Tootfinder

Eigenvalue-Based Detection in MIMO Systems for Integrated Sensing and Communication
Alex Obando, Saman Atapattu, Prathapasinghe Dharmawansa, Akram Hourani, Kandeepan Sithamparanathan
https://arxiv.org/abs/2506.09439

Eigenvalue-Based Detection in MIMO Systems for Integrated Sensing and Communication
This paper considers a MIMO Integrated Sensing and Communication (ISAC) system, where a base station simultaneously serves a MIMO communication user and a remote MIMO sensing receiver, without channel state information (CSI) at the transmitter. Existing MIMO ISAC literature often prioritizes communication rate or detection probability, typically under constant false-alarm rate (CFAR) assumptions, without jointly analyzing detection reliability and communication constraints. To address this gap,…

First Evidence of Potential Language-Like Communication in Dolphins: Study #AnimalRights

First Evidence of Potential Language-Like Communication in Dolphins: Study
Scientists with the Woods Hole Oceanographic Institution and partners have identified possible language-like communication among dolphins.

Unconditionally Secure Wireless-Wired Ground-Satellite-Ground Communication Networks Utilizing Classical and Quantum Noise
Lucas Truax, Sandip Roy, Laszlo B. Kish
https://arxiv.org/abs/2506.10147

Unconditionally Secure Wireless-Wired Ground-Satellite-Ground Communication Networks Utilizing Classical and Quantum Noise
In this paper, we introduce the Kirchhoff-Law-Johnson-Noise (KLJN) as an approach to securing satellite communications. KLJN has the potential to revolutionize satellite communication security through its combination of simplicity, cost-effectiveness, and resilience with unconditional security. Unlike quantum key distribution (QKD), which requires complex, fragile, and expensive infrastructure like photon detectors and dedicated optical links, KLJN operates using standard electronic components …

https://music.apple.com/au/album/communication/1751828472?i=1751830268&l=en-GB
If you’re wondering if they ever made a dance-trance track with the sound of GSM 2G speaker buzzing, embracing the vibes of the Nokia age, then here’s y…

Communication by Mario Più on Apple Music
Song · 1999 · Duration 2:40

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
Huong Nguyen, Hong-Tri Nguyen, Praveen Kumar Donta, Susanna Pirttikangas, Lauri Lov\'en
https://arxiv.org/abs/2506.10607

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
Federated learning has emerged as a privacy-preserving technique for collaborative model training across heterogeneously distributed silos. Yet, its reliance on a single central server introduces potential bottlenecks and risks of single-point failure. Decentralizing the server, often referred to as decentralized learning, addresses this problem by distributing the server role across nodes within the network. One drawback regarding this pure decentralization is it introduces communication ineff…

Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols
Dhrumil Bhatt, Nirbhay Singhal
https://arxiv.org/abs/2506.09817 https://

Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols
This paper presents an enhanced Vehicle-to-Everything (V2X) communication system featuring adaptive Medium Access Control (MAC) using game theory. Our approach integrates dynamic transmission power control, dynamic beacon rates, contention window adaptation, and implicit acknowledgment mechanisms within a Manhattan-like grid-based mobility scenario. Simulations are conducted in a circular coverage area, incorporating refined signal propagation models and probabilistic vehicle mobility with boun…

This https://arxiv.org/abs/2505.16457 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Maximum Separation of Quantum Communication Complexity With and Without Shared Entanglement
We present relation problems whose input size is $n$ such that they can be solved with no communication for entanglement-assisted quantum communication models, but require $Ω(n)$ qubit communication for $2$-way quantum communication models without prior shared entanglement. This is the maximum separation of quantum communication complexity with and without shared entanglement. To our knowledge, our result even shows the first lower bound on quantum communication complexity without shared entan…

HP unveils Dimension, the first hardware built with Google's 3D video conferencing tech, featuring a 65-inch light field display, launching in 2025 for $25,000 (Emma Roth/The Verge)
https://www.theverge.com/news/684859/hp-dimension-google-b…

HP reveals $24,999 hardware created just for Google Beam
HP has revealed the first third-party hardware built using Google’s 3D video conferencing technology, Beam. The HP Dimension costs $24,999 and features a 65-inch light field display to create a “true-to-life” 3D video of your caller.

some infosec person: telegram is an fsb honeypot
me: yeah probably i guess? but i'm still going to use a communication app that is fit for communication

"Sale of the Amsterdam University Press (AUP) film, media and communication list to Taylor & Francis – Resignation of series editors and editorial board members" https://mediastudies.hypotheses.org/6850

Agentic AI as the enemy's agent.
It is a bad idea to allow an LLM access to internal data and external communication (web pages, APIs, email, …) at the same time.
#AgenticAI #DataLeak #LLM

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments
Hengrui Liu, Yi Feng, Qilong Zhang
https://arxiv.org/abs/2507.07376

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments
Multi-Agent Search and Rescue (MASAR) plays a vital role in disaster response, exploration, and reconnaissance. However, dynamic and unknown environments pose significant challenges due to target unpredictability and environmental uncertainty. To tackle these issues, we propose PILOC, a framework that operates without global prior knowledge, leveraging local perception and communication. It introduces a pheromone inverse guidance mechanism to enable efficient coordination and dynamic target loc…

The European Space Agency (ESA) successfully established a transmission-reception optical link with NASA’s Deep Space Optical Communications (DSOC) experiment onboard its #Psyche mission, located 265 million kilometres away, using two optical grounds stations developed for this purpose in Greece: https://www.esa.int/Enabling_Support/Operations/Europe_s_first_deep-space_optical_communication_link

from my link log —
Idris 2: quantitative type theory in practice.
https://arxiv.org/abs/2104.00480
saved 2025-06-11 https://dotat…

Idris 2: Quantitative Type Theory in Practice
Dependent types allow us to express precisely what a function is intended to do. Recent work on Quantitative Type Theory (QTT) extends dependent type systems with linearity, also allowing precision in expressing when a function can run. This is promising, because it suggests the ability to design and reason about resource usage protocols, such as we might find in distributed and concurrent programming, where the state of a communication channel changes throughout program execution. As yet, howe…

Help or Hindrance: Understanding the Impact of Robot Communication in Action Teams
Tauhid Tanjim, Jonathan St. George, Kevin Ching, Hee Rin Lee, Angelique Taylor
https://arxiv.org/abs/2506.08892

Help or Hindrance: Understanding the Impact of Robot Communication in Action Teams
The human-robot interaction (HRI) field has recognized the importance of enabling robots to interact with teams. Human teams rely on effective communication for successful collaboration in time-sensitive environments. Robots can play a role in enhancing team coordination through real-time assistance. Despite significant progress in human-robot teaming research, there remains an essential gap in how robots can effectively communicate with action teams using multimodal interaction cues in time-se…

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
Yuxuan Li, Sheng Jinag, Bizhu Wang
https://arxiv.org/abs/2506.10001

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
With technology advancing and the pursuit of new audiovisual experiences strengthening, the metaverse has gained surging enthusiasm. However, it faces practical hurdles as substantial data like high-resolution virtual scenes must be transmitted between cloud platforms and VR devices. Specifically, the VR device's wireless transmission hampered by insufficient bandwidth, causes speed and delay problems. Meanwhile, poor channel quality leads to data errors and worsens user experience. To solve th…

Diver-Robot Communication Dataset for Underwater Hand Gesture Recognition
Igor Kvasi\'c, Derek Orbaugh Antillon, {\DH}ula Na{\dj}, Christopher Walker, Iain Anderson, Nikola Mi\v{s}kovi\'c
https://arxiv.org/abs/2506.08974

Diver-Robot Communication Dataset for Underwater Hand Gesture Recognition
In this paper, we present a dataset of diving gesture images used for human-robot interaction underwater. By offering this open access dataset, the paper aims at investigating the potential of using visual detection of diving gestures from an autonomous underwater vehicle (AUV) as a form of communication with a human diver. In addition to the image recording, the same dataset was recorded using a smart gesture recognition glove. The glove uses elastomer sensors and on-board processing to determ…

#Blakes7 Series B, Episode 02 - Shadow
BLAKE: Will it work?
AVON: Of course it will work. I have set a small disruption bomb to precise limits within Orac's energy range. Any variation above or below and there will be a rather satisfying little explosion. The slightest attempt to tamper with the communication channels will reduce Orac to a heap of spare parts.

