Tootfinder

Polarized 6D Movable Antenna for Wireless Communication: Channel Modeling and Optimization
Xiaodan Shao, Qijun Jiang, Derrick Wing Kwan Ng, Naofal Al-Dhahir
https://arxiv.org/abs/2506.04471

Polarized 6D Movable Antenna for Wireless Communication: Channel Modeling and Optimization
In this paper, we propose a novel polarized six-dimensional movable antenna (P-6DMA) to enhance the performance of wireless communication cost-effectively. Specifically, the P-6DMA enables polarforming by adaptively tuning the antenna's polarization electrically as well as controls the antenna's rotation mechanically, thereby exploiting both polarization and spatial diversity to reconfigure wireless channels for improving communication performance. First, we model the P-6DMA channel in terms of…

Organic Crystal Active Waveguide as an All-Angle Signal Receiver and Transmission Platform for Visible Light Communication
Ankur Khapre, Jyotisman Hazarika, Rajadurai Chandrasekar
https://arxiv.org/abs/2506.04874

Organic Crystal Active Waveguide as an All-Angle Signal Receiver and Transmission Platform for Visible Light Communication
Organic crystal waveguides, known for excellent light-guiding and photonic versatility, present a promising alternative to conventional optical media in visible light communication (VLC) systems. In a novel approach, the high photoluminescence quantum yield organic crystal 2,2dash-((1E,1Edash)-hydrazine-1,2-diylidenebis(methaneylylidene))diphenol (SAA) is used as an optical waveguide medium for real-time data communication in the visible range, employing a microcontroller unit with on off keyin…

Spectral Efficiency Maximization for mmWave MIMO-Aided Integrated Sensing and Communication Under Practical Constraints
Jitendra Singh, Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham, Lajos Hanzo
https://arxiv.org/abs/2506.04683

Spectral Efficiency Maximization for mmWave MIMO-Aided Integrated Sensing and Communication Under Practical Constraints
A hybrid transmit precoder (TPC) and receive combiner (RC) pair is conceived for millimeter wave (mmWave) multiple input multiple output (MIMO) integrated sensing and communication (ISAC) systems. The proposed design considers a practical mean squared error (MSE) constraint between the desired and the achieved beampatterns constructed for identifying radar targets (RTs). To achieve optimal performance, we formulate an optimization problem relying on sum spectral efficiency (SE) maximization of …

This https://arxiv.org/abs/2409.03079 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On the backward stability of s-step GMRES
Communication, i.e., data movement, is a critical bottleneck for the performance of classical Krylov subspace method solvers on modern computer architectures. Variants of these methods which avoid communication have been introduced, which, while equivalent in exact arithmetic, can be unstable in finite precision. In this work, we address the backward stability of $s$-step GMRES, also known as communication-avoiding GMRES. Compared to the ``modular framework'' proposed in [A.~Buttari, N.~J.~High…

And in spite of massive amount of money, Microsoft Teams is still the biggest heap of junk I'm required to use by my employer.
I have resorted to using @… for communication with the team...
https://fediscience.org/@Ruth_Mottram/114636321276154824
Ruth_Mottram - The big winnners so far under Trump are
Microsoft, Meta, Netflix, Palantir, Tencent, Broadcom and Philip Morris according to analysis by @financialtimes - In tempted to add Burns' ever relevant epigram: "What a parcel o' rogues in a nation"
Triumphing under Trump: the corporate winners and losers  - https://on.ft.com/43N2RCb

This https://arxiv.org/abs/2505.24266 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

SignBot: Learning Human-to-Humanoid Sign Language Interaction
Sign language is a natural and visual form of language that uses movements and expressions to convey meaning, serving as a crucial means of communication for individuals who are deaf or hard-of-hearing (DHH). However, the number of people proficient in sign language remains limited, highlighting the need for technological advancements to bridge communication gaps and foster interactions with minorities. Based on recent advancements in embodied humanoid robots, we propose SignBot, a novel framew…

Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
Niv Eckhaus, Uri Berger, Gabriel Stanovsky
https://arxiv.org/abs/2506.05309 ht…

Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
LLMs are used predominantly in synchronous communication, where a human user and a model communicate in alternating turns. In contrast, many real-world settings are inherently asynchronous. For example, in group chats, online team meetings, or social games, there is no inherent notion of turns; therefore, the decision of when to speak forms a crucial part of the participant's decision making. In this work, we develop an adaptive asynchronous LLM-agent which, in addition to determining what to s…

tech nerdery
I mean this: if every receiver just connected to its source when it was ready, and we hadn't made short-timeout stateful firewalls everywhere, we'd have to deploy SO MANY fewer weird one-off services just to receive something.
Instead we have to provision certificates and public facing hostnames to get communication going. Backend development is so much more complex and less robust because of it.

With the advent of ELIZA, Joseph Weizenbaum's first psychotherapist chatbot, NLP took another major step with pattern-based substitution algorithms based on simple regular expressions.
Weizenbaum, Joseph (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Com. of the ACM. 9: 36–45.

This https://arxiv.org/abs/2505.17836 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
This paper addresses the problem of robust estimation in gossip algorithms over arbitrary communication graphs. Gossip algorithms are fully decentralized, relying only on local neighbor-to-neighbor communication, making them well-suited for situations where communication is constrained. A fundamental challenge in existing mean-based gossip algorithms is their vulnerability to malicious or corrupted nodes. In this paper, we show that an outlier-robust mean can be computed by globally estimating …

Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey
Zhiying Song, Tenghui Xie, Fuxi Wen, Jun Li
https://arxiv.org/abs/2505.00747

Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey
Cooperative perception extends the perception capabilities of autonomous vehicles by enabling multi-agent information sharing via Vehicle-to-Everything (V2X) communication. Unlike traditional onboard sensors, V2X acts as a dynamic "information sensor" characterized by limited communication, heterogeneity, mobility, and scalability. This survey provides a comprehensive review of recent advancements from the perspective of information-centric cooperative perception, focusing on three key dimensio…

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
https://arxiv.org/abs/2506.02001

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
To address data locality and privacy restrictions, Federated Learning (FL) has recently been adopted to fine-tune large language models (LLMs), enabling improved performance on various downstream tasks without requiring aggregated data. However, the repeated exchange of model updates in FL can result in prohibitively high communication costs, hindering the distributed learning process. To address this challenge, we propose EcoLoRA, a novel communication-efficient federated fine-tuning framework…

Distributionally Robust Wireless Semantic Communication with Large AI Models
Long Tan Le, Senura Hansaja Wanasekara, Zerun Niu, Yansong Shi, Nguyen H. Tran, Phuong Vo, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong, H. Vincent Poor
https://arxiv.org/abs/2506.03167

