhu, Giulio Chiribella, Xin Wang
https://arxiv.org/abs/2509.08691

Power and limitations of distributed quantum state purification
Quantum state purification, which mitigates noise by exploiting multiple noisy copies of unknown states, has applications in quantum communication and computation with imperfect devices. Despite its importance, the fundamental capabilities and limitations of purification in distributed quantum systems remain largely unexplored. Here, we systematically study distributed quantum state purification under local operations and classical communication (LOCC). We prove that no nontrivial two-to-one LO…

@… mostly thinking about Monday’s incident, where active build infections were still happening but (imo) very little communication about it as folks were (to be fair) scrambling to minimize the impact

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Gut-Brain Axis as a Closed-Loop Molecular Communication Network
Beyza E. Ortlek, Ozgur B. Akan
https://arxiv.org/abs/2509.07911 https://arxiv.org/pdf/2509.…

Gut-Brain Axis as a Closed-Loop Molecular Communication Network
Molecular communication (MC) provides a quantitative framework for analyzing information transfer within biological systems. This paper introduces a novel and comprehensive MC framework for the gut-brain axis (GBA) as a system of six coupled, nonlinear delay differential equations (DDEs). The proposed model defines a bidirectional feedback loop with a gut-to-brain inflammatory channel and a brain-to-gut neuroendocrine channel. Under prolonged stress, this feedback loop becomes self-perpetuating…

User Exploration and Exploitation Behavior Under the Influence of Real-time Interactions in Live Streaming Environments
Akira Matsui, Kazuki Fujikawa, Ryo Sasaki, Ryo Adachi
https://arxiv.org/abs/2509.09138

User Exploration and Exploitation Behavior Under the Influence of Real-time Interactions in Live Streaming Environments
Live streaming platforms offer a distinctive way for users and content creators to interact with each other through real-time communication. While research on user behavior in online platforms has explored how users discover their favorite content from creators and engage with them, the role of real-time features remains unclear. There are open questions as to what commonalities and differences exist in users' relationships with live streaming platforms compared to traditional on-demand style p…

Integrated Localization, Mapping, and Communication through VCSEL-Based Light-emitting RIS (LeRIS)
Rashid Iqbal, Dimitrios Bozanis, Dimitrios Tyrovolas, Christos K. Liaskos, Muhammad Ali Imran, George K. Karagiannidis, Hanaa Abumarshoud
https://arxiv.org/abs/2510.08071

Integrated Localization, Mapping, and Communication through VCSEL-Based Light-emitting RIS (LeRIS)
This paper presents a light-emitting reconfigurable intelligent surface (LeRIS) architecture that integrates vertical cavity surface emitting lasers (VCSELs) to jointly support user localization, obstacle-aware mapping, and millimeter-wave (mmWave) communication in programmable wireless environments (PWEs). Unlike prior light-emitting diode (LED)-based LeRIS designs with diffuse emission or LiDAR-assisted schemes requiring bulky sensing modules, the proposed VCSEL-based approach exploits narrow…

From the comments: up_versus_down Marine Corps sniper here: In a sniper-spotter team, the communication is highly coordinated and silent. While there is no single, universally recognized hand signal for the precise moment of a sniper shot, a series of signals are used leading up to and confirming the engagement. The specific signals can vary by military branch or operational context, but they generally involve the following.

Integrated Communication and Computing in Time-Varying mmWave Channels
Joan \c{C}ollaku, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu, Takumi Takahashi
https://arxiv.org/abs/2509.07482

Integrated Communication and Computing in Time-Varying mmWave Channels
We propose a novel framework for integrated communication and computing (ICC) transceiver design in time-varying millimeter-wave (mmWave) channels. In particular, in order to cope with the dynamics of time-varying mmWave channels, the detection of communication symbols and the execution of an over-the-air computing (AirComp) operation are performed in parallel with channel tracking, as opposed to existing state-of-the-art (SotA) on ICC where perfect knowledge of the channel at all time instance…

Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
Hachem Madmoun, Salem Lahlou
https://arxiv.org/abs/2510.05748 https://

Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
Eliciting cooperation in multi-agent LLM systems is critical for AI alignment. We investigate two approaches: direct communication and curriculum learning. In a 4-player Stag Hunt, a one-word "cheap talk" channel increases cooperation from 0% to 48.3%, demonstrating communication as a robust coordination mechanism. In contrast, we find that curriculum learning is highly sensitive to design choices: our pedagogical curriculum through progressively complex games reduced agent payoffs by 27.4% in …

Crosslisted article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic Communication
Omar Erak, Omar Alhussein, Hatem Abou-Zeid, Mehdi Bennis

Visualization of Interpersonal Communication using Indoor Positioning Technology with UWB Tags
Hayato Shinto, Yu Ohki, Kenji Mizumoto, Kei Saito
https://arxiv.org/abs/2510.06797

Visualization of Interpersonal Communication using Indoor Positioning Technology with UWB Tags
In conjunction with a social gathering held on a university campus, the movement of attendees were tracked within the venue for approximately two hours using a UWB indoor positioning system, in order to visualize their interpersonal communication. Network and community analyses were performed on attendee interaction data, and the evolution of communities over time was further investigated through repeated community analysis at different time points. Furthermore, recognizing the influence of dis…

Beyond Canonical Rounds: Communication Abstractions for Optimal Byzantine Resilience
Hagit Attiya, Itay Flam, Jennifer L. Welch
https://arxiv.org/abs/2510.04310 https://

Beyond Canonical Rounds: Communication Abstractions for Optimal Byzantine Resilience
We study communication abstractions for asynchronous Byzantine fault tolerance with optimal failure resilience, where $n > 3f$. Two classic patterns -- canonical asynchronous rounds and communication-closed layers -- have long been considered as general frameworks for designing distributed algorithms, making asynchronous executions appear synchronous and enabling modular reasoning. We show that these patterns are inherently limited in the critical resilience regime $3f < n \le 5f$. Several ke…

Dynamic Control Aware Semantic Communication Enabled Image Transmission for Lunar Landing
Fangzhou Zhao, Yao Sun, Jianglin Lan, Muhammad Ali Imran
https://arxiv.org/abs/2510.06916

Dynamic Control Aware Semantic Communication Enabled Image Transmission for Lunar Landing
The primary challenge in autonomous lunar landing missions lies in the unreliable local control system, which has limited capacity to handle high-dynamic conditions, severely affecting landing precision and safety. Recent advancements in lunar satellite communication make it possible to establish a wireless link between lunar orbit satellites and the lunar lander. This enables satellites to run high-performance autonomous landing algorithms, improving landing accuracy while reducing the lander'…

Magic and communication complexity
Uma Girish, Alex May, Natalie Parham, Henry Yuen
https://arxiv.org/abs/2510.07246 https://arxiv.org/pdf/2510.07246

Magic and communication complexity
We establish novel connections between magic in quantum circuits and communication complexity. In particular, we show that functions computable with low magic have low communication cost. Our first result shows that the $\mathsf{D}\|$ (deterministic simultaneous message passing) cost of a Boolean function $f$ is at most the number of single-qubit magic gates in a quantum circuit computing $f$ with any quantum advice state. If we allow mid-circuit measurements and adaptive circuits, we ob…

EFPIX: A zero-trust encrypted flood protocol
Arin Upadhyay
https://arxiv.org/abs/2509.08248 https://arxiv.org/pdf/2509.08248…

EFPIX: A zero-trust encrypted flood protocol
We propose a flood-based relay communication protocol that achieves end-to-end encryption, plausible deniability for users, and untraceable messages. It is resistant to changes in topology and infrastructure failures. It is also designed to hide metadata, such as sender and receiver, from those not involved.

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions
Yixuan Tang, Yi Yang, Ahmed Abbasi
https://arxiv.org/abs/2509.07370 https://

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions
Recent advancements in Large Language Models (LLMs) demonstrate remarkable capabilities across various fields. These developments have led to more direct communication between humans and LLMs in various situations, such as social companionship and psychological support. However, LLMs often exhibit limitations in emotional perception and social competence during real-world conversations. These limitations partly originate from their inability to adapt their communication style and emotional expr…

Decentralized Local Voltage Control for Active Distribution Networks
Diana Vieira Fernandes, Soummya Kar, Carlos Santos Silva
https://arxiv.org/abs/2509.09048 https://

Decentralized Local Voltage Control for Active Distribution Networks
Distribution networks face challenges from the increasing deployment of Distributed Energy Resources (DERs) and the emergence of bidirectional power flows. We propose a decentralized Volt/VAr control method based on a saddle-point reformulation and consensus+innovation (C+I) updates. Each agent at a controllable bus computes and enforces its own set-points using only neighbor communication. Our method embeds passive buses directly, preserves network physics through a linearized Jacobian model, …

Call for Abstracts for book chapters - Media and Outer Space: Communication, Media Studies and Understanding the Cosmos
https://ift.tt/7a9FPkE
updated: Friday, September 12, 2025 - 10:41amfull name / name of organization: Graham…
via Input 4 RELCFP

Joint Communication Scheduling and Velocity Control for Multi-UAV-Assisted Post-Disaster Monitoring: An Attention-Based In-Context Learning Approach
Yousef Emami, Seyedsina Nabavirazavi, Jingjing Zheng, Hao Zhou, Miguel Gutierrez Gaitan, Kai Li, Luis Almeida
https://arxiv.org/abs/2510.05698

Joint Communication Scheduling and Velocity Control for Multi-UAV-Assisted Post-Disaster Monitoring: An Attention-Based In-Context Learning Approach
Recently, Unmanned Aerial Vehicles (UAVs) are increasingly being investigated to collect sensory data in post-disaster monitoring scenarios, such as tsunamis, where early actions are critical to limit coastal damage. A major challenge is to design the data collection schedules and flight velocities, as unfavorable schedules and velocities can lead to transmission errors and buffer overflows of the ground sensors, ultimately resulting in significant packet loss. Meanwhile, online Deep Reinforcem…

SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding
Feifan Zhang, Yuyang Du, Yifan Xiang, Xiaoyan Liu, Soung Chang Liew
https://arxiv.org/abs/2509.07436

SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding
This paper introduces SA-OOSC, a multimodal large language models (MLLM)-distilled semantic communication framework that achieves efficient semantic coding with scenario-aware importance allocations. This approach addresses a critical limitation of existing object-oriented semantic communication (OOSC) systems - assigning static importance values to specific classes of objects regardless of their contextual relevance. Our framework utilizes MLLMs to identify the scenario-augmented (SA) semantic…

Robust and Efficient Collaborative Learning
Abdellah El Mrini, Sadegh Farhadkhan, Rachid Guerraoui
https://arxiv.org/abs/2510.08311 https://arxiv.org/pdf/2…

Robust and Efficient Collaborative Learning
Collaborative machine learning is challenged by training-time adversarial behaviors. Existing approaches to tolerate such behaviors either rely on a central server or induce high communication costs. We propose Robust Pull-based Epidemic Learning (RPEL), a novel, scalable collaborative approach to ensure robust learning despite adversaries. RPEL does not rely on any central server and, unlike traditional methods, where communication costs grow in $\mathcal{O}(n^2)$ with the number of nodes $n$,…

The Role of Legacy Mobile Networks in Infrastructure Resilience: Evidence from the Southern Brazil Flood
Daniel Meyer, Lisandro Z Granville, Leandro M. Bertholdo
https://arxiv.org/abs/2509.08595

The Role of Legacy Mobile Networks in Infrastructure Resilience: Evidence from the Southern Brazil Flood
This paper investigates the resilience of mobile communication networks during the extreme flooding that affected Rio Grande do Sul, Brazil, in May 2024. Based on regulatory data and technical insights from operators, the study identifies the leading causes of mobile network disruptions, primarily related to flooding and prolonged power outages. The results reveal the significant vulnerability of modern networks (4G/5G) during the event and the essential role played by legacy technologies (2G/3…

Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
Honglan Yu, Yibin Wang, Feifei Dai, Dong Liu, Haihui Fan, Xiaoyan Gu
https://arxiv.org/abs/2509.09091

Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
CPU-based trusted execution environments (TEEs) and differential privacy (DP) have gained wide applications for private inference. Due to high inference latency in TEEs, researchers use partition-based approaches that offload linear model components to GPUs. However, dense nonlinear layers of large language models (LLMs) result in significant communication overhead between TEEs and GPUs. DP-based approaches apply random noise to protect data privacy, but this compromises LLM performance and sem…

SemSteDiff: Generative Diffusion Model-based Coverless Semantic Steganography Communication
Song Gao, Rui Meng, Xiaodong Xu, Haixiao Gao, Yiming Liu, Chenyuan Feng, Ping Zhang, Tony Q. S. Quek, Dusit Niyato
https://arxiv.org/abs/2509.04803

SemSteDiff: Generative Diffusion Model-based Coverless Semantic Steganography Communication
Semantic communication (SemCom), as a novel paradigm for future communication systems, has recently attracted much attention due to its superiority in communication efficiency. However, similar to traditional communication, it also suffers from eavesdropping threats. Intelligent eavesdroppers could launch advanced semantic analysis techniques to infer secret semantic information. Therefore, some researchers have designed Semantic Steganography Communication (SemSteCom) scheme to confuse semanti…

Communication-Optimal Blind Quantum Protocols
Ethan Davies, Alastair Kay
https://arxiv.org/abs/2510.07112 https://arxiv.org/pdf/2510.07112