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Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
Ze'ev Zukerman, Bassel Hamoud, Kfir Y. Levy
https://arxiv.org/abs/2507.05508

Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
Distributed learning methods have gained substantial momentum in recent years, with communication overhead often emerging as a critical bottleneck. Gradient compression techniques alleviate communication costs but involve an inherent trade-off between the empirical efficiency of biased compressors and the theoretical guarantees of unbiased compressors. In this work, we introduce a novel Multilevel Monte Carlo (MLMC) compression scheme that leverages biased compressors to construct statistically…

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication
Mohammad Ghassemi, Sara Farrag Mobarak, Han Zhang, Ali Afana, Akram Bin Sediq, Melike Erol-Kantarci
https://arxiv.org/abs/2506.09855

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication
Reconfigurable intelligent surfaces (RIS) have emerged as a promising technology for enhancing wireless communication by dynamically controlling signal propagation in the environment. However, their efficient deployment relies on accurate channel state information (CSI), which leads to high channel estimation overhead due to their passive nature and the large number of reflective elements. In this work, we solve this challenge by proposing a novel framework that leverages a pre-trained open-sou…

Measuring Communication Quality of Interest Rate Announcements
Jonathan Benchimol, Itamar Caspi, Sophia Kazinnik
https://arxiv.org/abs/2506.09868 https://

Measuring Communication Quality of Interest Rate Announcements
We use text-mining techniques to measure the accessibility and quality of information within the texts of interest rate announcements published by the Bank of Israel over the past decade. We find that comprehension of interest rate announcements published by the Bank of Israel requires fewer years of education than interest rate announcements published by the Federal Reserve and the European Central Bank. In addition, we show that the sentiment within these announcements is aligned with economi…

Multi-FPGA Synchronization and Data Communication for Quantum Control and Measurement
Yilun Xu, Abhi D. Rajagopala, Neelay Fruitwala, Gang Huang
https://arxiv.org/abs/2506.09856

Multi-FPGA Synchronization and Data Communication for Quantum Control and Measurement
In the last decade, quantum computing has grown from novel physics experiments with a few qubits to commercial systems with hundreds of qubits. As quantum computers continue to grow in qubit count, the classical control systems must scale correspondingly. While a few expensive multi-board commercial solutions exist, most open-source solutions are limited to single-board radio frequency system-on-chip (RFSoC). The essential requirements for a multi-board solution are clock synchronization among …

Generate Realistic Test Scenes for V2X Communication Systems
An Guo, Xinyu Gao, Chunrong Fang, Haoxiang Tian, Weisong Sun, Yanzhou Mu, Shuncheng Tang, Lei Ma, Zhenyu Chen
https://arxiv.org/abs/2506.07419

Generate Realistic Test Scenes for V2X Communication Systems
Accurately perceiving complex driving environments is essential for ensuring the safe operation of autonomous vehicles. With the tremendous progress in deep learning and communication technologies, cooperative perception with Vehicle-to-Everything (V2X) technologies has emerged as a solution to overcome the limitations of single-agent perception systems in perceiving distant objects and occlusions. Despite the considerable advancements, V2X cooperative perception systems require thorough testin…

internet_as: Internet AS graph (2006)
A symmetrized snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from BGP tables posted by the University of Oregon Route Views Project. This snapshot was created on 22 July 2006.
This network has 22963 nodes and 48436 edges.
Tags: Technological, Communication, Unweighted

Ukraine's HUR destroys Russian command post in occupied Melitopol in joint operation with partisans: https://benborges.xyz/2025/07/11/ukraines-hur-destroys-russian-command.html

Distributed and adaptive model predictive control for vehicle platoon systems under non-ideal communication
Qiaoni Han, Chengfei Xu, Zhiqiang Zuo
https://arxiv.org/abs/2507.07429 …

Distributed and adaptive model predictive control for vehicle platoon systems under non-ideal communication
The uncertainty of wireless communication poses significant challenges to platoon control performance. Aiming at alleviating the influence of non-ideal communication on the platoon system, this paper proposes a distributed and adaptive model predictive control (MPC) method. First of all, to deal with the transmission uncertainty caused by non-ideal communication, compensated data packets are customized for each vehicle. Then, an adaptive model predictive control method is proposed to balance th…

Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure
Myoungsoo Jung
https://arxiv.org/abs/2507.07223

Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure
Modern AI workloads such as large language models (LLMs) and retrieval-augmented generation (RAG) impose severe demands on memory, communication bandwidth, and resource flexibility. Traditional GPU-centric architectures struggle to scale due to growing inter-GPU communication overheads. This report introduces key AI concepts and explains how Transformers revolutionized data representation in LLMs. We analyze large-scale AI hardware and data center designs, identifying scalability bottlenecks in…

Energy Efficiency Maximization for Movable Antenna Communication Systems
Jingze Ding, Zijian Zhou, Lipeng Zhu, Yuping Zhao, Bingli Jiao, Rui Zhang
https://arxiv.org/abs/2506.07129

Energy Efficiency Maximization for Movable Antenna Communication Systems
This paper investigates energy efficiency maximization for movable antenna (MA)-aided multi-user uplink communication systems by considering the time delay and energy consumption incurred by practical antenna movement. We first examine the special case with a single user and propose an optimization algorithm based on the one-dimensional (1D) exhaustive search to maximize the user's energy efficiency. Moreover, we derive an upper bound on the energy efficiency and analyze the conditions required…

Tiens tiens, le retour de Progressif Média (qui nous rappelle la définition du mot "contraptonyme")...
https://www.lalettre.fr/fr/action-publique

Soutenue par Vincent Bolloré, l'agence d'influence Progressif Media se lance dans la bataille électorale - LA LETTRE
La société de communication, dont le groupe Vivendi est actionnaire minoritaire, propose en sous-marin une offre de ciblage électoral et de marketing politique pour les futurs candidats aux

Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communication
Tauhid Tanjim, Promise Ekpo, Huajie Cao, Jonathan St. George, Kevin Ching, Hee Rin Lee, Angelique Taylor
https://arxiv.org/abs/2506.08890

Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communication
Healthcare workers (HCWs) encounter challenges in hospitals, such as retrieving medical supplies quickly from crash carts, which could potentially result in medical errors and delays in patient care. Robotic crash carts (RCCs) have shown promise in assisting healthcare teams during medical tasks through guided object searches and task reminders. Limited exploration has been done to determine what communication modalities are most effective and least disruptive to patient care in real-world sett…