Distributionally Robust Wireless Semantic Communication with Large AI Models
6G wireless systems are expected to support massive volumes of data with ultra-low latency. However, conventional bit-level transmission strategies cannot support the efficiency and adaptability required by modern, data-intensive applications. The concept of semantic communication (SemCom) addresses this limitation by focusing on transmitting task-relevant semantic information instead of raw data. While recent efforts incorporating deep learning and large-scale AI models have improved SemCom's …

lkml_reply: Linux kernel reply network
A network of replies among email address found on the Linux kernel mailing list. Nodes are email addresses and each directed edge represents a reply from email address i to email address j. The date of this snapshot is uncertain.
This network has 63399 nodes and 1096440 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Can we reconstruct a dysarthric voice with the large speech model Parler TTS?
Ariadna Sanchez, Simon King
https://arxiv.org/abs/2506.04397 https://

Can we reconstruct a dysarthric voice with the large speech model Parler TTS?
Speech disorders can make communication hard or even impossible for those who develop them. Personalised Text-to-Speech is an attractive option as a communication aid. We attempt voice reconstruction using a large speech model, with which we generate an approximation of a dysarthric speaker's voice prior to the onset of their condition. In particular, we investigate whether a state-of-the-art large speech model, Parler TTS, can generate intelligible speech while maintaining speaker identity. We…

For all the German speakers in my network: my research on spatial layouts and communication has been featured in a lovely and detailed article in the weekly German newspaper Die Zeit discussing the manifold relations between architecture and social outcomes, ranging from political coalition negotiations to the mutiny on the Bounty, from team meetings in offices to places for living

Architektur: Wie Architekten Gespräche lenken – und Macht verteilen
Gute Architektur verbindet Menschen, schlechte trennt sie. Wer die Gesetze des Bauens kennt, kann Politiker zusammenbringen – und sogar den Lauf der Geschichte verändern.

Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
Yilong Song, Peijin Li, Bin Gao, Kun Yuan
https://arxiv.org/abs/2506.02879

Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
Optimization problems on the Stiefel manifold, ranging from principal component analysis to enhancing neural network robustness, are ubiquitous in machine learning. The Landing algorithm avoids computationally expensive retraction operations on manifolds, making it highly competitive for large-scale problems. This paper extends this method to distributed settings, introducing *EF-Landing*, the first retraction-free and communication-efficient algorithm for distributed stochastic optimization on…

How the Bochum dish lost the signal from #Resilience at 19:15:33 UTC which would be 1 to 2 minutes before the nominal landing time. It never came back - while on the webcast, which just aborted, they didn't say *anything* and refer to a news briefing in a few hours. Same crisis (non-)communication as two years ago, I'm afraid ...

Model Splitting Enhanced Communication-Efficient Federated Learning for CSI Feedback
Yanjie Dong, Haijun Zhang, Gaojie Chen, Xiaoyi Fan, Victor C. M. Leung, Xiping Hu
https://arxiv.org/abs/2506.04113

Model Splitting Enhanced Communication-Efficient Federated Learning for CSI Feedback
Recent advancements have introduced federated machine learning-based channel state information (CSI) compression before the user equipments (UEs) upload the downlink CSI to the base transceiver station (BTS). However, most existing algorithms impose a high communication overhead due to frequent parameter exchanges between UEs and BTS. In this work, we propose a model splitting approach with a shared model at the BTS and multiple local models at the UEs to reduce communication overhead. Moreover…

Viele Menschen verstehen #Warnungen wie „#Hitzeindex“ oder „#Hitzewarnung“ falsch. Das zeigt eine US-Studie.
Fast die Hälfte hält den Hitzeindex für die reine

Bridging the Gap between National Weather Service Heat Terminology and Public Understanding
Abstract Clearly communicating heat warning information to the public is an important way to reduce heat mortality and morbidity. However, heat communication interventions from the National Weather Service commonly include technical and scientific terms, otherwise known as jargon. These terms, such as heat advisory or heat index, may not be understood by the public. Given the importance of message understanding in protective action decision-making, the purpose of this study is to assess how the…

This https://arxiv.org/abs/2505.22266 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

FGS-Audio: Fixed-Decoder Framework for Audio Steganography with Adversarial Perturbation Generation
The rapid development of Artificial Intelligence Generated Content (AIGC) has made high-fidelity generated audio widely available across the Internet, offering an abundant and versatile source of cover signals for covert communication. Driven by advances in deep learning, current audio steganography frameworks are mainly based on encoding-decoding network architectures. While these methods greatly improve the security of audio steganography, they typically employ elaborate training workflows an…

This https://arxiv.org/abs/2502.14847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Red-Teaming LLM Multi-Agent Systems via Communication Attacks
Large Language Model-based Multi-Agent Systems (LLM-MAS) have revolutionized complex problem-solving capability by enabling sophisticated agent collaboration through message-based communications. While the communication framework is crucial for agent coordination, it also introduces a critical yet unexplored security vulnerability. In this work, we introduce Agent-in-the-Middle (AiTM), a novel attack that exploits the fundamental communication mechanisms in LLM-MAS by intercepting and manipulat…

Spatially Correlated multi-RIS Communication: The Effect of Inter-Operator Interference
Nikolaos I. Miridakis, Panagiotis A. Karkazis
https://arxiv.org/abs/2506.02666

Spatially Correlated multi-RIS Communication: The Effect of Inter-Operator Interference
A multi-operator wireless communication system is studied where each operator is equipped with a reconfigurable intelligent surface (RIS) to enhance its communication quality. RISs controlled by different operators affect the system performance of one another due to the inherently rapid phase shift adjustments that occur on an independent basis. The system performance of such a communication scenario is analytically studied for the practical case where spatial correlation occurs at RIS of arbit…

This framing of long COVID is uh chilling. Not masking in public sure seems dumb.
https://thesicktimes.org/2025/05/06/long-covid-mode-seeing-the-crisis-through-games/

This https://arxiv.org/abs/2411.07077 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A stable one-synchronization variant of reorthogonalized block classical Gram--Schmidt
The block classical Gram--Schmidt (BCGS) algorithm and its reorthogonalized variant are widely-used methods for computing the economic QR factorization of block columns $X$ due to their lower communication cost compared to other approaches such as modified Gram--Schmidt and Householder QR. To further reduce communication, i.e., synchronization, there has been a long ongoing search for a variant of reorthogonalized BCGS variant that achieves $O(u)$ loss of orthogonality while requiring only \emp…

