Wireless Communications

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27 papers in the last four weeks, up 170% on the four weeks before. 0.3% of all new papers.

Jul 13Week of Sep 28

Latest papers 255

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Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
May 12, 2026Zijiang Yan, Hao Zhou, Wael Jaafar +4Multi-Objective Reinforcement Learning Language Model-Based Control
xApp Empowered Resource Management for Non-Terrestrial Users in 5G O-RAN Networks
May 11, 2026Mohammed M. H. Qazzaz, Syed Ali Zaidi, Aubida A. Al-Hameed +2Wireless Communications Open Radio Access Network
School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK · College of Electronics Engineering, Ninevah University, Mosul, Iraq
ChannelKAN: Multi-Scale Dual-Domain Channel Prediction via Hybrid CNN-KAN Architecture
May 11, 2026Nanqing Jiang, Zhangyao Song, Tao Guo +2Frequency-Domain Feature Learning Wireless Communications
School of Cyber Science and Engineering, Southeast University, Nanjing, China
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
May 11, 2026Xijun Wang, Zhaoyang Liu, Chenyuan Feng +36G Networks Wireless Communications
Sun Yat-sen University, China · University of Exeter, U.K. · Zhejiang University, China +2
Generalization Bounds of Emergent Communications for Agentic AI Networking
May 9, 2026Yong Xiao, Jingxuan Chai, Guangming Shi +16G Networks Information Bottleneck
School of Elect. Inform. & Commun., Huazhong Univ. of Science & Technology, China · School of Artificial Intelligence, Xidian University, Xi’an, China · Peng Cheng Laboratory, Shenzhen, China +1
PropSplat: Map-Free RF Field Reconstruction via 3D Gaussian Propagation Splatting
May 8, 2026William Bjorndahl, Maninder Pal Singh, Farhad Nouri +13D Gaussian Splatting Wireless Communications
Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, USA · Department of Engineering Technology, University of Houston, Houston, TX, USA
Differentiable Ray Tracing with Gaussians for Unified Radio Propagation Simulation and View Synthesis
May 8, 2026Niklas Vaara, Lam Huynh, Pekka Sangi +23D Gaussian Splatting Differentiable Rendering
Center for Machine Vision and Signal Analysis, University of Oulu, Finland · CubiCasa Oy, Finland
How Big Should a Wireless Foundation Model Be?
May 8, 2026Wei-Lun Cheng, Wanjiun LiaoWireless Foundation Models Wireless Communications
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
May 8, 2026Hao Chen, Zavareh BozorgaslFederated Learning Aggregation Wireless Communications
Signal, Communication, and Learning Lab (SCALE Lab), Department of Electrical and Computer Engineering, Boise State University, Boise, ID 83712 USA
Real-world Latency Analysis of Vehicular Visible Light Communication with Multiple LED Transmitters and an Event-Based Camera
May 7, 2026Ryota Soga, Tsukasa Shimizu, Shintaro Shiba +3Event-Based Vision Wireless Communications
Graduate School of Engineering, Nagoya University, Nagoya, Japan · TOYOTA MOTOR CORPORATION, Toyota, Japan · Woven by Toyota, Inc., Tokyo, Japan
Look Once, Beam Twice: Camera-Primed Real-Time Double-Directional mmWave Beam Management for Vehicular Connectivity
May 6, 2026Avhishek Biswas, Apala Pramanik, Eylem Ekici +1Wireless Communications V2X Communication
School of Computing, University of Nebraska–Lincoln, Lincoln, NE, USA · Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management
May 4, 2026Ahmad M. Nazar, Abdulkadir Celik, Asmaa Abdallah +3Adaptive Model Routing Wireless Communications
Department of Electrical and Computer Engineering, Iowa State University (ISU), Ames, IA, 50014, USA · Gladiolus Technological Institute, USA · School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K. +2
Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
May 4, 2026Zhenyu Liu, Yi Ma, Rahim TafazolliSafety-Critical Control AI Agent Safety
6GIC, Institute for Communication Systems, University of Surrey, Guildford, United Kingdom, GU2 7XH
Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks
May 4, 2026Po-Heng Chou, Chiapin Wang, Chung-Chi Huang +1Multi-Objective Reinforcement Learning Deep Q-Learning
Research Center for Information Technology Innovation (CITI), Academia Sinica (AS), Taipei 11529, Taiwan · Department of Electrical Engineering, National Taiwan Normal University (NTNU), Taipei 106308 Taiwan
Spatial-Temporal Learning-Based Distributed Routing for Dynamic LEO Satellite Networks
May 4, 2026Po-Heng Chou, Chiapin Wang, Shou-Yu Chen +1Deep Q-Learning Partially Observable RL
Research Center for Information Technology Innovation (CITI), Academia Sinica (AS), Taipei 11529, Taiwan · Department of Electrical Engineering, National Taiwan Normal University (NTNU), Taipei 106308 Taiwan
SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation
May 3, 2026Shengzhe Lyu, Yuhan She, Di Duan +5Wireless Communications Hardware-Software Co-Design
Department of Computer Science, City University of Hong Kong, Hong Kong · Department of Electrical Engineering, City University of Hong Kong, Hong Kong · Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong +2
PPO-Based Dynamic Positioning of HAPS-BS in Wind-Disturbed Stratospheric Maritime Networks
May 3, 2026Azim Akhtarshenas, German Svistunov, Matteo Bernabè +2Wireless Communications
Universitat Politècnica de València (UPV), Spain · Beihang University, China · Beihang Valencia Polytechnic Institute (BVPI), China
Data driven approach for Outdoor Channel Prediction in 5G and Beyond
May 3, 2026A. Sathi Babu, V. Udaya Sankar, Vishnu Ram OVWireless Communications Channel Estimation
Department of ECE SRM University AP Guntur, India · Independent Research Consultant Bengaluru, India
Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection
May 3, 2026Samhita Kuili, Mohammadreza Amini, Burak KantarciWireless Communications Privacy-Preserving ML
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada
6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
May 2, 2026Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah6G Networks LLM Agent Orchestration
Department of Computer and Network Engineering, United Arab Emirates University, UAE · Research Institute for Digital Future, Khalifa University, UAE
Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach
May 2, 2026Changpeng He, Yang Lu, Wei Chen +3Reconfigurable Intelligent Surfaces Wireless Communications
State Key Laboratory of Advanced Rail Autonomous Operation, and also with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing 100044, China · School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · School of Electronic Engineering and Computer Science, Queen Mary University of London, London +2
Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models
May 1, 2026Chenyu Zhang, Xinchen Lyu, Chenshan Ren +4Rotary Positional Embeddings Wireless Foundation Models
National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China · Department of Broadband Communication, Pengcheng Laboratory, Shenzhen 518055, China · Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing 100081, China +1
LLM-assisted gNB Parameter Configuration for Radio Access Network
May 1, 2026Yao-Cong Dong, Maria Amparo Canaveras Galdon, Ari Uskudar +3LLM Fine-Tuning Wireless Communications
Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taiwan · NVIDIA, USA · Colorado State University, USA
Utility-Aware DRL-Based TXOP Adaptation for NR-U and Wi-Fi Coexistence Networks
May 1, 2026Po-Heng Chou, Yi-Fang Yu, Shou-Yu Chen +1Wireless Communications Wireless Resource Allocation
Research Center for Information Technology Innovation (CITI), Academia Sinica (AS), Taipei 11529, Taiwan · Department of Electrical Engineering, National Taiwan Normal University (NTNU), Taipei 10610 Taiwan
Soft Graph Diffusion Transformer for MIMO Detection
May 1, 2026Nan Jiang, Jiadong Hong, Lei Liu +3Diffusion Transformer Wireless Communications
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China · Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd., Hong Kong, China
Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach
Apr 30, 2026Sivaram Krishnan, Bassel Al Homssi, Zhouyou Gu +3Graph Neural Networks Wireless Communications
School of Electrical and Mechanical Engineering, University of Adelaide, Adelaide 5000, Australia
Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies
Apr 29, 2026Baktash Behmanesh, Ahmad RezvanitabarWireless Communications
Department of Electrical and Information Technology, Lund University, Lund, 221 00, Sweden · School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
Apr 28, 2026Haoran Wan, Yaxiong Xie, Kyle JamiesonWireless Communications Wireless Resource Allocation
Princeton University · University at Buffalo, SUNY
Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation
Apr 28, 2026Yongtao Yao, Wenjing Xiao, Miaojiang Chen +5Edge Computing Wireless Communications
Multi-Periodogram Velocity Estimation with Irregular Reference Signals for Robot-Aided ISAC
Apr 28, 2026Yi Geng, Pan Cao, Ting Zeng +1Integrated Sensing and Communication Wireless Communications
Cictmobile, China · University of Hertfordshire, UK · Beihang University, China +1