Description and Discussion on DCASE 2025 Challenge Task 4: Spatial Semantic Segmentation of Sound Scenes
Masahiro Yasuda, Binh Thien Nguyen, Noboru Harada, Romain Serizel, Mayank Mishra, Marc Delcroix, Shoko Araki, Daiki Takeuchi, Daisuke Niizumi, Yasunori Ohishi, Tomohiro Nakatani, Takao Kawamura, Nobutaka Ono
https://arxiv.org…

Description and Discussion on DCASE 2025 Challenge Task 4: Spatial Semantic Segmentation of Sound Scenes
Spatial Semantic Segmentation of Sound Scenes (S5) aims to enhance technologies for sound event detection and separation from multi-channel input signals that mix multiple sound events with spatial information. This is a fundamental basis of immersive communication. The ultimate goal is to separate sound event signals with 6 Degrees of Freedom (6DoF) information into dry sound object signals and metadata about the object type (sound event class) and representing spatial information, including d…

Multi-Level Damage-Aware Graph Learning for Resilient UAV Swarm Networks
Huan Lin, Chenguang Zhu, Lianghui Ding, Feng Yang
https://arxiv.org/abs/2506.09703

Multi-Level Damage-Aware Graph Learning for Resilient UAV Swarm Networks
Unmanned aerial vehicle (UAV) swarm networks leverage resilient algorithms to address communication network split issues and restore connectivity. However, existing graph learning-based resilient algorithms face over-aggregation and non-convergence problems caused by uneven and sparse topology under massive damage scenarios. To alleviate these problems, we propose a novel Multi-Level Damage-Aware Graph Learning (ML-DAGL) algorithm, which generates recovery trajectories by mining information fro…

Immersive Multimedia Communication: State-of-the-Art on eXtended Reality Streaming
Haopeng Wang, Haiwei Dong, Abdulmotaleb El Saddik
https://arxiv.org/abs/2506.10004

Immersive Multimedia Communication: State-of-the-Art on eXtended Reality Streaming
Extended reality (XR) is rapidly advancing, and poised to revolutionize content creation and consumption. In XR, users integrate various sensory inputs to form a cohesive perception of the virtual environment. This survey reviews the state-of-the-art in XR streaming, focusing on multiple paradigms. To begin, we define XR and introduce various XR headsets along with their multimodal interaction methods to provide a foundational understanding. We then analyze XR traffic characteristics to highlig…

Optimizing Scalable Multi-Cluster Architectures for Next-Generation Wireless Sensing and Communication
Samuel Riedel, Yichao Zhang, Marco Bertuletti, Luca Benini
https://arxiv.org/abs/2507.05012

Optimizing Scalable Multi-Cluster Architectures for Next-Generation Wireless Sensing and Communication
Next-generation wireless technologies (for immersive-massive communication, joint communication and sensing) demand highly parallel architectures for massive data processing. A common architectural template scales up by grouping tens to hundreds of cores into shared-memory clusters, which are then scaled out as multi-cluster manycore systems. This hierarchical design, used in GPUs and accelerators, requires a balancing act between fewer large clusters and more smaller clusters, affecting design…

Optimizing brightness of SPDC source in Laguerre-Gaussian modes using type-0 periodically-poled nonlinear crystal
Jungmo Lee, Kyungdeuk Park, Dongkyu Kim, Yonggi Jo, Dong-Gil Im, Yong Sup Ihn
https://arxiv.org/abs/2506.10385

Optimizing brightness of SPDC source in Laguerre-Gaussian modes using type-0 periodically-poled nonlinear crystal
Photon pairs generated via spontaneous parametric down-conversion (SPDC) can exhibit entanglement in the Laguerre-Gaussian (LG) mode basis, which enables high-dimensional free-space quantum communication by exploiting the high-dimensional space spanned by the LG modes. For such free-space quantum communication, the brightness of the quantum light source plays an important role due to the atmospheric turbulence and photon loss. A variety of studies have analyzed the SPDC brightness by decomposin…

Kerr nonlinearity, self-injection locking and correlation in a microresonator
Andrey Matsko, Abdelkrim El Amili, Lute Maleki
https://arxiv.org/abs/2506.09243

Kerr nonlinearity, self-injection locking and correlation in a microresonator
Production of entangled photon pairs is important in secure communication systems, quantum computing, and fundamental physics experiments. Achieving efficient generation of such photon pairs with low-loss parametric oscillators is a key objective in advancing integrated quantum technologies. However, spatially separating the generated photons while preserving their entanglement represents a significant technical challenge. In this work, we demonstrate nonlinear generation of correlated optical …

Series B, Episode 07 - Killer
TYNUS: [Entering with food packages] I've got one for each of you. Hydrolyzed protein.
VILA: Thanks.
TYNUS: I've got to put it in the oven first.
AVON: Don't bother.
VILA: Lost our appetites suddenly.
https://blake.torpidity.net/m/207/506

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“I witnessed how they put my father in handcuffs, chained him from the waist and from his ankles,”
Contreras said at a press conference in LA on Monday morning.
“My family and I haven’t had communication with my dad.
We don’t know anything.”
Jacob and Romero were among dozens of people arrested in immigration enforcement actions in Los Angeles this weekend,
raids that sparked a roaring backlash and eventually led to the deployment of the national guard in the ci…

Learning To Communicate Over An Unknown Shared Network
Shivangi Agarwal, Adi Asija, Sanjit K. Kaul, Arani Bhattacharya, Saket Anand
https://arxiv.org/abs/2507.06499

Learning To Communicate Over An Unknown Shared Network
As robots (edge-devices, agents) find uses in an increasing number of settings and edge-cloud resources become pervasive, wireless networks will often be shared by flows of data traffic that result from communication between agents and corresponding edge-cloud. In such settings, agent communicating with the edge-cloud is unaware of state of network resource, which evolves in response to not just agent's own communication at any given time but also to communication by other agents, which stays u…

Dr Turing's Imitation Game makes a sort of sad sense as a closeted gay intellectual, trying to find his people through writing letters
So, in an environment where all money decisions are made through digital communication artifacts ("pitch decks" and "presentation to the VCs")
…it makes a similar sort of sad sense that "being able to imitate digital communication artifacts" is the *only* measure of "intelligence" that matters

FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models
Hariharan Ramesh, Jyotikrishna Dass
https://arxiv.org/abs/2506.09199

FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models
Integrating Low-Rank Adaptation (LoRA) into federated learning offers a promising solution for parameter-efficient fine-tuning of Large Language Models (LLMs) without sharing local data. However, several methods designed for federated LoRA present significant challenges in balancing communication efficiency, model accuracy, and computational cost, particularly among heterogeneous clients. These methods either rely on simplistic averaging of local adapters, which introduces aggregation noise, re…

Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review
Anjana Sarkar, Soumyendu Sarkar
https://arxiv.org/abs/2506.05364 https…

Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review
This survey investigates how classical software design patterns can enhance the reliability and scalability of communication in Large Language Model (LLM)-driven agentic AI systems, focusing particularly on the Model Context Protocol (MCP). It examines the foundational architectures of LLM-based agents and their evolution from isolated operation to sophisticated, multi-agent collaboration, addressing key communication hurdles that arise in this transition. The study revisits well-established pa…

email_eu: Email network (EU research inst.)
An email network (anonymized) from a large European research institution, collected from October 2003 to May 2005 (18 months). Each node corresponds to an email address, and a directed edge exists between nodes i and j, if i sent at least one message to j.
This network has 265214 nodes and 420045 edges.
Tags: Social, Communication, Unweighted