Automated Polarization Basis Adjustment and Security Monitoring in Quantum Communication via Coincidence Entropies
Tom\'a\v{s} Nov\'ak, Carlos Guerra-Y\'anez, Mat\v{e}j Holubi\v{c}ka, Josef Vojt\v{e}ch, Josef Bla\v{z}ej
https://arxiv.org/abs/2505.24071

Automated Polarization Basis Adjustment and Security Monitoring in Quantum Communication via Coincidence Entropies
Polarization-sensitive receivers for single photons are of crucial importance in various applications within the fields of quantum communication and quantum sensing, and are more commonly implemented in free-space optics rather than in optical fibers. This is primarily due to the unpredictable and varying birefringence in single-mode optical fibers. We present a method for birefringence compensation in an all-fiber detection setup that relies solely on coincidence measurements of a polarization…

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau, Jae-Yun Jun, Fa\"iz Benamar, Nicolas Bredeche
https://arxiv.org/abs/2506.05236

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
Communication is a fundamental aspect of coordinated behavior in multi-agent reinforcement learning. Yet, most prior works in this field have focused on emergent communication protocols developed from scratch, often resulting in inefficient or non-interpretable systems. Inspired by the role of language in natural intelligence, we investigate how grounding agents in a human-defined language can improve learning and coordination of multiple embodied agents. We propose a framework in which agents …

This https://arxiv.org/abs/2505.17433 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
Memes have emerged as a popular form of multimodal online communication, where their interpretation heavily depends on the specific context in which they appear. Current approaches predominantly focus on isolated meme analysis, either for harmful content detection or standalone interpretation, overlooking a fundamental challenge: the same meme can express different intents depending on its conversational context. This oversight creates an evaluation gap: although humans intuitively recognize ho…

This https://arxiv.org/abs/2504.02628 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Towards Computation- and Communication-efficient Computational Pathology
Despite the impressive performance across a wide range of applications, current computational pathology models face significant diagnostic efficiency challenges due to their reliance on high-magnification whole-slide image analysis. This limitation severely compromises their clinical utility, especially in time-sensitive diagnostic scenarios and situations requiring efficient data transfer. To address these issues, we present a novel computation- and communication-efficient framework called Mag…

Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles
Keshawn Smith, Zhili Zhang, H M Sabbir Ahmad, Ehsan Sabouni, Maniak Mondal, Song Han, Wenchao Li, Fei Miao
https://arxiv.org/abs/2506.00982

Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles
Deep multi-agent reinforcement learning (MARL) has been demonstrated effectively in simulations for many multi-robot problems. For autonomous vehicles, the development of vehicle-to-vehicle (V2V) communication technologies provide opportunities to further enhance safety of the system. However, zero-shot transfer of simulator-trained MARL policies to hardware dynamic systems remains challenging, and how to leverage communication and shared information for MARL has limited demonstrations on hardw…

This https://arxiv.org/abs/2504.04005 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

Learning Cache Coherence Traffic for NoC Routing Design
The rapid growth of multi-core systems highlights the need for efficient Network-on-Chip (NoC) design to ensure seamless communication. Cache coherence, essential for data consistency, substantially reduces task computation time by enabling data sharing among caches. As a result, routing serves two roles: facilitating data sharing (influenced by topology) and managing NoC-level communication. However, cache coherence is often overlooked in routing, causing mismatches between design expectations…

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

A Reference Architecture for Gamified Cultural Heritage Applications Leveraging Generative AI and Augmented Reality
Federico Martusciello, Henry Muccini, Antonio Bucchiarone
https://arxiv.org/abs/2506.04090

A Reference Architecture for Gamified Cultural Heritage Applications Leveraging Generative AI and Augmented Reality
The rapid advancement of Information and Communication Technologies is transforming Cultural Heritage access, experience, and preservation. However, many digital heritage applications lack interactivity, personalization, and adaptability, limiting user engagement and educational impact. This short paper presents a reference architecture for gamified cultural heritage applications leveraging generative AI and augmented reality. Gamification enhances motivation, artificial intelligence enables ad…

Experimental Covert Communication Using Software-Defined Radio
Rohan Bali, Trevor E. Bailey, Michael S. Bullock, Boulat A. Bash
https://arxiv.org/abs/2506.02297

Experimental Covert Communication Using Software-Defined Radio
The fundamental information-theoretic limits of covert, or low probability of detection (LPD), communication have been extensively studied for over a decade, resulting in the square root law (SRL): only $L\sqrt{n}$ covert bits can be reliably transmitted over time-bandwidth product $n$, for constant $L>0$. Transmitting more either results in detection or decoding errors. The SRL imposes significant constraints on hardware realization of provably-secure covert communication. Thus, experimental v…

manchmal findet sich auch in sprachwissenschaftlichen werken was zu #openaccess:
https://doi.org/10.1515/9783110672633-036 [aber leider in closed access –

The neurological basis for non-visual illustration https://intellectdiscover.com/content/journals/10.1386/jill_00117_7 "this article poses the question of whether there is a theoretical precedent for creating visual imagery in the minds of blind peopl…

Distributed system perspective on Backscatter systems
Jincheng Guan, Jun Zhang
https://arxiv.org/abs/2506.04833 https://arxiv.org/pdf…

Distributed system perspective on Backscatter systems
Backscatter system is a system based on backscatter communication technology, which is a low cost, low power consumption and easy to deploy communication technology. At present, the backscatter technology is mainly applied to RFID tags and the Internet of Things and other fields. With the rapid development of the Internet of Things, the application of backscatter systems is increasing. Moreover, the backscatter system is essentially a distributed system, but existing research rarely conducts st…

Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue
https://arxiv.org/abs/2506.04626

Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Motivated by real-world settings where data collection and policy deployment -- whether for a single agent or across multiple agents -- are costly, we study the problem of on-policy single-agent reinforcement learning (RL) and federated RL (FRL) with a focus on minimizing burn-in costs (the sample sizes needed to reach near-optimal regret) and policy switching or communication costs. In parallel finite-horizon episodic Markov Decision Processes (MDPs) with $S$ states and $A$ actions, existing m…

This https://arxiv.org/abs/2506.01982 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Music interpretation and emotion perception: A computational and neurophysiological investigation
This study investigates emotional expression and perception in music performance using computational and neurophysiological methods. The influence of different performance settings, such as repertoire, diatonic modal etudes, and improvisation, as well as levels of expressiveness, on performers' emotional communication and listeners' reactions is explored. Professional musicians performed various tasks, and emotional annotations were provided by both performers and the audience. Audio analysis r…

Interference-Aware Multiuser Hybrid Precoding for Coexistence with LEO Satellite Communication
Nima Razavi, Murat Bayraktar, Nuria Gonzalez Prelcic, Robert W. Heath Jr
https://arxiv.org/abs/2506.03438

Interference-Aware Multiuser Hybrid Precoding for Coexistence with LEO Satellite Communication
Interference from terrestrial networks can reduce the communication rate for low Earth orbit (LEO) satellites in the upper mid-band. To coexist in frequency, MIMO precoding can be used to reduce the signal that impinges on the LEO satellite. We present a beamforming algorithm designed for the hybrid architecture that incorporates a satellite interference penalty while optimizing the analog and digital precoders. Our algorithm optimizes the precoding at the base station (BS) within the set of pr…

Researchers found that both #Meta snd #Yandex link(ed) IDs between browsers and their native apps by local communication on #Android devices.
E.g. the

🏊‍♂️ Still no pool. Still chasing contractors.
One no-show after another, with zero communication. I get delays. What I don't get is being ghosted.
Third contractor showed promise. Local, knowledgeable, communicative. Now it’s a rain game.
Also: my desktop crashed mid-post. Overheating CPU drama. 3 years of weekly blog posts. Consecutive. No breaks.
Full update here −

Tooting My Own Horn: Three Years And Counting – Bob Mueller
I extended my weekly posting streak to three years this week. Still don't have the pool up. And I wonder about conspiracy theories.

I have contributed a public statement in the currently open consultation on EU data retention plans: https://www.mayrhofer.eu.org/post/on-mass-data-retention/
You might want to do so as well.

On data retention laws: Why this is (still) not a good balance between mass surveillance and law enforcement | René Mayrhofer
The latest effort to legalize mass data retention of communication traffic metadata is still problematic. I try to make my most pressing argument why the balance between preventing harm and causing potential harm is not met.

The Journal of #Librarianship and #ScholarlyCommunication (JLSC) is opening a call for applications for openings in three editorial tracks.

JLSC Call for Applications
The Journal of Librarianship and Scholarly Communication (JLSC) is opening a call for applications for openings in three editorial tracks due to the conclusion of regular terms as well as …

Researchers in France are working on creating a French network of researchers to organize interaction, communication and training in #computationalneuroscience
If you are a CompNeuro working in France, consider joining, and registering to our mailing list:

Central Bank Communication with Public: Bank of England and Twitter (X)
Fatih Kansoy, Joel Mundy
https://arxiv.org/abs/2506.02559 https://

Central Bank Communication with Public: Bank of England and Twitter (X)
Central banks increasingly use social media to communicate beyond financial markets, yet evidence on public engagement effectiveness remains limited. Despite 113 central banks joining Twitter between 2008 and 2018, we lack understanding of what drives audience interaction with their content. To examine engagement determinants, we analyzed 3.13 million tweets mentioning the Bank of England from 2007 to 2022, including 9,810 official posts. We investigate posting patterns, measure engagement elas…

Accuracy and scalability of asynchronous compressible flow solver for transitional flows
Aswin Kumar Arumugam, Shubham Kumar Goswami, Nagabhushana Rao Vadlamani, Konduri Aditya
https://arxiv.org/abs/2506.03027

Accuracy and scalability of asynchronous compressible flow solver for transitional flows
To overcome the communication bottlenecks observed in state-of-the-art parallel time-dependent flow solvers at extreme scales, an asynchronous computing approach that relaxes communication and synchronization at a mathematical level was previously developed. This approach preserves high-order accuracy of computations near processing element boundaries using asynchrony-tolerant (AT) schemes while significantly improving the scalability. The numerical properties of the AT schemes were studied bas…

China’s quantum satellite can be hacked, Singapore-based scientist warns
https://www.scmp.com/news/china/science/article/3312399/chinas-quantum-satellite-can-be-hacked-sing…

China’s quantum satellite can be hacked, Singapore-based scientist warns
Hackers could intercept coded messages sent by lasers on China’s quantum communication network, research suggests.

This https://arxiv.org/abs/2506.01921 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

MedEBench: Revisiting Text-instructed Image Editing
Text-guided image editing has seen rapid progress in natural image domains, but its adaptation to medical imaging remains limited and lacks standardized evaluation. Clinically, such editing holds promise for simulating surgical outcomes, creating personalized teaching materials, and enhancing patient communication. To bridge this gap, we introduce \textbf{MedEBench}, a comprehensive benchmark for evaluating text-guided medical image editing. It consists of 1,182 clinically sourced image-prompt …

This https://arxiv.org/abs/2505.00849 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

TherMod Communication: Low Power or Hot Air?
The Kirchhoff-Law-Johnson-Noise (KLJN) secure key exchange scheme leverages statistical physics to enable secure communication with zero average power flow in a wired channel. While the original KLJN scheme requires significant power for operation, a recent wireless modification, TherMod, proposed by Basar claims a "low power" implementation. This paper critically examines this claim. We explain that the additional components inherent in Basar's wireless adaptation substantially increase power …

Fragment from an email to the editor of a special issue on scholarly communication: “All of this would be vaguely review-ish.”

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

This https://arxiv.org/abs/2504.12423 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios
Existing Audio Deepfake Detection (ADD) systems often struggle to generalise effectively due to the significantly degraded audio quality caused by audio codec compression and channel transmission effects in real-world communication scenarios. To address this challenge, we developed a rigorous benchmark to evaluate the performance of the ADD system under such scenarios. We introduced ADD-C, a new test dataset to evaluate the robustness of ADD systems under diverse communication conditions, inclu…

Identification of RIS-Assisted Paths for Wireless Integrated Sensing and Communication
Zeyu Huang, Stefan Schwarz, Bashar Tahir, Markus Rupp
https://arxiv.org/abs/2506.04123

Identification of RIS-Assisted Paths for Wireless Integrated Sensing and Communication
Distinguishing between reconfigurable intelligent surface (RIS) assisted paths and non-line-of-sight (NLOS) paths is a fundamental problem for RIS-assisted integrated sensing and communication. In this work, we propose a pattern alternation scheme for the RIS response that uses part of the RIS as a dynamic part to modulate the estimated channel power, which can considerably help the user equipments (UEs) to identify the RIS-assisted paths. Under such a dynamic setup, we formulate the detection …

This https://arxiv.org/abs/2506.01135 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, existing systems face significant motion-to-motion (M2M) latency--the delay between the user's latest motion and the corresponding robot feedback--leading to high teleoperation error and mission completion time. This issue stems from the system's exclusive reliance on network communication, making it highly vulnerable to …

Iterative Neural Rollback Chase-Pyndiah Decoding
Dmitry Artemasov, Oleg Nesterenkov, Kirill Andreev, Pavel Rybin, Alexey Frolov
https://arxiv.org/abs/2506.04839

Iterative Neural Rollback Chase-Pyndiah Decoding
Iterative decoding is essential in modern communication systems, especially optical communications, where error-correcting codes such as turbo product codes (TPC) and staircase codes are widely employed. A key factor in achieving high error correction performance is the use of soft-decision decoding for component codes. However, implementing optimal maximum a posteriori (MAP) probability decoding for commonly used component codes, such as BCH and Polar codes, is computationally prohibitive. Ins…

A distributed system perspective on Backscatter systems: A review
Tonghuan Xiao, Jiecheng Zhou
https://arxiv.org/abs/2506.04873 https://

A distributed system perspective on Backscatter systems: A review
This review investigates the pivotal role of distributed architectures and intelligent resource allocation in enabling robust and scalable wireless systems, with a particular emphasis on backscatter communication, indoor localization, battery-free networks, and Simultaneous Wireless Information and Power Transfer (SWIPT).

Distributed gradient methods under heavy-tailed communication noise
Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
https://arxiv.org/abs/2505.24464

Distributed gradient methods under heavy-tailed communication noise
We consider a standard distributed optimization problem in which networked nodes collaboratively minimize the sum of their locally known convex costs. For this setting, we address for the first time the fundamental problem of design and analysis of distributed methods to solve the above problem when inter-node communication is subject to \emph{heavy-tailed} noise. Heavy-tailed noise is highly relevant and frequently arises in densely deployed wireless sensor and Internet of Things (IoT) network…

Analyzing Contact Patterns in Public Transportation Systems for Opportunistic Communication Services
Eduardo R. Manika, Emilio C. G. Wille, Joilson Alves Jr
https://arxiv.org/abs/2506.02217

Analyzing Contact Patterns in Public Transportation Systems for Opportunistic Communication Services
Vehicle mobility has a significant impact on wireless communication between vehicles (buses) in Public Transportation Systems (PTS). Nevertheless, the transportation literature does not provide satisfactory models for bus movements because they are influenced by a variety of factors (itineraries, timetables, etc.). Custom-made mobility models that take these issues into account require a great deal of effort and may render simulations unfeasible. This article considers a tool (EMMS) that automa…

Optimization for Semantic-Aware Resource Allocation under CPT-based Utilities
Symeon Vaidanis, Photios A. Stavrou, Marios Kountouris
https://arxiv.org/abs/2506.04952

Optimization for Semantic-Aware Resource Allocation under CPT-based Utilities
The problem of resource allocation in goal-oriented semantic communication with semantic-aware utilities and subjective risk perception is studied here. By linking information importance to risk aversion, we model agent behavior using Cumulative Prospect Theory (CPT), which incorporates risk-sensitive utility functions and nonlinear transformations of distributions, reflecting subjective perceptions of gains and losses. The objective is to maximize the aggregate utility across multiple CPT-mode…

Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs)
Xihan Xiong, Zhipeng Wang, Qin Wang, Endong Liu, Pascal Berrang, William Knottenbelt
https://arxiv.org/abs/2505.24724

Talking Transactions: Decentralized Communication through Ethereum Input Data Messages (IDMs)
Can you imagine, blockchain transactions can talk! In this paper, we study how they talk and what they talk about. We focus on the input data field of Ethereum transactions, which is designed to allow external callers to interact with smart contracts. In practice, this field also enables users to embed natural language messages into transactions. Users can leverage these Input Data Messages (IDMs) for peer-to-peer communication. This means that, beyond Ethereum's well-known role as a financial …

This https://arxiv.org/abs/2504.19442 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler
In this report, we propose Triton-distributed, an extension of existing Triton compiler, to overcome the programming challenges in distributed AI systems. Triton-distributed is the first compiler that supports native overlapping optimizations for distributed AI workloads, providing a good coverage of existing optimizations from different frameworks. First, we integrate communication primitives compliant with the OpenSHMEM standard into the compiler. This enables programmers to utilize these pri…

Energy-Efficient Integrated Communication and Computation via Non-Terrestrial Networks with Uncertainty Awareness
Xiao Tang, Yudan Jiang, Ruonan Zhang, Qinghe Du, Jinxin Liu, Naijin Liu
https://arxiv.org/abs/2506.01243

Energy-Efficient Integrated Communication and Computation via Non-Terrestrial Networks with Uncertainty Awareness
Non-terrestrial network (NTN)-based integrated communication and computation empowers various emerging applications with global coverage. Yet this vision is severely challenged by the energy issue given the limited energy supply of NTN nodes and the energy-consuming nature of communication and computation. In this paper, we investigate the energy-efficient integrated communication and computation for the ground node data through a NTN, incorporating an unmanned aerial vehicle (UAV) and a satell…

This https://arxiv.org/abs/2505.17836 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
This paper addresses the problem of robust estimation in gossip algorithms over arbitrary communication graphs. Gossip algorithms are fully decentralized, relying only on local neighbor-to-neighbor communication, making them well-suited for situations where communication is constrained. A fundamental challenge in existing mean-based gossip algorithms is their vulnerability to malicious or corrupted nodes. In this paper, we show that an outlier-robust mean can be computed by globally estimating …

Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM
Shumin Lian, Jingwen Tong, Jun Zhang, Liqun Fu
https://arxiv.org/abs/2506.04594

Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM
WiFi networks have achieved remarkable success in enabling seamless communication and data exchange worldwide. The IEEE 802.11be standard, known as WiFi 7, introduces Multi-Link Operation (MLO), a groundbreaking feature that enables devices to establish multiple simultaneous connections across different bands and channels. While MLO promises substantial improvements in network throughput and latency reduction, it presents significant challenges in channel allocation, particularly in dense netwo…

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
Yinchao Yang, Zhaohui Yang, Chongwen Huang, Wei Xu, Zhaoyang Zhang, Dusit Niyato, Mohammad Shikh-Bahaei
https://arxiv.org/abs/2506.00522

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
This paper introduces a novel framework for integrated sensing, computing, and semantic communication (ISCSC) within vehicular networks comprising a roadside unit (RSU) and multiple autonomous vehicles. Both the RSU and the vehicles are equipped with local knowledge bases to facilitate semantic communication. The framework incorporates a secure communication design to ensure that messages intended for specific vehicles are protected against interception. In this model, an extended Kalman filter…