Communication-Optimal Blind Quantum Protocols
A user, Alice, wants to get server Bob to implement a quantum computation for her. However, she wants to leave him blind to what she's doing. What are the minimal communication resources Alice must use in order to achieve information-theoretic security? In this paper, we consider a single step of the protocol, where Alice conveys to Bob whether or not he should implement a specific gate. We use an entropy-bounding technique to quantify the minimum number of qubits that Alice must send so that B…

Improved Receiver Chain Performance via Error Location Inference
Michael Greenwood, Robert Hunter
https://arxiv.org/abs/2509.08869 https://arxiv.org/pdf/25…

Improved Receiver Chain Performance via Error Location Inference
Modern spacecraft communication systems rely on concatenated error correction schemes, typically combining convolutional and Reed-Solomon (RS) codes. This paper presents a decoder-side method that uses a machine learning model to estimate the likelihood of byte-level corruption in received data frames. These estimates are used to mark erasures prior to RS decoding, enhancing its correction capacity without requiring changes to spacecraft hardware or encoding standards. The approach enables impr…

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

cMPI: Using CXL Memory Sharing for MPI One-Sided and Two-Sided Inter-Node Communications
Xi Wang, Bin Ma, Jongryool Kim, Byungil Koh, Hoshik Kim, Dong Li
https://arxiv.org/abs/2510.05476

cMPI: Using CXL Memory Sharing for MPI One-Sided and Two-Sided Inter-Node Communications
Message Passing Interface (MPI) is a foundational programming model for high-performance computing. MPI libraries traditionally employ network interconnects (e.g., Ethernet and InfiniBand) and network protocols (e.g., TCP and RoCE) with complex software stacks for cross-node communication. We present cMPI, the first work to optimize MPI point-to-point communication (both one-sided and two-sided) using CXL memory sharing on a real CXL platform, transforming cross-node communication into memory t…

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
Arefin Niam, Tevfik Kosar, M S Q Zulkar Nine
https://arxiv.org/abs/2509.05207

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
Graph Neural Networks (GNNs) have become popular across a diverse set of tasks in exploring structural relationships between entities. However, due to the highly connected structure of the datasets, distributed training of GNNs on large-scale graphs poses significant challenges. Traditional sampling-based approaches mitigate the computational loads, yet the communication overhead remains a challenge. This paper presents RapidGNN, a distributed GNN training framework with deterministic sampling-…

Fundamental Quality Bound on Optical Quantum Communication
Tobias Rippchen, Ludovico Lami, Gerardo Adesso, Mario Berta
https://arxiv.org/abs/2510.07121 https://

Fundamental Quality Bound on Optical Quantum Communication
Sending quantum information reliably over long distances is a central challenge in quantum technology in general, and in quantum optics in particular, since most quantum communication relies on optical fibres or free-space links. Here, we address this problem by shifting the focus from the quantity of information sent to the quality of the transmission, i.e. the rate of decay of the transmission error with respect to the number of channel uses. For the general class of teleportation-simulable c…

Medium Access for Multi-Cell ISAC through Scheduling of Radar and Communication Tasks
Jo\~ao Henrique Inacio de Souza, Fabio Saggese, Kun Chen-Hu, Petar Popovski
https://arxiv.org/abs/2510.05821

Medium Access for Multi-Cell ISAC through Scheduling of Radar and Communication Tasks
This paper focuses on communication, radar search, and tracking task scheduling in multi-cell integrated sensing and communication (ISAC) networks under quality of service (QoS) constraints. We propose a medium access control framework multiplexing the tasks while optimizing radar scan patterns through an interference-aware assignment formulation. Simulations show that our solution guarantees target QoS with improved resource efficiency over baseline schemes, highlighting the benefits of coordi…

Toward quantum-safe scalable networks: an open, standards-aware key management framework
Ane Sanz, Asier Atutxa, David Franco, Jasone Astorga, Eduardo Jacob, Diego L\'opez
https://arxiv.org/abs/2509.09453

Toward quantum-safe scalable networks: an open, standards-aware key management framework
With the advent of quantum computing, the increasing threats to security poses a great challenge to communication networks. Recent innovations in this field resulted in promising technologies such as Quantum Key Distribution (QKD), which enables the generation of unconditionally secure keys, establishing secure communications between remote nodes. Additionally, QKD networks enable the interconnection of multinode architectures, extending the point-to-point nature of QKD. However, due to the lim…

