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.

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GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing
May 26, 2026Tamerlan Aghayev, Maxime Elkael, Michele Polese +116G Networks Wireless Communications
Institute for Intelligent Networked Systems at Northeastern University, Boston, MA.
Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing
May 26, 2026Minh K. Quan, Pubudu N. Pathirana6G Networks Time-Series Causal Discovery
School of Engineering, Deakin University, Geelong VIC 3220, Australia
Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks
May 26, 2026Nguyen Cong Luong, Shaohan Feng, Nguyen Duc Hai +10Reinforcement Learning Transformer-Based RL
Faculty of Computer Science, Phenikaa University, Hanoi 12116, Vietnam · School of Information and Electronic Engineering (Sussex Artificial Intelligence Institute), Zhejiang Gongshang University, Hangzhou 310018, China · Faculty of Artificial Intelligence and Data Science, Phenikaa University, Duong Noi, Hanoi 12116, Vietnam +4
LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability
May 22, 2026Sadjad Alikhani, Akshay Malhotra, Shahab Hamidi-Rad +1Contrastive Learning Representational Similarity Analysis
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281 USA · InterDigital, Inc., USA
Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
May 22, 2026Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang +1LLM Agent Orchestration Wireless Communications
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609 USA · Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695 USA
Optimal Design Framework for Distributed Array Using Magnetically-Actuated Satellite Swarm
May 22, 2026Seang Shim, Yuta Takahashi, Naoto Usami +1Wireless Communications
The Graduate University for Advanced Studies, Sagamihara, Kanagawa 252-5210, Japan · Institute of Science Tokyo, Tokyo 152-8550, Japan · Interstellar Technologies Inc., Hiroo, Hokkaido 089-2113, Japan +1
6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
May 22, 2026Lipeng Dai, Luping Xiang, Kun Yang6G Networks Robot Teleoperation
State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, 210008, China · Institute of Intelligent Networks and Communications (NINE), Nanjing University (Suzhou Campus), Suzhou, 215163, China
A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing
May 21, 2026Wenfeng Wu, Luping Xiang, Kun YangCamera-Radar Fusion Integrated Sensing and Communication
State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, 210008, China · Institute of Intelligent Networks and Communications (NINE) and School of Intelligent Software and Engineering, Nanjing University (Suzhou Campus), Suzhou, 215163, China
Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology
May 21, 2026Christo Kurisummoottil Thomas, Emilio Calvanese StrinatiDistribution Shift Robustness Wireless Communications
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA · CEA-Leti, Grenoble, France
TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems
May 20, 2026Sige Liu, Kezhi WangSemantic Communication Task-Oriented Semantic Communication
Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, U.K.
From Automated to Autonomous: Hierarchical Agent-native Network Architecture (HANA)
May 20, 2026Binghan Wu, Shoufeng Wang, Yunxin Liu +3Multi-Agent Orchestration Wireless Communications
AsiaInfo Technologies Limited, Beijing, China · Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China · Verimag, Universit´e Grenoble Alpes, Grenoble, France
When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System
May 19, 2026Deemah H. Tashman, Soumaya CherkaouiWireless Communications Robust RL
Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada
PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels
May 19, 2026Berkay Guler, Giovanni Geraci, Hamid JafarkhaniRepresentation Learning Masked Autoencoders
Center for Pervasive Communications and Computing, University of California, Irvine CA, USA · Nokia and Universitat Pompeu Fabra, Spain
Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence
May 17, 2026Junaid Sajid, Sheikh Salman Hassan, Wenshuai Liu +76G Networks Wireless Communications
Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology (TalTech), 19086 Tallinn, Estonia · Institute for Imaging, Data and Communication (IDCoM), The University of Edinburgh, Edinburgh EH9 3BF, United Kingdom · School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, 214122, China +5
Transformer-Based MCS Prediction for 5G Multicast-Broadcast Services (MBS)
May 16, 2026Kasidis Arunruangsirilert, Jiro KattoWireless Communications
Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan
MAxLM: Multi-Agent Language Model-Based Scheduling and Resource Allocation in MU-MIMO-OFDMA-Enabled Wireless Networks
May 15, 2026Adnan Quadri, Hongxiang LiWireless Communications Wireless Resource Allocation
Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA
GeoGS-CE: Learning Delay--Beam Channel Priors with 3D Gaussians for High-Mobility Scenarios
May 15, 2026Yumeng Zhang, Jiajia Guo, Chaozheng Wen +2Wireless Communications Radio Propagation Modeling
iComAI Lab, HKUST
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
May 15, 2026Chaoqun You, Yueyue Dai, Xingqiu He +3Multi-Agent System Optimization Large Language Model-Guided Optimization
Fudan University · Huazhong University of Science and Technology · University of Surrey +1
TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices
May 15, 2026Hao Wang, Kuang Zhang, Yonggang Chi +3Efficient Inference Internet of Things
Operator-Controlled 6G: From Connectivity Infrastructure to Guaranteed Digital Services
May 15, 2026David Soldani6G Networks Wireless Communications
Rakuten Mobile Inc., Tokyo 158-0094, Japan
Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Models
May 14, 2026Swadhin Pradhan, Shazal Irshad, Jerome HenryWireless Foundation Models Wireless Communications
Cisco Systems
PRB-RUPFormer: A Recursive Unified Probabilistic Transformer for Residual PRB Forecasting
May 14, 2026Saad Masrur, Yuxuan Jiang, Matti Hiltunen +2Multivariate Time Series Forecasting Wireless Communications
AT&T RAN Technology, Bedminster, NJ · Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC
Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
May 14, 2026Mehrdad Momen-Tayefeh, Mehrshad Momen-Tayefeh, Maryam SabbaghianWireless Communications Channel Estimation
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran · Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems
May 14, 2026Wentao Yu, Vincent W. S. WongEnergy-Efficient ML Edge Inference
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
May 12, 2026Mannam Veera Narayana, Rohit Singh, Deepa M. R +1Wireless Communications
Department of Electrical Engineering Indian Institute of Technology Madras Chennai, India 600036
Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
May 12, 2026Dmitry Artemasov, Alexander Shmatok, Kirill Andreev +3Recurrent Transformers Wireless Communications
Center for Next Generation Wireless and IoT, Skolkovo Institute of Science and Technology, Moscow, Russia · Department of IEOR, Indian Institute of Technology Bombay, India · Faculty of Computer and Engineering Sciences, Innopolis University, Innopolis, Russia
A Deep Learning-based Receiver for Asynchronous Grant-Free Random Access in Control-to-Control Networks
May 12, 2026Massimo Battaglioni, Edoardo Carnevali, Dania De Crescenzo +3Wireless Communications
Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy
On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning
May 12, 2026Kexin Zhang, Lixin Li, Yuna Yan +5Semantic Communication Wireless Communications
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China · DecoreX Intelligent Technologies Co., Ltd., Xi’an 710075, China · Samsung AI Center, Cambridge CB1 2JH, UK +2
Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks
May 12, 2026Farooque Hassan Kumbhar, Kapal Dev, Sunder Ali Khowaja +36G Networks Wireless Communications
Augmented Cognition Meta-communications ERC Research Center, Korea University, Korea · Department of Computer Science, Munster Technological University (MTU), Ireland · School of Computing, Faculty of Engineering and Computing, Dublin City University, Ireland +4
U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
May 12, 2026Yichen Zhang, Jun LiLong-Term Time Series Forecasting Time Series Imputation
School of Information Science and Engineering, Southeast University, Nanjing, 210096, CHINA.