This https://arxiv.org/abs/2504.20618 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Statistical Channel Based Low-Complexity Rotation and Position Optimization for 6D Movable Antennas Enabled Wireless Communication
Six-dimensional movable antenna (6DMA) is a promising technology to fully exploit spatial variation in wireless channels by allowing flexible adjustment of three-dimensional (3D) positions and rotations of antennas at the transceiver. In this paper, we investigate the practical low-complexity design of 6DMA-enabled communication systems, including transmission protocol, statistical channel information (SCI) acquisition, and joint position and rotation optimization of 6DMA surfaces based on the …

This https://arxiv.org/abs/2505.08070 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization
In this paper, we propose a novel polarforming antenna (PA) to achieve cost-effective wireless sensing and communication. Specifically, the PA can enable polarforming to adaptively control the antenna's polarization electrically as well as tune its position/rotation mechanically, so as to effectively exploit polarization and spatial diversity to reconfigure wireless channels for improving sensing and communication performance. We study an PA-enhanced integrated sensing and communication (ISAC) …

This https://arxiv.org/abs/2204.07330 has been replaced.
link: https://scholar.google.com/scholar?q=a

Differentially Private Distributed Mismatch Tracking Algorithm for Constraint-Coupled Resource Allocation Problems
This paper considers privacy-concerned distributed constraint-coupled resource allocation problems over an undirected network, where each agent holds a private cost function and obtains the solution via only local communication. With privacy concerns, we mask the exchanged information with independent Laplace noise against a potential attacker with potential access to all network communications. We propose a differentially private distributed mismatch tracking algorithm (diff-DMAC) to achieve c…

This https://arxiv.org/abs/2501.18878 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Integrated Sensing and Communication System Based on Radio Frequency Resonance Beam
To address the complex beam control in traditional multiple-input multiple-output (MIMO) systems, researchers have proposed adaptive beam alignment using retro-directive antenna (RDA) arrays. This approach creates echo resonance between the base station (BS) and user equipment (UE), significantly reducing computational load. However, conventional resonant beam systems (RBS) suffer from echo interference due to the shared uplink and downlink frequency. Therefore, this paper proposes an innovativ…

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
Gabriele Digregorio, Elisabetta Cainazzo, Stefano Longari, Michele Carminati, Stefano Zanero
https://arxiv.org/abs/2506.04978

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
The challenges derived from the data-intensive nature of machine learning in conjunction with technologies that enable novel paradigms such as V2X and the potential offered by 5G communication, allow and justify the deployment of Federated Learning (FL) solutions in the vehicular intrusion detection domain. In this paper, we investigate the effects of integrating FL strategies into the machine learning-based intrusion detection process for on-board vehicular networks. Accordingly, we propose a …

This https://arxiv.org/abs/2404.19564 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Time, Travel, and Energy in the Uniform Dispersion Problem
We investigate the algorithmic problem of uniformly dispersing a swarm of robots in an unknown, gridlike environment. In this setting, our goal is to study the relationships between performance metrics and robot capabilities. We introduce a formal model comparing dispersion algorithms based on makespan, traveled distance, energy consumption, sensing, communication, and memory. Using this framework, we classify uniform dispersion algorithms according to their capability requirements and performa…

This https://arxiv.org/abs/2410.07984 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Large Deviation Analysis for the Reverse Shannon Theorem
Channel simulation is to simulate a noisy channel using noiseless channels with unlimited shared randomness. This can be interpreted as the reverse problem to Shannon's noisy coding theorem. In contrast to previous works, our approach employs Rényi divergence (with the parameter $α\in(0,\infty)$) to measure the level of approximation. Specifically, we obtain the reverse Shannon theorem under the Rényi divergence, which characterizes the Rényi simulation rate, the minimum communication cost …

Unified Interference-Aware Water-Filling for QoS-Constrained Communication, Sensing, and JRC
Ahmed Naeem, Anastassia Gharib, H\"useyin Arslan
https://arxiv.org/abs/2506.01400

Unified Interference-Aware Water-Filling for QoS-Constrained Communication, Sensing, and JRC
Water-filling (WF) algorithms are pivotal in maximizing capacity and spectral efficiency in multiple-input and multiple-output (MIMO) systems. However, traditional WF approaches cater solely to communication requirements, neglecting the emerging heterogeneity of 6G, including sensing and joint radar-communication (JRC). As these diverse demands grow in importance and have different Quality of Service (QoS) constraints, traditional WF becomes inadequate. Therefore, in this paper, we propose a un…

Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters
Elvis Rodrigues, Jacob Goldverg, Tevfik Kosar
https://arxiv.org/abs/2506.04117 http…

Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters
Inter-datacenter communication is a significant part of cloud operations and produces a substantial amount of carbon emissions for cloud data centers, where the environmental impact has already been a pressing issue. In this paper, we present a novel carbon-aware temporal data transfer scheduling framework, called LinTS, which promises to significantly reduce the carbon emission of data transfers between cloud data centers. LinTS produces a competitive transfer schedule and makes scaling decisi…

as_skitter: Skitter IP graph (2005)
An aggregate snapshot of the Internet Protocol (IP) graph, as measured by the traceroute tool on CAIDA's skitter infrastructure, in 2005.
This network has 1696415 nodes and 11095298 edges.
Tags: Technological, Communication, Unweighted
https://networks.skewed.de/net/as_s…

This https://arxiv.org/abs/2409.18745 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A study on the effects of mixed explicit and implicit communications in human-virtual-agent interactions
Communication between humans and robots (or virtual agents) is essential for interaction and often inspired by human communication, which uses gestures, facial expressions, gaze direction, and other explicit and implicit means. This work presents an interaction experiment where humans and virtual agents interact through explicit (gestures, manual entries using mouse and keyboard, voice, sound, and information on screen) and implicit (gaze direction, location, facial expressions, and raise of ey…

Development of Hardware-in-Loop Framework for Satellite Communication Self-Healing Networks
Sambrama, Venkata Srirama Rohit Kantheti, Liang C Chu, Erik Blasch, Shih-Chun Lin
https://arxiv.org/abs/2506.01210

Development of Hardware-in-Loop Framework for Satellite Communication Self-Healing Networks
The use of Low Earth Orbit (LEO) satellites in the next generation (Next-G) communication systems has been gaining traction over the last few years due to their potential for providing global connectivity with low latency. Since they are the closest to the earth they come with their own set of disadvantages including high vulnerability to jamming and interference. To address these issues, this paper introduces a resilient, self-healing network designed to optimize signal quality under dynamic i…

This https://arxiv.org/abs/2506.01202 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