Joint Antenna Positioning and Beamforming for Movable Antenna Array Aided Ground Station in Low-Earth Orbit Satellite Communication
Jinming Wang, Lipeng Zhu, Shuai Han, He Sun, Rui Zhang
https://arxiv.org/abs/2509.07511

Joint Antenna Positioning and Beamforming for Movable Antenna Array Aided Ground Station in Low-Earth Orbit Satellite Communication
This paper proposes a new architecture for the low-earth orbit (LEO) satellite ground station aided by movable antenna (MA) array. Unlike conventional fixed-position antenna (FPA), the MA array can flexibly adjust antenna positions to reconfigure array geometry, for more effectively mitigating interference and improving communication performance in ultra-dense LEO satellite networks. To reduce movement overhead, we configure antenna positions at the antenna initialization stage, which remain un…

Enhancing Sum Capacity via Quantum and No-Signaling Cooperation Between Transmitters
Seung-Hyun Nam, Hyun-Young Park, Jiyoung Yun, Ashutosh Rai, Si-Hyeon Lee, Joonwoo Bae
https://arxiv.org/abs/2509.08219

Enhancing Sum Capacity via Quantum and No-Signaling Cooperation Between Transmitters
We consider a communication scenario over a discrete memoryless interference channel or multiple access channel without feedback, where transmitters exploit classical, quantum, or no-signaling cooperation. In this scenario, several previous works have shown that the sum capacities of channels involving pseudo-telepathy games can be enhanced by quantum or no-signaling cooperation. However, a full characterization of which channels admit such an improvement remains open. By focusing on the common…

Interference Mitigation for OFDM-based Integrated Sensing and Communications with Arbitrary Modulation Formats
Felix Artmann, Daniel Gil Gaviria, Benedikt Geiger, Laurent Schmalen
https://arxiv.org/abs/2509.07754

Interference Mitigation for OFDM-based Integrated Sensing and Communications with Arbitrary Modulation Formats
Integrated sensing and communication will be a key feature of future mobile networks, enabling highly efficient systems and numerous new applications by leveraging communication signals for sensing. In this paper, we analyze the impact of arbitrary modulation alphabets on the sensing performance of communication-centric OFDM systems as expected in the next-generation 6G networks. We evaluate existing interference mitigation techniques, such as coherent successive target cancellation, and propos…

TLoRa: Implementing TLS Over LoRa for Secure HTTP Communication in IoT
Atonu Ghosh, Akhilesh Mohanasundaram, Srishivanth R F, Sudip Misra
https://arxiv.org/abs/2510.02519 https:…

TLoRa: Implementing TLS Over LoRa for Secure HTTP Communication in IoT
We present TLoRa, an end-to-end architecture for HTTPS communication over LoRa by integrating TCP tunneling and a complete TLS 1.3 handshake. It enables a seamless and secure communication channel between WiFi-enabled end devices and the Internet over LoRa using an End Hub (EH) and a Net Relay (NR). The EH tethers a WiFi hotspot and a captive portal for user devices to connect and request URLs. The EH forwards the requested URLs to the NR using a secure tunnel over LoRa. The NR, which acts as a…

Fluid Antenna Systems: A Geometric Approach to Error Probability and Fundamental Limits
Xusheng Zhu, Kai-Kit Wong, Hao Xu, Han Xiao, Hanjiang Hong, Hyundong Shin, Yangyang Zhang
https://arxiv.org/abs/2509.08815

Fluid Antenna Systems: A Geometric Approach to Error Probability and Fundamental Limits
The fluid antenna system (FAS) concept is an emerging paradigm that promotes the utilization of the feature of shape and position reconfigurability in antennas to broaden the design of wireless communication systems. This also means that spatial diversity can be exploited in an unconventional way. However, a rigorous framework for error probability analysis of FAS under realistic spatially correlated channels has been lacking. In this paper, we fill this gap by deriving a tight, closed-form asy…

Retrocausal capacity of a quantum channel
Kaiyuan Ji, Seth Lloyd, Mark M. Wilde
https://arxiv.org/abs/2509.08965 https://arxiv.org/pdf/2509.08965

Retrocausal capacity of a quantum channel
We study the capacity of a quantum channel for retrocausal communication, where messages are transmitted backward in time, from a sender in the future to a receiver in the past, through a noisy postselected closed timelike curve (P-CTC) represented by the channel. We completely characterize the one-shot retrocausal quantum and classical capacities of a quantum channel, and we show that the corresponding asymptotic capacities are equal to the average and sum, respectively, of the channel's max-i…

