Wireless Communications

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Overview

Wireless communications studies how transmitters and receivers exchange information despite noise, interference, mobility, and limited spectrum and power. Physical-layer work develops channel estimation, beamforming, modulation, coding, and signal detection, using tools such as ray tracing, deep learning, and reconfigurable intelligent surfaces. At the network level, researchers use optimization, bandits, and reinforcement learning for scheduling, routing, handover, and resource allocation across cellular, Wi-Fi, satellite, and UAV systems; newer work also explores integrated sensing and communication and semantic transmission. Results are tested in standards-based channel simulations, ray-traced environments, and real testbeds, but generalization across hardware and settings, deployment cost, and the gap between simulated and operational performance remain central challenges.

Latest papers

CardsList

403 papers40 papers in the last four weeks, down 17% on the four weeks before. 0.2% of all new papers.

  1. Measurement-Driven Early Warning for Resilient 5G NSA Railway Networks

    Nov 12, 2025Po-Heng Chou, Da-Chih Lin, Hung-Yu Wei +2Wireless CommunicationsForecasting Benchmarks

    Research Center for Information Technology Innovation (CITI), Academia Sinica (AS), Taipei 11529, Taiwan · Bradley Department of Electrical and Computer Engineering (ECE), Virginia Tech (VT), Alexandria, VA 22305, USA · Department of Electrical Engineering, National Taiwan University (NTU), Taipei 10617, Taiwan

  2. Energy Overhead in Sensor Nodes: Embedded Machine Learning and Data Offloading via Low Power Wide Area Networks

    Oct 28, 2025Benjamin Karic, Nina Herrmann, Jan Stenkamp +3Internet of ThingsEnergy-Efficient ML

    University of Münster · re:edu GmbH & Co. KG

  3. Differential Privacy as a Perk: Federated Learning over Multiple-Access Fading Channels with a Multi-Antenna Base Station

    Oct 27, 2025Hao Liang, Haifeng Wen, Kaishun Wu +2Personalized Differential PrivacyOver-the-Air Federated Learning

    IoT Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · Department of ECE, The Hong Kong University of Science and Technology, HK SAR

  4. LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach

    Oct 13, 2025Renxuan Tan, Rongpeng Li, Fei Wang +4Agentic RLStackelberg Games

    College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China · Huawei Technologies Company Ltd., Shanghai 210026, China · Zhejiang Lab as well as Zhejiang University, Hangzhou 310027, China +1

  5. LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks

    Jul 23, 2025Lijie Zheng, Ji He, Shih Yu Chang +1Trajectory OptimizationWireless Communications

    School of Computer Science and Technology, Xidian University, Xi’an, 710071 China · Department of Applied Data Science, San Jose State University, San Jose, CA, U. S. A.

  6. MILAAP: Mobile Link Allocation via Attention-based Prediction

    Jun 24, 2025Yung-Fu Chen, Anish AroraSelf-AttentionWireless Communications

    The Ohio State University, Columbus, OH 43210, USA

  7. GeNeRT: A Physics-Informed Approach to Intelligent Wireless Channel Modeling via Generalizable Neural Ray Tracing

    Jun 23, 2025Kejia Bian, Meixia Tao, Shu Sun +2Neural Network GeneralizationWireless Communications

    School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China · Shanghai Innovation Institute, Shanghai 200231, China

  8. In-Context Learning for MIMO Turbo Receivers

    May 9, 2025Zihang Song, Matteo Zecchin, Bipin Rajendran +2Wireless CommunicationsIn-Context Learning

    The authors are with the Centre for Intelligent Information Processing Systems (CIIPS), Department of Engineering, King’s College London, London WC2R 2LS, U.K.

  9. Sionna RT: Technical Report

    Apr 30, 2025Fayçal Aït Aoudia, Jakob Hoydis, Merlin Nimier-David +3Differentiable Ray TracingWireless Communications

  10. Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding

    Mar 23, 2025Selim F. Yilmaz, Can Karamanli, Deniz GunduzWireless CommunicationsJoint Source-Channel Coding

    Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom. · School of Biomedical Engineering & Imaging Sciences, King’s College London, United Kingdom.

  11. Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications

    Jan 28, 2025Hanju Yoo, Dongha Choi, Yonghwi Kim +4Semantic CommunicationWireless Communications

    School of Integrated Technology, Yonsei University, Seoul 03722, South Korea · Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA

  12. DRL-AdaPart: DRL-Driven Adaptive STAR-RIS Partitioning for Fair and Efficient Resource Utilization

    Jul 9, 2024Ashok S. Kumar, Nancy Nayak, Sheetal Kalyani +2Reconfigurable Intelligent SurfacesFair Resource Allocation

    Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India · Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom · Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka +1

  13. EM-GANSim: Real-time and Accurate EM Simulation Using Conditional GANs for 3D Indoor Scenes

    May 27, 2024Ruichen Wang, Dinesh ManochaWireless CommunicationsRadio Propagation Modeling

    Department of Computer Science and the Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742 USA