DFRC Systems Co-existing in Licensed Spectrum: Cognitive Beamforming Designs
This paper introduces a dual-function radar-communication (DFRC) system with cognitive radio capability to tackle the spectral scarcity problem in wireless communications. Particularly, a cognitive DFRC system operates on a spectrum owned by a primary system to simultaneously perform data communication and target tracking with the condition that its interference to the primary users (PUs) is below a certain threshold. To achieve this, an optimization problem is formulated to jointly design the …

FlashDMoE: Fast Distributed MoE in a Single Kernel
Osayamen Jonathan Aimuyo, Byungsoo Oh, Rachee Singh
https://arxiv.org/abs/2506.04667 https://

FlashDMoE: Fast Distributed MoE in a Single Kernel
The computational sparsity of Mixture-of-Experts (MoE) models enables sub-linear growth in compute cost as model size increases, offering a scalable path to training massive neural networks. However, existing implementations suffer from \emph{low GPU utilization}, \emph{significant latency overhead}, and a fundamental \emph{inability to leverage task locality}, primarily due to CPU-managed scheduling, host-initiated communication, and frequent kernel launches. To overcome these limitations, we …

This https://arxiv.org/abs/2411.17931 has been replaced.
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Combining Threat Intelligence with IoT Scanning to Predict Cyber Attack
While the Web has become a global platform for communication, malicious actors, including hackers and hacktivist groups, often disseminate ideological content and coordinate activities through the "Dark Web", an obscure counterpart of the conventional web. Presently, challenges such as information overload and the fragmented nature of cyber threat data impede comprehensive profiling of these actors, thereby limiting the efficacy of predictive analyses of their online activities. Concurrently, t…

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

DiG-Net: Enhancing Quality of Life through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics
Eran Bamani Beeri, Eden Nissinman, Avishai Sintov
https://arxiv.org/abs/2505.24786

DiG-Net: Enhancing Quality of Life through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics
Dynamic hand gestures play a pivotal role in assistive human-robot interaction (HRI), facilitating intuitive, non-verbal communication, particularly for individuals with mobility constraints or those operating robots remotely. Current gesture recognition methods are mostly limited to short-range interactions, reducing their utility in scenarios demanding robust assistive communication from afar. In this paper, we introduce a novel approach designed specifically for assistive robotics, enabling …

Single-layer Circular SIW Filtenna With Beam Scanning Capability for 5G Millimeter Wave Communication Applications
Jiawang Li
https://arxiv.org/abs/2506.00361

Single-layer Circular SIW Filtenna With Beam Scanning Capability for 5G Millimeter Wave Communication Applications
In this communication, two novel low-cost single-layer filtering antennas (filtennas) are proposed for millimeter wave (mmWave) applications. The proposed filtennas consists of a compact circular substrate integrated waveguide (SIW) cavity, a metal post close to the center of the cavity for power feeding, a metal post in the center for modes controlling, and a slot for radiating power. In the passband, the fundamental TM010 mode and the TM110 mode in the circular SIW cavity are excited by the f…

Scalable Association of Users in CF-mMIMO: A Synergy of Communication, Sensing, and JCAS
Ahmed Naeem, Anastassia Gharib, El Mehdi Amhoud, H\"useyin Arslan
https://arxiv.org/abs/2506.01060

Scalable Association of Users in CF-mMIMO: A Synergy of Communication, Sensing, and JCAS
Cell-free massive multiple-input multiple-output (CF-mMIMO) is a key enabler for the sixth generation (6G) networks, offering unprecedented spectral efficiency and ubiquitous coverage. In CF-mMIMO systems, the association of user equipments (UEs) to access points (APs) is a critical challenge, as it directly impacts network scalability, interference management, and overall system performance. Conventional association methods primarily focus on optimizing communication performance. However, with…

Baseband-Free End-to-End Communication System Based on Diffractive Deep Neural Network
Xiaokun Teng, Wankai Tang, Xiao Li, Shi Jin
https://arxiv.org/abs/2506.02411

Baseband-Free End-to-End Communication System Based on Diffractive Deep Neural Network
Diffractive deep neural network (D2NN), also referred to as reconfigurable intelligent metasurface based deep neural networks (Rb-DNNs) or stacked intelligent metasurfaces (SIMs) in the field of wireless communications, has emerged as a promising signal processing paradigm that enables computing-by-propagation. However, existing architectures are limited to implementing specific functions such as precoding and combining, while still relying on digital baseband modules for other essential tasks …

Beamforming for Secure RSMA-Aided ISAC Systems
Qian Dan, Hongjiang Lei, Ki-Hong Park, Gaofeng Pan
https://arxiv.org/abs/2506.03622 https://

Beamforming for Secure RSMA-Aided ISAC Systems
This work investigates the physical layer security of rate-splitting multiple access (RSMA)-aided integrated communication and sensing (ISAC) systems. The ISAC base station (BS) transmits signals to communicate with users in an eavesdropped scenario and to estimate the parameters of the sensed targets. The research considers different sensing signals under RSMA technology and the Cram{é}r-Rao bound of the parameter estimation is utilized as the sensing metric. With the channel state informatio…

Dual-UAV-Aided Covert Communications for Air-to-Ground ISAC Networks
Jingke Sun, Liang Yang, Alexandros-Apostolos A. Boulogeorgos, Theodoros A. Tsiftsis, Hongwu Liu
https://arxiv.org/abs/2506.00601

Dual-UAV-Aided Covert Communications for Air-to-Ground ISAC Networks
To enhance both the sensing and covert communication performance, a dual-unmanned aerial vehicle (UAV)-aided scheme is proposed for integrated sensing and communication networks, in which one UAV maneuvers as the aerial dual-functional base-station (BS), while another UAV flies as the cooperative jammer. Artificial noise (AN) transmitted by the jamming UAV is utilized not only to confuse the ground warden but also to aid the aerial BS to sense multiple ground targets by combing the target-echoe…

This https://arxiv.org/abs/2410.13219 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Fundamental Limits of Pulse Based UWB ISAC Systems: A Parameter Estimation Perspective
This paper investigates a bi-static integrated sensing and communication (ISAC) system for multi-target scenarios using impulse radio ultra-wideband (IR-UWB) signals, which offer fine temporal resolution, low power consumption, and strong resistance to multipath interference. Two typical modulation schemes, namely pulse position modulation (PPM) and binary phase shift keying (BPSK), are considered for communication over the delay and phase domains, respectively. Accordingly, we introduce a pilo…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Hansung Choi, Daewon Seo
https://arxiv.org/abs/2506.01269 https://…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improvements in communication performance over wireless networks. However, current approaches primarily focus on enhancing average performance metrics, such as overall image reconstruction quality or task accuracy, which may not fully align with users' actual experience -- often driven by the quality of specific regions of interest (ROI). Motivated by this, we propose ROI-guided joint source-channel codi…