URLLC for 6G Enabled Industry 5.0: A Taxonomy of Architectures, Cross Layer Techniques, and Time Critical Applications
Abdikarim Mohamed Ibrahim, Rosdiadee Nordin, Yahya S. M. Khamayseh, Angela Amphawan, Muhammed Basheer Jasser
https://arxiv.org/abs/2510.08080

URLLC for 6G Enabled Industry 5.0: A Taxonomy of Architectures, Cross Layer Techniques, and Time Critical Applications
The evolution from Industry 4.0 to Industry 5.0 introduces stringent requirements for ultra reliable low latency communication (URLLC) to support human centric, intelligent, and resilient industrial systems. Sixth-generation (6G) wireless networks aim to meet these requirements through sub-millisecond end-to-end delays, microsecond level jitter, and near perfect reliability, enabled by advances such as terahertz (THz) communication, reconfigurable intelligent surfaces (RIS), multi-access edge c…

Channel Charting based Fast Beam Tracking Design and Implementation
Jiawei Zhang, Shihan Wang, Jienan Chen, Fan Wu, Jiyun Tao, Zheqi Gu
https://arxiv.org/abs/2510.08144 https://…

Channel Charting based Fast Beam Tracking Design and Implementation
In the beyond fifth-generation (B5G) and upcoming sixth-generation (6G) wireless communication systems, millimeter (mmWave) wave technology is a promising solution for offering additional bandwidth resources and mitigating spectrum congestion. Beam tracking is an essential procedure for providing reliable communication services in the mmWave communication system, with the challenge of providing consistent and accurate tracking performance. In this study, we introduce a low-overhead beam trackin…

Optimal Real-time Communication in 6G Ultra-Massive V2X Mobile Networks
He Huang, Zilong Liu, Zeping Sui, Wei Huang, Md. Noor-A-Rahim, Haishi Wang, Zhiheng Hu
https://arxiv.org/abs/2510.06937

Optimal Real-time Communication in 6G Ultra-Massive V2X Mobile Networks
This paper introduces a novel cooperative vehicular communication algorithm tailored for future 6G ultra-massive vehicle-to-everything (V2X) networks leveraging integrated space-air-ground communication systems. Specifically, we address the challenge of real-time information exchange among rapidly moving vehicles. We demonstrate the existence of an upper bound on channel capacity given a fixed number of relays, and propose a low-complexity relay selection heuristic algorithm. Simulation results…

Multi-Modal Multi-Task Semantic Communication: A Distributed Information Bottleneck Perspective
Yujie Zhou, Yiwei Liao, Cheng Peng, Yong Xiao, Yingyu Li
https://arxiv.org/abs/2510.04000

Multi-Modal Multi-Task Semantic Communication: A Distributed Information Bottleneck Perspective
Semantic communication (SemCom) shifts the focus from data transmission to meaning delivery, enabling efficient and intelligent communication. Existing AI-based coding schemes for multi-modal multi-task SemCom often require transmitters with full-modal data to participate in all receivers' tasks, which leads to redundant transmissions and conflicts with the physical limits of channel capacity and computational capability. In this paper, we propose PoM$^2$-DIB, a novel framework that extends…

Rate Maximization for UAV-assisted ISAC System with Fluid Antennas
Xingtao Yang, Zhenghe Guo, Siyun Liang, Zhaohui Yang, Chen Zhu, Zhaoyang Zhang
https://arxiv.org/abs/2510.07668

Rate Maximization for UAV-assisted ISAC System with Fluid Antennas
This letter investigates the joint sensing problem between unmanned aerial vehicles (UAV) and base stations (BS) in integrated sensing and communication (ISAC) systems with fluid antennas (FA). In this system, the BS enhances its sensing performance through the UAV's perception system. We aim to maximize the communication rate between the BS and UAV while guaranteeing the joint system's sensing capability. By establishing a communication-sensing model with convex optimization properties, we dec…

Time-Modulated Intelligent Reflecting Surfaces for Integrated Sensing, Communication and Security: A Generative AI Design Framework
Zhihao Tao, Athina Petropulu, H. Vincent Poor
https://arxiv.org/abs/2509.05565

Time-Modulated Intelligent Reflecting Surfaces for Integrated Sensing, Communication and Security: A Generative AI Design Framework
We propose a novel approach to achieve physical layer security for integrated sensing and communication (ISAC) systems operating in the presence of targets that may be eavesdroppers. The system is aided by a time-modulated intelligent reflecting surface (TM-IRS), which is configured to preserve the integrity of the transmitted data at one or more legitimate communication users (CUs) while making them appear scrambled in all other directions. The TM-IRS design leverages a generative flow network…