A Comprehensive Survey of Unmanned Aerial Systems' Risks and Mitigation Strategies
Sharad Shrestha, Mohammed Ababneh, Satyajayant Misra, Henry M. Cathey, Jr., Roopa Vishwanathan, Matt Jansen, Jinhong Choi, Rakesh Bobba, Yeongjin Jang
https://arxiv.org/abs/2506.10327

A Comprehensive Survey of Unmanned Aerial Systems' Risks and Mitigation Strategies
In the last decade, the rapid growth of Unmanned Aircraft Systems (UAS) and Unmanned Aircraft Vehicles (UAV) in communication, defense, and transportation has increased. The application of UAS will continue to increase rapidly. This has led researchers to examine security vulnerabilities in various facets of UAS infrastructure and UAVs, which form a part of the UAS system to reinforce these critical systems. This survey summarizes the cybersecurity vulnerabilities in several phases of UAV deplo…

Collective Communication Profiling of Modern-day Machine Learning Workloads
Jit Gupta, Andrew Li, Tarun Banka, Ariel Cohen, T. Sridhar, Raj Yavatkar
https://arxiv.org/abs/2507.07117

Collective Communication Profiling of Modern-day Machine Learning Workloads
Machine Learning jobs, carried out on large number of distributed high performance systems, involve periodic communication using operations like AllReduce, AllGather, and Broadcast. These operations may create high bandwidth and bursty traffic patterns, leading to network congestion and packet loss, thus impacting the performance of these jobs. Hence it is imperative to analyze these patterns, which can be helpful in provisioning network resources depending on the type of machine learning workl…

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
Donglin Wang, Anjie Qiu, Qiuheng Zhou, Hans D. Schotten
https://arxiv.org/abs/2506.09512

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
The rapid advancement of Vehicle-to-Everything (V2X) communication is transforming Intelligent Transportation Systems (ITS), with 6G networks expected to provide ultra-reliable, low-latency, and high-capacity connectivity for Connected and Autonomous Vehicles (CAVs). Artificial Intelligence (AI) and Machine Learning (ML) have emerged as key enablers in optimizing V2X communication by enhancing network management, predictive analytics, security, and cooperative driving due to their outstanding p…

Integrating Large Language Models into Text Animation: An Intelligent Editing System with Inline and Chat Interaction
Bao Zhang, Zihan Li, Zhenglei Liu, Huanchen Wang, Yuxin Ma
https://arxiv.org/abs/2506.10762

Integrating Large Language Models into Text Animation: An Intelligent Editing System with Inline and Chat Interaction
Text animation, a foundational element in video creation, enables efficient and cost-effective communication, thriving in advertisements, journalism, and social media. However, traditional animation workflows present significant usability barriers for non-professionals, with intricate operational procedures severely hindering creative productivity. To address this, we propose a Large Language Model (LLM)-aided text animation editing system that enables real-time intent tracking and flexible edi…

Distributed Image Semantic Communication via Nonlinear Transform Coding
Yufei Bo, Meixia Tao, Kai Niu
https://arxiv.org/abs/2506.07391 https://

Distributed Image Semantic Communication via Nonlinear Transform Coding
This paper investigates distributed source-channel coding for correlated image semantic transmission over wireless channels. In this setup, correlated images at different transmitters are separately encoded and transmitted through dedicated channels for joint recovery at the receiver. We propose a general approach for distributed image semantic communication that applies to both separate source and channel coding (SSCC) and joint source-channel coding (JSCC). Unlike existing learning-based appr…

Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
Abigail Copiaco, Christian Ritz, Yassine Himeur, Valsamma Eapen, Ammar Albanna, Wathiq Mansoor
https://arxiv.org/abs/2506.09065

Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
The prevalence of Autism Spectrum Disorder (ASD) has surged rapidly over the past decade, posing significant challenges in communication, behavior, and focus for affected individuals. Current diagnostic techniques, though effective, are time-intensive, leading to high social and economic costs. This work introduces an AI-powered assistive technology designed to streamline ASD diagnosis and management, enhancing convenience for individuals with ASD and efficiency for caregivers and therapists. T…

Semantic Communication for Cooperative Multi-Tasking over Rate-Limited Wireless Channels with Implicit Optimal Prior
Ahmad Halimi Razlighi, Carsten Bockelmann, Armin Dekorsy
https://arxiv.org/abs/2506.08944

Semantic Communication for Cooperative Multi-Tasking over Rate-Limited Wireless Channels with Implicit Optimal Prior
In this work, we expand the cooperative multi-task semantic communication framework (CMT-SemCom) introduced in [1], which divides the semantic encoder on the transmitter side into a common unit (CU) and multiple specific units (SUs), to a more applicable design. Our proposed system model addresses real-world constraints by introducing a general design that operates over rate-limited wireless channels. Further, we aim to tackle the rate-limit constraint, represented through the Kullback-Leibler …

A Sagnac-based arbitrary time-bin state encoder for quantum communication applications
Kannan Vijayadharan, Mat\'ias Rub\'en Bola\~nos, Marco Avesani, Giuseppe Vallone, Paolo Villoresi, Costantino Agnesi
https://arxiv.org/abs/2506.08971

A Sagnac-based arbitrary time-bin state encoder for quantum communication applications
Time-bin encoding of quantum information is highly advantageous for long-distance quantum communication protocols over optical fibres due to its inherent robustness in the channel and the possibility of generating high-dimensional quantum states. The most common implementation of time-bin quantum states using unbalanced interferometers presents challenges in terms of stability and flexibility of operation. In particular, a limited number of states can be generated without modifying the optical …

Ampere: Communication-Efficient and High-Accuracy Split Federated Learning
Zihan Zhang, Leon Wong, Blesson Varghese
https://arxiv.org/abs/2507.07130 https:…

Ampere: Communication-Efficient and High-Accuracy Split Federated Learning
A Federated Learning (FL) system collaboratively trains neural networks across devices and a server but is limited by significant on-device computation costs. Split Federated Learning (SFL) systems mitigate this by offloading a block of layers of the network from the device to a server. However, in doing so, it introduces large communication overheads due to frequent exchanges of intermediate activations and gradients between devices and the server and reduces model accuracy for non-IID data. W…

AoI-Energy-Spectrum Optimization in Post-Disaster Powered Communication Intelligent Network via Hierarchical Heterogeneous Graph Neural Network
Hanjian Liu, Jinsong Gui
https://arxiv.org/abs/2507.03401

AoI-Energy-Spectrum Optimization in Post-Disaster Powered Communication Intelligent Network via Hierarchical Heterogeneous Graph Neural Network
This paper designs a post-disaster powered communication intelligent network (PDPCIN) to address communication disruptions caused by ground base station (GBS) failures within the post-disaster area. PDPCIN employs unmanned aerial vehicles (UAVs) to provide wireless data collection (WDC) and wireless energy transmission (WET) for affected areas and leverages low earth orbit satellites (LEO SATs) to relay UAV data to the nearest survival GBS. To ensure basic post-disaster communication while co-o…

Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation
Stefano Longari, Paolo Cerracchio, Michele Carminati, Stefano Zanero
https://arxiv.org/abs/2506.10620

Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation
The security of modern vehicles has become increasingly important, with the controller area network (CAN) bus serving as a critical communication backbone for various Electronic Control Units (ECUs). The absence of robust security measures in CAN, coupled with the increasing connectivity of vehicles, makes them susceptible to cyberattacks. While intrusion detection systems (IDSs) have been developed to counter such threats, they are not foolproof. Adversarial attacks, particularly evasion attac…