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GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing

Tamerlan Aghayev, Maxime Elkael, Michele Polese, Minh Dat Nguyen+10

Institute for Intelligent Networked Systems at Northeastern University, Boston, MA.

6G Networks Wireless Communications Autonomous Experimentation Autonomous Research Agents

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Cellular research and development (R&D) is throttled by six structural processes that each consume months of manual engineering work per iteration: (i) synthesizing new features from standards or research papers into production code; (ii) conformance and interoperability testing; (iii) hardening against field anomalies and diverse deployment environments; (iv) data-driven optimization of network functionalities; (v) discovering and prototyping novel waveforms, functionalities, and capabilities for future standards; and (vi) securing the stack against vulnerabilities. Although Large Language Models (LLMs) have compressed comparable R&D work in general software engineering from days to minutes, their known pitfalls worsen on Radio Access Network (RAN) use cases: they hallucinate Application Programming Interfaces (APIs) and mis-read specifications, which kills interoperability of RAN components at the first mistake, and they heavily rely on simulations for designing algorithms, which is notorious for breaking when transferred to real hardware. To address these challenges, we present GENESIS, an agentic Artificial Intelligence (AI) framework that converts intents (e.g., a specification clause, a telemetry anomaly, or a research hypothesis) into solutions validated with over-the-air experiments, fed back into a persistent knowledge base. GENESIS is built on three composable primitives (agents, skills, hooks) and a knowledge layer (SYNAPSE) that doubles as the source of ground truth and the recipient of every artifact the framework produces, making capabilities compound across runs.

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