Three-Dimensional Channel Modeling for Molecular Communications in Tubular Environments with Heterogeneous Boundary Conditions
Yun-Feng Lo, Changmin Lee, Chan-Byoung Chae
https://arxiv.org/abs/2506.00803

Three-Dimensional Channel Modeling for Molecular Communications in Tubular Environments with Heterogeneous Boundary Conditions
Molecular communication (MC), one of the emerging techniques in the field of communication, is entering a new phase following several decades of foundational research. Recently, attention has shifted toward MC in liquid media, particularly within tubular environments, due to novel application scenarios. The spatial constraints of such environments make accurate modeling of molecular movement in tubes more challenging than in traditional free-space channels. In this paper, we propose a three-dim…

The equivalent condition for GRL codes to be MDS, AMDS or self-dual
Zhonghao Liang, Qunying Liao
https://arxiv.org/abs/2506.03874 https://

The equivalent condition for GRL codes to be MDS, AMDS or self-dual
It is well-known that MDS, AMDS or self-dual codes have good algebraic properties, and are applied in communication systems, data storage, quantum codes, and so on. In this paper, we focus on a class of generalized Roth-Lempel linear codes, and give an equivalent condition for them or their dual to be non-RS MDS, AMDS or non-RS self-dual and some corresponding examples.

Control Signaling for Reconfigurable Intelligent Surfaces: How Many Bits are Needed?
Anders Enqvist, \"Ozlem Tu\u{g}fe Demir, Cicek Cavdar, Emil Bj\"ornson
https://arxiv.org/abs/2506.03929

Control Signaling for Reconfigurable Intelligent Surfaces: How Many Bits are Needed?
Reconfigurable intelligent surfaces (RISs) can greatly improve the signal quality of future communication systems by reflecting transmitted signals toward the receiver. However, even when the base station (BS) has perfect channel knowledge and can compute the optimal RIS phase-shift configuration, implementing this configuration requires feedback signaling over a control channel from the BS to the RIS. This feedback must be kept minimal, as it is transmitted wirelessly every time the channel ch…

MudiNet: Task-guided Disentangled Representation Learning for 5G Indoor Multipath-assisted Positioning
Ye Tian, Xueting Xu, Ao Peng
https://arxiv.org/abs/2506.04024

MudiNet: Task-guided Disentangled Representation Learning for 5G Indoor Multipath-assisted Positioning
In the fifth-generation communication system (5G), multipath-assisted positioning (MAP) has emerged as a promising approach. With the enhancement of signal resolution, multipath component (MPC) are no longer regarded as noise but rather as valuable information that can contribute to positioning. However, existing research often treats reflective surfaces as ideal reflectors, while being powerless in the face of indistinguishable multipath caused by diffuse reflectors. This study approaches diff…

This https://arxiv.org/abs/2406.06842 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Aerial Relay to Achieve Covertness and Security
In this work, a delay-tolerant unmanned aerial vehicle (UAV) relayed covert and secure communication framework is investigated. In this framework, a legitimate UAV serves as an aerial relay to realize communication when the direct link between the terrestrial transmitter and receiver is blocked and also acts as a friendly jammer to suppress the malicious nodes presented on the ground. Subsequently, considering the uncertainty of malicious nodes' positions, a robust fractional programming optimi…

Near-Field Multiuser Localization Based on Extremely Large Antenna Array with Limited RF Chains
Boyu Teng, Xiaojun Yuan, Rui Wang, Ying-Chang Liang
https://arxiv.org/abs/2506.00884

Near-Field Multiuser Localization Based on Extremely Large Antenna Array with Limited RF Chains
Extremely large antenna array (ELAA) not only effectively enhances system communication performance but also improves the sensing capabilities of communication systems, making it one of the key enabling technologies in 6G wireless networks. This paper investigates the multiuser localization problem in an uplink Multiple Input Multiple Output (MIMO) system, where the base station (BS) is equipped with an ELAA to receive signals from multiple single-antenna users. We exploit analog beamforming to…

DFRC Systems Co-existing in Licensed Spectrum: Cognitive Beamforming Designs
Tuan Anh Le, Ivan Ku, Xin-She Yang, Christos Masouros, Tho Le-Ngoc
https://arxiv.org/abs/2506.01202

DFRC Systems Co-existing in Licensed Spectrum: Cognitive Beamforming Designs
This paper introduces a dual-function radar-communication (DFRC) system with cognitive radio capability to tackle the spectral scarcity problem in wireless communications. Particularly, a cognitive DFRC system operates on a spectrum owned by a primary system to simultaneously perform data communication and target tracking with the condition that its interference to the primary users (PUs) is below a certain threshold. To achieve this, an optimization problem is formulated to jointly design the …

This https://arxiv.org/abs/2505.17879 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

LLM4SP: Large Language Models for Scatterer Prediction via Synesthesia of Machines
Guided by Synesthesia of Machines (SoM), the nonlinear mapping relationship between sensory and communication information serves as a powerful tool to enhance both the accuracy and generalization of vehicle-to-vehicle (V2V) multi-modal intelligent channel modeling (MMICM) in intelligent transportation systems (ITSs). To explore the general mapping relationship between physical environment and electromagnetic space, a new intelligent sensing-communication integration dataset, named V2V-M3, is co…

Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad, Aditya Sant, David J. Love, Christopher G. Brinton
https://arxiv.org/abs/2506.00374

Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
In recent years, machine learning (ML) methods have become increasingly popular in wireless communication systems for several applications. A critical bottleneck for designing ML systems for wireless communications is the availability of realistic wireless channel datasets, which are extremely resource-intensive to produce. To this end, the generation of realistic wireless channels plays a key role in the subsequent design of effective ML algorithms for wireless communication systems. Generativ…

Performance Analysis of Wireless Communication Systems Assisted by Fluid Reconfigurable Intelligent Surfaces
Farshad Rostami Ghadi, Kai-Kit Wong, F. Javier Lopez-Martinez, George C. Alexandropoulos, Chan-Byoung Chae
https://arxiv.org/abs/2505.23680

Performance Analysis of Wireless Communication Systems Assisted by Fluid Reconfigurable Intelligent Surfaces
This letter investigates the performance of emerging wireless communication systems assisted by a fluid reconfigurable intelligent surface (FRIS). Unlike conventional reconfigurable intelligent surfaces (RISs), an FRIS consists of fluid-inspired metamaterials arranged in a densely packed matrix of sub-elements over a surface. It dynamically activates specific elements for signal reflection and modulation based on real-time channel conditions. Considering a downlink scenario where a base station…