Decentralized Optimization with Amplified Privacy via Efficient Communication
Wei Huo, Changxin Liu, Kemi Ding, Karl Henrik Johansson, Ling Shi
https://arxiv.org/abs/2506.07102

Decentralized Optimization with Amplified Privacy via Efficient Communication
Decentralized optimization is crucial for multi-agent systems, with significant concerns about communication efficiency and privacy. This paper explores the role of efficient communication in decentralized stochastic gradient descent algorithms for enhancing privacy preservation. We develop a novel algorithm that incorporates two key features: random agent activation and sparsified communication. Utilizing differential privacy, we demonstrate that these features reduce noise without sacrificing…

ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols
Arnav Sheth, Ivaxi Sheth, Mario Fritz
https://arxiv.org/abs/2506.07945 h…

ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols
Recent advances in Large Language Models (LLMs) have shown promising capabilities in generating code for general-purpose programming languages. In contrast, their applicability for hardware description languages, particularly for generating synthesizable and functionally correct designs, remains significantly underexplored. HDLs such as SystemVerilog are logic-oriented and demand strict adherence to timing semantics, concurrency, and synthesizability constraints. Moreover, HDL-based design flow…

Limits of Classical correlations and Quantum advantages under (Anti-)Distinguishability constraints in Multipartite Communication
Ankush Pandit, Soumyabrata Hazra, Satyaki Manna, Anubhav Chaturvedi, Debashis Saha
https://arxiv.org/abs/2506.07699

Limits of Classical correlations and Quantum advantages under (Anti-)Distinguishability constraints in Multipartite Communication
We consider communication scenarios with multiple senders and a single receiver. Focusing on communication tasks where the distinguishability or anti-distinguishability of the sender's input is bounded, we show that quantum strategies without any shared entanglement can outperform the classical ones. We introduce a systematic technique for deriving the facet inequalities that delineate the polytope of classical correlations in such scenarios. As a proof of principle, we recover the complete set…

On the Ding and Helleseth's 8th open problem about optimal ternary cyclic codes
Dong He, Peipei Zheng, Qunying Liao
https://arxiv.org/abs/2506.09651 ht…

On the Ding and Helleseth's 8th open problem about optimal ternary cyclic codes
The cyclic code is a subclass of linear codes and has applications in consumer electronics, data storage systems and communication systems due to the efficient encoding and decoding algorithms. In 2013, Ding, et al. presented nine open problems about optimal ternary cyclic codes. Till now, the 1st, 2nd, 6th and 7th problems were completely solved, the 3rd, 8th and 9th problems were incompletely solved. In this manuscript, we focus on the 8th problem. By determining the root set of some special …

from my link log —
Critical analysis of the Meshtastic protocol.
https://www.disk91.com/2024/technology/lora/critical-analysis-of-the-meshtastic-protocol/
saved 2025-06-16

Critical Analysis of the Meshtastic Protocol - disk91.com - the IoT blog
Analysis of the Mestastic LoRa mesh solution in details, what's good and wrong with that communication solution.

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
Woonsang Kang, Joohyung Lee, Seungjun Kim, Jungchan Cho, Yoonseon Oh
https://arxiv.org/abs/2507.05861

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challenges. Federated Learning (FL) offers a privacy-preserving solution, but its application to GPD is hindered by the substantial communication overhead of large models, a key issue for resource-constrained robots. To address this, we propose a novel module-wise FL framework that begins by analyzing the learning dynamics o…

Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence
Eduardo Baena, Paolo Testolina, Michele Polese, Sergi Aliaga, Andrew Benincasa, Dimitrios Koutsonikolas, Josep Jornet, Tommaso Melodia
https://arxiv.org/abs/2506.10925

Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence
Lunar surface operations impose stringent requirements on wireless communication systems, including autonomy, robustness to disruption, and the ability to adapt to environmental and mission-driven context. While Space-O-RAN provides a distributed orchestration model aligned with 3GPP standards, its decision logic is limited to static policies and lacks semantic integration. We propose a novel extension incorporating a semantic agentic layer enabled by the Model Context Protocol (MCP) and Agent-…

Device-to-Device Communication in 5G/6G: Architectural Foundations and Convergence with Enabling Technologies
Mohammad Reza Fasihi, Brian L. Mark
https://arxiv.org/abs/2507.06946 …

Device-to-Device Communication in 5G/6G: Architectural Foundations and Convergence with Enabling Technologies
Device-to-Device (D2D) communication is a promising solution to meet the growing demands of 5G and future 6G networks by enabling direct communication between user devices. It enhances spectral efficiency (SE) and energy efficiency (EE), reduces latency, and supports proximity-based services. As wireless systems evolve toward 5G and 6G paradigms, the integration of D2D with advanced cellular technologies introduces new opportunities and challenges. This survey paper reviews the architectural fo…

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

Deep Learning-based Human Gesture Channel Modeling for Integrated Sensing and Communication Scenarios
Zhengyu Zhang, Neeraj Varshney, Jelena Senic, Raied Caromi, Samuel Berweger, Camillo Gentile, Enrico M. Vitucci, Ruisi He, Vittorio Degli-Esposti
https://arxiv.org/abs/2507.06588

Deep Learning-based Human Gesture Channel Modeling for Integrated Sensing and Communication Scenarios
With the development of Integrated Sensing and Communication (ISAC) for Sixth-Generation (6G) wireless systems, contactless human recognition has emerged as one of the key application scenarios. Since human gesture motion induces subtle and random variations in wireless multipath propagation, how to accurately model human gesture channels has become a crucial issue for the design and validation of ISAC systems. To this end, this paper proposes a deep learning-based human gesture channel modelin…

Secure Cooperative Gradient Coding: Optimality, Reliability, and Global Privacy
Shudi Weng
https://arxiv.org/abs/2507.07565 https://a…

Secure Cooperative Gradient Coding: Optimality, Reliability, and Global Privacy
This paper studies privacy-sensitive federated learning (FL) with unreliable communication, focusing on secure aggregation and straggler mitigation. While secure aggregation cryptographically reconstructs the global model without exposing client updates, random link failures disrupt its key coordination, degrading model accuracy. Moreover, unreliable communication can lead to objective inconsistency, causing the global model to converge to arbitrary, sub-optimal points far from the intended opt…

WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication
Zhang Youpeng, Nuwan Janaka, Ashwin Ram, Yin Peilin, Tian Yang, Shengdong Zhao, Pierre Dragicevic
https://arxiv.org/abs/2507.04238

WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication
The rise of wearable smart devices raises unprecedented opportunities for self-improvement through ubiquitous behavior tracking and guidance. However, the design of effective wearable behavior intervention systems remains relatively unexplored. To address this gap, we conducted controlled studies focusing on the reduction of unwanted words (e.g., filler words, swear words) in daily communication through auditory feedback using wearable technology. We started with a design space exploration, con…

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications
Seonho Lee, Jihwan Oh, Junkyum Kim, Seokjin Go, Jongse Park, Divya Mahajan
https://arxiv.org/abs/2507.03114

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications
This paper provides an in-depth characterization of GPU-accelerated systems, to understand the interplay between overlapping computation and communication which is commonly employed in distributed training settings. Due to the large size of models, distributing them across multiple devices is required. Overlapping strategies, which enable concurrent computation and communication, are critical for mitigating communication bottlenecks and maximizing GPU utilization. However, the current consensus…

Quantum secret sharing in a triangular superconducting quantum network
Haoxiong Yan, Allen Zang, Joel Grebel, Xuntao Wu, Ming-Han Chou, Gustav Andersson, Christopher R. Conner, Yash J. Joshi, Shiheng Li, Jacob M. Miller, Rhys G. Povey, Hong Qiao, Eric Chitambar, Andrew N. Cleland
https://arxiv.org/abs/2506.10878

Quantum secret sharing in a triangular superconducting quantum network
We present a three-node quantum communication testbed with a triangular topology, each side of the triangle formed by a 1.3-meter-long transmission line. We demonstrate state transfer and entanglement generation between any two nodes, generate genuine multipartite entangled GHZ states, and implement quantum secret sharing (QSS) of classical information. Our experiments show that the QSS protocol can effectively detect eavesdropping, ensuring the secure sharing of secrets. This device forms a te…

Age of Information in Unreliable Tandem Queues
Muthukrishnan Senthilkumar, Aresh Dadlani, Hina Tabassum
https://arxiv.org/abs/2506.09245 https://

Age of Information in Unreliable Tandem Queues
Stringent demands for timely information delivery, driven by the widespread adoption of real-time applications and the Internet of Things, have established the age of information (AoI) as a critical metric for quantifying data freshness. Existing AoI models often assume multi-hop communication networks with fully reliable nodes, which may not accurately capture scenarios involving node transmission failures. This paper presents an analytical framework for two configurations of tandem queue syst…

Free-Space Optical Communication-Driven NMPC Framework for Multi-Rotor Aerial Vehicles in Structured Inspection Scenarios
Giuseppe Silano, Daniel Bonilla Licea, Hajar El Hammouti, Martin Saska
https://arxiv.org/abs/2507.04443

Free-Space Optical Communication-Driven NMPC Framework for Multi-Rotor Aerial Vehicles in Structured Inspection Scenarios
This paper introduces a Nonlinear Model Predictive Control (NMPC) framework for communication-aware motion planning of Multi-Rotor Aerial Vehicles (MRAVs) using Free-Space Optical (FSO) links. The scenario involves MRAVs equipped with body-fixed optical transmitters and Unmanned Ground Vehicles (UGVs) acting as mobile relays, each outfitted with fixed conical Field-of-View (FoV) receivers. The controller integrates optical connectivity constraints into the NMPC formulation to ensure beam alignm…

RIS-Enabled Transmitter Design for Joint Radar and Communication
Emanuele Grossi, Marco Lops, Luca Venturino
https://arxiv.org/abs/2507.06028 https://

RIS-Enabled Transmitter Design for Joint Radar and Communication
Achieving efficient and cost-effective transmit beampattern control for integrated sensing and communication (ISAC) systems is a significant challenge. This paper addresses this by proposing a dual-function radar communication (DFRC) transmitter based on a reconfigurable intelligent surface (RIS) illuminated by a limited number of active sources. We formulate and solve the joint design of source waveforms and RIS phase shifts to match a desired space-frequency radiation pattern, and we evaluate…

Spectral Efficiency Maximization for DMA-enabled Multiuser MISO with Statistical CSI
Hao Xu, Boyu Ning, Chongjun Ouyang, Hongwen Yang
https://arxiv.org/abs/2506.09570

Spectral Efficiency Maximization for DMA-enabled Multiuser MISO with Statistical CSI
Dynamic metasurface antennas (DMAs) offer the potential to achieve large-scale antenna arrays with low power consumption and reduced hardware costs, making them a promising technology for future communication systems. This paper investigates the spectral efficiency (SE) of DMA-enabled multiuser multiple-input single-output (MISO) systems in both uplink and downlink transmissions, using only statistical channel state information (CSI) to maximize the ergodic sum rate of multiple users. For the u…

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

Random Exclusion Codes: Quantum Advantages of Single-Shot Communication
Joonwoo Bae, Kieran Flatt, Teiko Heinosaari, Oskari Kerppo, Karthik Mohan, Andr\'es Mu\~noz-Moller, Ashutosh Rai
https://arxiv.org/abs/2506.07701

Random Exclusion Codes: Quantum Advantages of Single-Shot Communication
Identifying information tasks that offer advantages over their classical counterparts by exploiting quantum resources finds the usefulness of quantum information technologies. In this work, we introduce a two-party communication primitive, Random Exclusion Code (REC), which is a single-shot prepare-and-measure protocol where a sender encodes a random message into a shorter sequence and a receiver attempts to exclude a randomly chosen letter in the original message. We present quantum advantages…

Baton: Compensate for Missing Wi-Fi Features for Practical Device-free Tracking
Yiming Zhao, Xuanqi Meng, Xinyu Tong, Xiulong Liu, Xin Xie, Wenyu Qu
https://arxiv.org/abs/2507.05597

Baton: Compensate for Missing Wi-Fi Features for Practical Device-free Tracking
Wi-Fi contact-free sensing systems have attracted widespread attention due to their ubiquity and convenience. The integrated sensing and communication (ISAC) technology utilizes off-the-shelf Wi-Fi communication signals for sensing, which further promotes the deployment of intelligent sensing applications. However, current Wi-Fi sensing systems often require prolonged and unnecessary communication between transceivers, and brief communication interruptions will lead to significant performance d…

Joint Beamforming and Position Optimization for Fluid STAR-RIS-NOMA Assisted Wireless Communication Systems
Yu Liu, Qu Luo, Gaojie Chen, Pei Xiao, Ahmed Elzanaty, Mohsen Khalily, Rahim Tafazolli
https://arxiv.org/abs/2507.06904

Joint Beamforming and Position Optimization for Fluid STAR-RIS-NOMA Assisted Wireless Communication Systems
To address the limitations of traditional reconfigurable intelligent surfaces (RIS) in spatial control capability, this paper introduces the concept of the fluid antenna system (FAS) and proposes a fluid simultaneously transmitting and reflecting RIS (FSTAR-RIS) assisted non-orthogonal multiple access (NOMA) multi-user communication system. In this system, each FSTAR-RIS element is capable of flexible mobility and can dynamically adjust its position in response to environmental variations, ther…

Passive Detection in Multi-Static ISAC Systems: Performance Analysis and Joint Beamforming Optimization
Renjie He, Yiqiu Wang, Meixia Tao, Shu Sun
https://arxiv.org/abs/2506.07019

Passive Detection in Multi-Static ISAC Systems: Performance Analysis and Joint Beamforming Optimization
This paper investigates the passive detection problem in multi-static integrated sensing and communication (ISAC) systems, where multiple sensing receivers (SRs) jointly detect a target using random unknown communication signals transmitted by a collaborative base station. Unlike traditional active detection, the considered passive detection does not require complete prior knowledge of the transmitted communication signals at each SR. First, we derive a generalized likelihood ratio test detecto…

Examining the Social Communication and Community Engagement of Autistic Adults through an Asynchronous Focus Group
Blade Frisch, Betts Peters, Keith Vertanen
https://arxiv.org/abs/2507.00202

Examining the Social Communication and Community Engagement of Autistic Adults through an Asynchronous Focus Group
Purpose: Little research has explored the communication needs of autistic adults and how their needs differ from those of other disabled populations. Augmentative and Alternative Communication (AAC) can support these communication needs, but more guidance is needed on how to design AAC to support this population. Materials and Methods: We conducted an online, asynchronous, text-based focus group with five autistic adults to explore their social communication and community engagement and how A…