May 12, 2026, cs.AIJ/K move · Enter open · S save

Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity

Zijiang Yan, Hao Zhou, Wael Jaafar, Jianhua Pei+3

Multi-Objective Reinforcement Learning Language Model-Based Control UAV Navigation Multi-Agent Control Wireless Communications

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Uncrewed aerial vehicles (UAVs) are increasingly deployed in complex networked environments, yet the joint optimization of multi-UAV motion control and connectivity remains a fundamental challenge. In this paper, we study a multi-UAV system operating in an integrated terrestrial and non-terrestrial network (ITNTN) comprising terrestrial base stations and high-altitude platform stations (HAPS). We consider a three-dimensional (3D) aerial highway scenario where UAVs must adapt their motion to ensure collision avoidance, efficient traffic flow, and reliable communication under dynamic and partially observable conditions. We first model the problem as a hierarchical multi-objective partially observable Markov decision process (H-MO-POMDP), capturing the coupling between control and communication objectives. Based on this formulation, we propose a large language model (LLM)-driven hierarchical multi-rate control framework. At the global level, an LLM-based controller on the HAPS performs long-term planning for load balancing and handover decisions. At the local level, each UAV employs a hybrid controller that integrates a slow-timescale LLM for high-level spatial reasoning with a reinforcement learning agent for faster UAV-to-infrastructure (U2I) communication and motion control. We further develop a high-fidelity 3D simulation platform by integrating the gym-pybullet-drones environment with 3GPP-compliant RF/THz channel models. Numerical results demonstrate that the proposed framework significantly outperforms state-of-the-art baselines, achieving a 14% increase in transportation efficiency and a 25% improvement in telecommunication throughput. Additionally, it achieves a 23% reduction in physical collision rates, demonstrating strong handover stability and zero-shot generalization in dynamic scenarios.

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