SREC: Encrypted Semantic Super-Resolution Enhanced Communication
Zhidi Zhang, Rui Meng, Song Gao, Haixiao Gao, Xiaodong Xu
https://arxiv.org/abs/2509.04787 https://

SREC: Encrypted Semantic Super-Resolution Enhanced Communication
Semantic communication (SemCom), as a typical paradigm of deep integration between artificial intelligence (AI) and communication technology, significantly improves communication efficiency and resource utilization efficiency. However, the security issues of SemCom are becoming increasingly prominent. Semantic features transmitted in plaintext over physical channels are easily intercepted by eavesdroppers. To address this issue, this paper proposes Encrypted Semantic Super-Resolution Enhanced C…

Realistic Threat Models for Fiber and Free-Space Continuous-Variable Quantum Key Distribution
Zhiyue Zuo, Masoud Ghalaii, Stefano Pirandola
https://arxiv.org/abs/2510.06971 http…

Realistic Threat Models for Fiber and Free-Space Continuous-Variable Quantum Key Distribution
Future global quantum communication networks, or quantum Internet, will realize high-rate secure communication and entanglement distribution for large-scale users over long distances. Continuous variable (CV) quantum key distribution (QKD) provides a powerful setting for secure quantum communications, thanks to the use of room-temperature off-the-shelf optical devices and the potential to reach high rates. However, the achievable performance of CV-QKD protocols is fundamentally limited by the f…

Experimental demonstration of genuine quantum information transmission through completely depolarizing channels in a superposition of cyclic orders
Yaxin Wang, Linxiang Zhou, Tianfeng Feng, Hanlin Nie, Ying Xia, Tianqi Xiao, Juntao Li, Vlatko Vedral, Xiaoqi Zhou
https://arxiv.org/abs/2510.07127

Experimental demonstration of genuine quantum information transmission through completely depolarizing channels in a superposition of cyclic orders
A major challenge in quantum communication is addressing the negative effects of noise on channel capacity, especially for completely depolarizing channels, where information transmission is inherently impossible. The concept of indefinite causal order provides a promising solution by allowing control over the sequence in which channels are applied. We experimentally demonstrate the activation of quantum communication through completely depolarizing channels using a programmable silicon photoni…

Maritime Communication in Evaporation Duct Environment with Ship Trajectory Optimization
Ruifeng Gao, Hao Zhang, Jue Wang, Ye Li, Yingdong Hu, Qiuming Zhu, Shu Sun, Meixia Tao
https://arxiv.org/abs/2510.06946

Maritime Communication in Evaporation Duct Environment with Ship Trajectory Optimization
In maritime wireless networks, the evaporation duct effect has been known as a preferable condition for long-range transmissions. However, how to effectively utilize the duct effect for efficient communication design is still open for investigation. In this paper, we consider a typical scenario of ship-to-shore data transmission, where a ship collects data from multiple oceanographic buoys, sails from one to another, and transmits the collected data back to a terrestrial base station during its…

Personalized Federated Learning-Driven Beamforming Optimization for Integrated Sensing and Communication Systems
Zhou Ni, Sravan Reddy Chintareddy, Peiyuan Guan, Morteza Hashemi
https://arxiv.org/abs/2510.06709

Personalized Federated Learning-Driven Beamforming Optimization for Integrated Sensing and Communication Systems
In this paper, we propose an Expectation-Maximization-based (EM) Personalized Federated Learning (PFL) framework for multi-objective optimization (MOO) in Integrated Sensing and Communication (ISAC) systems. In contrast to standard federated learning (FL) methods that handle all clients uniformly, the proposed approach enables each base station (BS) to adaptively determine its aggregation weight with the EM algorithm. Specifically, an EM posterior is computed at each BS to quantify the relative…

RIS-Assisted Near-Field ISAC for Multi-Target Indication in NLoS Scenarios
Hang Ruan (Weizmann Institute of Science), Homa Nikbakht (Weizmann Institute of Science, Princeton University), Ruizhi Zhang (Weizmann Institute of Science, University of Electronic Science and Technology of China), Honglei Chen (MathWorks, Inc), Yonina C. Eldar (Weizmann Institute of Science)

RIS-Assisted Near-Field ISAC for Multi-Target Indication in NLoS Scenarios
Enabling multi-target sensing in near-field integrated sensing and communication (ISAC) systems is a key challenge, particularly when line-of-sight paths are blocked. This paper proposes a beamforming framework that leverages a reconfigurable intelligent surface (RIS) to achieve multi-target indication. Our contribution is the extension of classic beampattern gain and inter-target cross-correlation metrics to the near-field, leveraging both angle and distance information to discriminate between…

Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges
Yu Ge, Ossi Kaltiokallio, Elizaveta Rastorgueva-Foi, Musa Furkan Keskin, Hui Chen, Guillaume Jornod, Jukka Talvitie, Mikko Valkama, Frank Hofmann, Henk Wymeersch
https://arxiv.org/abs/2509.07775

Sensing with Mobile Devices through Radio SLAM: Models, Methods, Opportunities, and Challenges
The integration of sensing and communication (ISAC) is a cornerstone of 6G, enabling simultaneous environmental awareness and communication. This paper explores radio SLAM (simultaneous localization and mapping) as a key ISAC approach, using radio signals for mapping and localization. We analyze radio SLAM across different frequency bands, discussing trade-offs in coverage, resolution, and hardware requirements. We also highlight opportunities for integration with sensing, positioning, and coop…

Integrated Sensing, Communication, and Positioning in Cellular Vehicular Networks
Xin Tong, Zhaoyang Zhang, Yuzhi Yang, Yu Ge, Zhaohui Yang, Henk Wymeersch, M\'erouane Debbah
https://arxiv.org/abs/2510.02939

Integrated Sensing, Communication, and Positioning in Cellular Vehicular Networks
In this correspondence, a novel integrated sensing and communication (ISAC) framework is proposed to accomplish data communication, vehicle positioning, and environment sensing simultaneously in a cellular vehicular network. By incorporating the vehicle positioning problem with the existing computational-imaging-based ISAC models, we formulate a special integrated sensing, communication, and positioning problem in which the unknowns are highly coupled. To mitigate the rank deficiency and make i…

A Study of Neural Polar Decoders for Communication
Rom Hirsch, Ziv Aharoni, Henry D. Pfister, Haim H. Permuter
https://arxiv.org/abs/2510.03069 https://arx…

A Study of Neural Polar Decoders for Communication
In this paper, we adapt and analyze Neural Polar Decoders (NPDs) for end-to-end communication systems. While prior work demonstrated the effectiveness of NPDs on synthetic channels, this study extends the NPD to real-world communication systems. The NPD was adapted to complete OFDM and single-carrier communication systems. To satisfy practical system requirements, the NPD is extended to support any code length via rate matching, higher-order modulations, and robustness across diverse channel co…

Effect of nearby Metals on Electro-Quasistatic Human Body Communication
Samyadip Sarkar, Arunashish Datta, David Yang, Mayukh Nath, Shovan Maity, Shreyas Sen
https://arxiv.org/abs/2510.04409

Effect of nearby Metals on Electro-Quasistatic Human Body Communication
In recent decades Human Body Communication has emerged as a promising alternative to traditional radio wave communication, utilizing the body's conductive properties for low-power connectivity among wearables. This method harnesses the human body as an energy-efficient channel for data transmission within the electro-quasistatic frequency range, enabling advancements in human-machine interaction. While prior work has noted the role of parasitic return paths in such capacitively coupled systems,…

KGRAG-SC: Knowledge Graph RAG-Assisted Semantic Communication
Dayu Fan, Rui Meng, Song Gao, Xiaodong Xu
https://arxiv.org/abs/2509.04801 https://arxiv.org/…

KGRAG-SC: Knowledge Graph RAG-Assisted Semantic Communication
The state-of-the-art semantic communication (SC) schemes typically rely on end-to-end deep learning frameworks that lack interpretability and struggle with robust semantic selection and reconstruction under noisy conditions. To address this issue, this paper presents KGRAG-SC, a knowledge graph-assisted SC framework that leverages retrieval-augmented generation principles. KGRAG-SC employs a multi-dimensional knowledge graph, enabling efficient semantic extraction through community-guided entit…

Robust Beamforming for Magnetic Induction Based Underground Emergency Communications
Jianyu Wang, Tianrui Hou, Wenchi Cheng, Hailin Zhang
https://arxiv.org/abs/2510.03852 https:…

Robust Beamforming for Magnetic Induction Based Underground Emergency Communications
Magnetic induction (MI) communication is an effective underground emergency communication technique after disasters such as landslides, mine collapses, and earthquakes, due to its advantages in mediums such as soil, concrete, and metals. Based on channel state information (CSI), magnetic beamforming can significantly improve the performance of MI communication. However, in post-disaster underground communication, channel estimation may suffer from errors due to factors such as complex environme…