Conclusive Local State Marking: More Nonlocality With No Entanglement
Samrat Sen
https://arxiv.org/abs/2506.09415 https://arxiv.org/p…

Conclusive Local State Marking: More Nonlocality With No Entanglement
Nonlocality exhibited by ensembles of composite quantum states, wherein local operations and classical communication (LOCC) yield suboptimal discrimination probabilities compared to global strategies, is one of the striking nonclassical features of quantum theory. A variant of this phenomenon arises in conclusive local state discrimination, where the correct state must be identified with zero error, albeit allowing for inconclusive outcomes. More recently, the notion of local state marking has …

Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms
Zhiyi Hu, Siyuan Shen, Tommaso Bonato, Sylvain Jeaugey, Cedell Alexander, Eric Spada, Jeff Hammond, Torsten Hoefler
https://arxiv.org/abs/2507.04786

Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms
The NVIDIA Collective Communication Library (NCCL) is a critical software layer enabling high-performance collectives on large-scale GPU clusters. Despite being open source with a documented API, its internal design remains largely opaque. The orchestration of communication channels, selection of protocols, and handling of memory movement across devices and nodes are not well understood, making it difficult to analyze performance or identify bottlenecks. This paper presents a comprehensive anal…

Theoretical Foundations of Waste Factor and Waste Figure with Applications to Fixed Wireless Access and Relay Systems
Nurullah Sevim, Mostafa Ibrahim, Sabit Ekin, Theodore S. Rappaport
https://arxiv.org/abs/2506.08414

Theoretical Foundations of Waste Factor and Waste Figure with Applications to Fixed Wireless Access and Relay Systems
The exponential rise in energy consumption across wireless communication systems, particularly in anticipation of next-generation wireless systems, necessitates rigorous frameworks for evaluating and optimizing energy efficiency. This paper revisits and expands the concept of the Waste Factor (W), or Waste Figure (WF) in decibel scale, as a unifying metric that captures both utilized and wasted power in cascaded communication systems. Building upon its foundation in system-level power modeling,…

Confidence Boosts Trust-Based Resilience in Cooperative Multi-Robot Systems
Luca Ballotta, \'Aron V\'ek\'assy, Stephanie Gil, Michal Yemini
https://arxiv.org/abs/2506.08807

Confidence Boosts Trust-Based Resilience in Cooperative Multi-Robot Systems
Wireless communication-based multi-robot systems open the door to cyberattacks that can disrupt safety and performance of collaborative robots. The physical channel supporting inter-robot communication offers an attractive opportunity to decouple the detection of malicious robots from task-relevant data exchange between legitimate robots. Yet, trustworthiness indications coming from physical channels are uncertain and must be handled with this in mind. In this paper, we propose a resilient prot…

Bipartite entanglement extracted from multimode squeezed light generated in lossy waveguides
Denis A. Kopylov, Torsten Meier, Polina R. Sharapova
https://arxiv.org/abs/2506.09587 …

Bipartite entanglement extracted from multimode squeezed light generated in lossy waveguides
Entangled two-mode Gaussian states constitute an important building block for continuous variable quantum computing and communication protocols and are thus of high demand for many experiments. In this work, we study such kind of states which are extracted from multimode light generated via type-II parametric down-conversion (PDC) in lossy waveguides. For such states, we demonstrate that the squeezing quantifies entanglement and we construct a measurement basis which results in the maximal bipa…

DeepPolar : Breaking the BER-BLER Trade-off with Self-Attention and SMART (SNR-MAtched Redundancy Technique) decoding
Shubham Srivastava, Adrish Banerjee
https://arxiv.org/abs/2506.10166

DeepPolar+: Breaking the BER-BLER Trade-off with Self-Attention and SMART (SNR-MAtched Redundancy Technique) decoding
DeepPolar codes have recently emerged as a promising approach for channel coding, demonstrating superior bit error rate (BER) performance compared to conventional polar codes. Despite their excellent BER characteristics, these codes exhibit suboptimal block error rate (BLER) performance, creating a fundamental BER-BLER trade-off that severely limits their practical deployment in communication systems. This paper introduces DeepPolar+, an enhanced neural polar coding framework that systematicall…

Communication Round and Computation Efficient Exclusive Prefix-Sums Algorithms (for MPI_Exscan)
Jesper Larsson Tr\"aff
https://arxiv.org/abs/2507.04785

Communication Round and Computation Efficient Exclusive Prefix-Sums Algorithms (for MPI_Exscan)
Parallel scan primitives compute element-wise inclusive or exclusive prefix sums of input vectors contributed by $p$ consecutively ranked processors under an associative, binary operator $\oplus$. In message-passing systems with bounded, one-ported communication capabilities, at least $\lceil\log_2 p\rceil$ or $\lceil\log_2 (p-1)\rceil$ communication rounds are required to perform the scans. While there are well-known, simple algorithms for the inclusive scan that solve the problem in $\lceil\l…

Covert Entanglement Generation over Bosonic Channels
Evan J. D. Anderson, Michael S. Bullock, Ohad Kimelfeld, Christopher K. Eyre, Filip Rozp\k{e}dek, Uzi Pereg, Boulat A. Bash
https://arxiv.org/abs/2506.09474

Covert Entanglement Generation over Bosonic Channels
We explore covert entanglement generation over the lossy thermal-noise bosonic channel, which is a quantum-mechanical model of many practical settings, including optical, microwave, and radio-frequency (RF) channels. Covert communication ensures that an adversary is unable to detect the presence of transmissions, which are concealed in channel noise. We show that a $\textit{square root law}$ (SRL) for covert entanglement generation similar to that for classical: $L_{\rm EG}\sqrt{n}$ entangled b…

Analyzing the performance of a V2X-enhanced braking system in real-world crash situations
Jan Zimmermann, J\"org M\"onnich, Michael Scherl, Ignacio Llatser, Florian Wildsch\"utte, Frank Hofmann
https://arxiv.org/abs/2506.10535

Analyzing the performance of a V2X-enhanced braking system in real-world crash situations
By using an automated braking system, such as the Automatic Emergency Brake (AEB), crashes can be avoided in situations where the driver is unaware of an imminent collision. However, conventional AEB systems detect potential collision adversaries with onboard sensor systems, such as radars and cameras, that may fail in non-line-of-sight situations. By leveraging vehicle-to-everything (V2X) communication, information regarding an approaching vehicle can be received by the ego vehicle at an early…

Downlink CSIT under Compressed Feedback: Joint vs. Separate Source-Channel Coding
Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai, Giuseppe Caire
https://arxiv.org/abs/2506.10554

Downlink CSIT under Compressed Feedback: Joint vs. Separate Source-Channel Coding
The acquisition of Downlink (DL) channel state information at the transmitter (CSIT) is known to be a challenging task in multiuser massive MIMO systems when uplink/downlink channel reciprocity does not hold (e.g., in frequency division duplexing systems). From a coding viewpoint, the DL channel state acquired at the users via DL training can be seen as an information source that must be conveyed to the base station via the UL communication channels. The transmission of a source through a chann…

Receiving RISs: Enabling Channel Estimation and Autonomous Configuration
George C. Alexandropoulos, Konstantinos D. Katsanos, Evangelos Vlachos
https://arxiv.org/abs/2506.10662

Receiving RISs: Enabling Channel Estimation and Autonomous Configuration
This chapter focuses on a hardware architecture for semi-passive Reconfigurable Intelligent Surfaces (RISs) and investigates its consideration for boosting the performance of Multiple-Input Multiple-Output (MIMO) communication systems. The architecture incorporates a single or multiple radio-frequency chains to receive pilot signals via tunable absorption phase profiles realized by the metasurface front end, as well as a controller encompassing a baseband processing unit to carry out channel es…

Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
Shuangyang Li, Fan Liu, Yifeng Xiong, Weijie Yuan, Baoming Bai, Christos Masouros, Giuseppe Caire
https://arxiv.org/abs/2506.09931

Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
In this paper, we provide an analytical study of single-carrier faster-than-Nyquist (FTN) signaling for integrated sensing and communications (ISAC). Our derivations show that FTN is advantageous for ISAC, and reveal new insights that these advantages come from the fact that FTN signaling can effectively avoid the spectral aliasing due to the mismatch between the symbol rate and the bandwidth of the shaping pulse. Specifically, the communication spectral efficiency advantages of FTN signaling o…

Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning
Jian Kai, Tianwei Zhang, Zihan Ling, Yang Cao, Can Shen
https://arxiv.org/abs/2507.05785

Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning
Accurate bandwidth estimation (BWE) is critical for real-time communication (RTC) systems. Traditional heuristic approaches offer limited adaptability under dynamic networks, while online reinforcement learning (RL) suffers from high exploration costs and potential service disruptions. Offline RL, which leverages high-quality data collected from real-world environments, offers a promising alternative. However, challenges such as out-of-distribution (OOD) actions, policy extraction from behavior…

Secure Communication of UAV-mounted STAR-RIS under Phase Shift Errors
Aseel Qsibat, Habiba Akhleifa, Abdelhamid Salem, Khaled Rabie, Xingwang Li, Thokozani Shongwe, Mohamad A. Alawad, Yazeed Alkhrijah
https://arxiv.org/abs/2507.06048

Secure Communication of UAV-mounted STAR-RIS under Phase Shift Errors
This paper investigates the secure communication capabilities of a non-orthogonal multiple access (NOMA) network supported by a STAR-RIS (simultaneously transmitting and reflecting reconfigurable intelligent surface) deployed on an unmanned aerial vehicle (UAV), in the presence of passive eavesdroppers. The STAR-RIS facilitates concurrent signal reflection and transmission, allowing multiple legitimate users-grouped via NOMA-to be served efficiently, thereby improving spectral utilization. Each…

Adaptive Communication Through Exploiting RIS, SSK, and CIM for Improved Reliability and Efficiency
Ferhat Bayar, Onur Salan, Erdogan Aydin, Haci Ilhan
https://arxiv.org/abs/2507.05813

Adaptive Communication Through Exploiting RIS, SSK, and CIM for Improved Reliability and Efficiency
In this paper, we present a novel communication system model that integrates reconfigurable intelligent surfaces (RIS), spatial shift keying (SSK), and code index modulation (CIM) based on Hadamard coding called RIS based transmit SSK-CIM (RIS-CIM-TSSK). By leveraging RIS, the system adapts rapidly to dynamic environments, enhancing error rates and overall reliability. SSK facilitates the transmission of additional passive information while eliminating the need for multiple radio frequency (RF)…

UAV-Assisted Integrated Communication and Over-the-Air Computation with Interference Awareness
Xunqiang Lan, Xiao Tang, Ruonan Zhang, Bin Li, Yichen Wang, Dusit Niyato, Zhu Han
https://arxiv.org/abs/2507.04807

UAV-Assisted Integrated Communication and Over-the-Air Computation with Interference Awareness
Over the air computation (AirComp) is a promising technique that addresses big data collection and fast wireless data aggregation. However, in a network where wireless communication and AirComp coexist, mutual interference becomes a critical challenge. In this paper, we propose to employ an unmanned aerial vehicle (UAV) to enable integrated communication and AirComp, where we capitalize on UAV mobility with alleviated interference for performance enhancement. Particularly, we aim to maximize th…

You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication
Di Wu, Zhuoyin Dai, Yong Zeng
https://arxiv.org/abs/2507.03589

You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication
As one of the key usage scenarios for the sixth generation (6G) wireless networks, integrated sensing and communication (ISAC) provides an efficient framework to achieve simultaneous wireless sensing and communication. However, traditional wireless sensing techniques mainly rely on the line-of-sight (LoS) assumptions, i.e., the sensing targets are directly visible to both the sensing transmitter and receiver. This hinders ISAC systems to be applied in complex environments such as the urban low-…

A Flexible Design Framework for Integrated Communication and Computing Receivers
Kuranage Roche Rayan Ranasinghe, Kengo Ando, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Takumi Takahashi, Marco Di Renzo, David Gonz\'alez G
https://arxiv.org/abs/2506.05944

A Flexible Design Framework for Integrated Communication and Computing Receivers
We propose a framework to design integrated communication and computing (ICC) receivers capable of simultaneously detecting data symbols and performing over-the-air computing (AirComp) in a manner that: a) is systematically generalizable to any nomographic function, b) scales to a massive number of user equipments (UEs) and edge devices (EDs), c) supports the computation of multiple independent functions (streams), and d) operates in a multi-access fashion whereby each transmitter can choose to…

Text-Guided Token Communication for Wireless Image Transmission
Bole Liu, Li Qiao, Ye Wang, Zhen Gao, Yu Ma, Keke Ying, Tong Qin
https://arxiv.org/abs/2507.05781

Text-Guided Token Communication for Wireless Image Transmission
With the emergence of 6G networks and proliferation of visual applications, efficient image transmission under adverse channel conditions is critical. We present a text-guided token communication system leveraging pre-trained foundation models for wireless image transmission with low bandwidth. Our approach converts images to discrete tokens, applies 5G NR polar coding, and employs text-guided token prediction for reconstruction. Evaluations on ImageNet show our method outperforms Deep Source C…

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models
Haoyun Li, Ming Xiao, Kezhi Wang, Robert Schober, Dong In Kim, Yong Liang Guan
https://arxiv.org/abs/2506.05637

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models
Integrated sensing and communication (ISAC) has been envisioned to play a more important role in future wireless networks. However, the design of ISAC networks is challenging, especially when there are multiple communication and sensing (C\&S) nodes and multiple sensing targets. We investigate a multi-base station (BS) ISAC network in which multiple BSs equipped with multiple antennas simultaneously provide C\&S services for multiple ground communication users (CUs) and targets. To enhance the …

This https://arxiv.org/abs/2404.19431 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Toward Practical and Theoretical Integration of Sensing and Communication in URA Systems
This work addresses the problem of integrated sensing and communications (ISAC) involving a massive number of unsourced and uncoordinated users. In the proposed model, known as the unsourced ISAC system (UNISAC), all active communication and sensing users simultaneously share a short frame to transmit their signals without requiring scheduling by the base station or the need to announce their identities. Consequently, the received signal from each user is heavily affected by interference from n…

Flexible MIMO for Future Wireless Communications: Which Flexibilities are Possible?
Zhe Wang, Jiayi Zhang, Bokai Xu, Wenhui Yi, Emil Bj\"ornson, Bo Ai
https://arxiv.org/abs/2506.07599

Flexible MIMO for Future Wireless Communications: Which Flexibilities are Possible?
To enable next-generation wireless communication networks with modest spectrum availability, multiple-input multiple-output (MIMO) technology needs to undergo further evolution. In this paper, we introduce a promising next-generation wireless communication concept: flexible MIMO technology. This technology represents a MIMO technology with flexible physical configurations and integrated applications. We categorize twelve representative flexible MIMO technologies into three major classifications…