6G Networks

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Overview

6G research explores how future mobile networks can support demanding services such as immersive media, industrial control, connected vehicles, and coordinated robots. Work spans radio technologies—including massive MIMO, reconfigurable intelligent surfaces, non-terrestrial links, and integrated sensing and communication—and methods for allocating spectrum, beams, energy, and computing resources. AI approaches range from federated learning and deep reinforcement learning to foundation models and autonomous agents that manage networks through closed-loop control. Many methods show promise in simulations and prototypes, but dependable deployment still depends on balancing latency, energy, security, privacy, and reliability while establishing realistic benchmarks and standards.

Latest papers

CardsList

73 papers4 papers in the last four weeks, down 64% on the four weeks before. 0.0% of all new papers.

  1. A Wireless World Model for AI-Native 6G Networks

    Mar 26, 2026Ziqi Chen, Yi Ren, Yixuan Huang +5Wireless Foundation ModelsWireless Communications

    China Mobile Research Institute, No. 32 Xuan Wu Men West Street, Beijing, 100053, China.

  2. Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks

    Mar 24, 2026Xiaowen Ma, Onur Ayan, Yunpu Ma +1Code GenerationAgentic Code Generation

    Huawei Technologies Duesseldorf GmbH · Ludwig-Maximilians-University Munich

  3. Toward Experimentation-as-a-Service in 5G/6G: The Plaza6G Prototype for AI-Assisted Trials

    Mar 17, 2026Sergio Barrachina-Muñoz, Marc Carrascosa-Zamacois, Horacio Bleda +6Autonomous ExperimentationWireless Communications

    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Barcelona, Spain

  4. End-to-End O-RAN Testbed for Edge-AI-Enabled 5G/6G Connected Industrial Robotics

    Mar 13, 2026Sasa Talosi, Vladimir Vincan, Srdjan Sobot +5Edge Computing6G Networks

    Faculty of Technical Sciences, University of Novi Sad, Serbia · The Institute for Artificial Intelligence Research and Development of Serbia, Serbia

  5. A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications

    Mar 13, 2026Hetong Wang, Yashuai Cao, Tiejun LvWireless CommunicationsReconfigurable Intelligent Surfaces

    School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China · School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China

  6. Federated Learning-driven Beam Management in LEO 6G Non-Terrestrial Networks

    Mar 11, 2026Maria Lamprini Bartsioka, Ioannis A. Bartsiokas, Athanasios D. Panagopoulos +2LEO Satellite Networks6G Networks

  7. Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand

    Mar 10, 2026Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu6G NetworksSpatiotemporal Forecasting

    Communications Research Centre, Ottawa, Ontario, Canada · Carleton University, Ottawa, Ontario, Canada

  8. Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6G

    Mar 10, 2026Loc X. Nguyen, Ji Su Yoon, Huy Q. Le +6Federated Learning6G Networks

    Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, Republic of Korea. · Department of Artificial Intelligence, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, Republic of Korea. · School of Computer Science, The University of Sydney, Australia +1

  9. U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach

    Mar 6, 2026Xiaojie Li, Yu Han, Zhizheng Lu +2Radio Propagation Modeling6G Networks

    School of Information Science and Engineering, Southeast University, Nanjing 210096, China · Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan

  10. How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks

    Mar 2, 2026Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah6G NetworksSmall Language Models

    Department of Computer and Network Engineering, United Arab Emirates University, UAE · Research Institute for Digital Future, Khalifa University, UAE

  11. Performance Comparison of IBN orchestration using LLM and SLMs

    Feb 27, 2026Wai Lwin Phone, Brahim El Boudani, Tasos Dagiuklas +1Intent-Based NetworkingMulti-Agent Orchestration

    Dept. of Computer Science & Digital Technologies, London South Bank University, London, UK · Digital Catapult, London, UK

  12. Agentic Wireless Communication for 6G: Intent-Aware and Continuously Evolving Physical-Layer Intelligence

    Feb 19, 2026Zhaoyang Li, Xingzhi Jin, Junyu Pan +2Wireless Communications6G Networks

    College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.

  13. Reasoning-Native Agentic Communication for 6G

    Feb 19, 2026Hyowoon Seo, Joonho Seon, Jin Young Kim +3Multi-Agent Communication6G Networks

    Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, South Korea · Department of Electronic Convergence Engineering, Kwangwoon University, Seoul 01897, South Korea · Faculty of Information Technology and Electrical Engineering, Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland +1