Wireless Resource Allocation

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Overview

Wireless resource allocation decides how limited spectrum, transmission power, time slots, beams, and edge-computing capacity are shared among users and tasks, often under interference and changing channel conditions. Classical methods use convex or mixed-integer optimization, auctions, and scheduling rules; newer work applies bandits, deep and multi-agent reinforcement learning, graph neural networks, and generative models to make decisions quickly in settings such as cellular and O-RAN networks, vehicular and UAV links, reconfigurable intelligent surfaces, and wireless federated learning. These methods increasingly coordinate multiple resources and objectives, including quality of service, fairness, energy use, sensing accuracy, and learning performance. A central challenge is making learned policies generalize across network sizes, mobility, and hardware while enforcing hard constraints and remaining reliable, interpretable, and fast enough for real deployments.

Latest papers

CardsList

175 papers18 papers in the last four weeks, down 5% on the four weeks before. 0.1% of all new papers.

  1. Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel

    Apr 17, 2026Marcin Hoffmann, Paweł KryszkiewiczWireless CommunicationsWireless Resource Allocation

    Institute of Radiocommunications, Poznan University of Technology, Poznan, Poland · Rimedo Labs, Poznań Poland

  2. Multi-User mmWave Beam and Rate Adaptation via Combinatorial Satisficing Bandits

    Apr 16, 2026Emre Özyıldırım, Barış Yaycı, Umut Eren Akturk +1Multi-Armed BanditsCombinatorial Semi-Bandits

    Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Türkiye

  3. Aerial Multi-Functional RIS in Fluid Antennas-Aided Full-Duplex Networks: A Self-Optimized Hybrid Deep Reinforcement Learning Approach

    Apr 15, 2026Li-Hsiang Shen, Yu-Quan ZhengHybrid Action Space RLWireless Communications

    Department of Communication Engineering, National Central University, Taoyuan 320317, Taiwan

  4. Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems

    Apr 8, 2026Charbel Bou Chaaya, Mehdi BennisEquivariant Policy LearningReinforcement Learning

    The authors are with the Centre for Wireless Communications, University of Oulu, Finland

  5. A Graph Foundation Model for Wireless Resource Allocation

    Apr 8, 2026Yucheng Sheng, Jiacheng Wang, Le Liang +2Wireless Resource AllocationWireless Foundation Models

    National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China · Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA 95064, USA

  6. Graph Signal Diffusion Models for Wireless Resource Allocation

    Apr 6, 2026Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti +1Wireless Resource AllocationDiffusion Policy

    Dept. of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA

  7. Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors

    Apr 6, 2026Hieu Le, Mostafa Ibrahim, Oguz Bedir +2Reconfigurable Intelligent SurfacesHierarchical RL

    Electrical and Computer Engineering Texas A&M University College Station, Texas, USA · Engineering Technology and Industrial Distribution Texas A&M University College Station, Texas, USA · School of Performance, Visualization, and Fine Arts Texas A&M University College Station, Texas, USA

  8. Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access

    Apr 6, 2026Darian Perez-Adan, Jose P. Gonzalez-Coma, F. Javier Lopez-Martinez +1Wireless CommunicationsWireless Resource Allocation

    Department of Computer Engineering, University of A Coruña, CITIC, A Coruña, Spain · Defense University Center at the Spanish Naval Academy, Marín, Spain · Dept. Signal Theory, Networking and Communications, Research Centre for Information and Communication Technologies (CITIC-UGR), University of Granada, 18071, Granada, Spain

  9. Restless Bandits with Individual Penalty Constraints: Near-Optimal Indices and Deep Reinforcement Learning

    Apr 5, 2026Nida Zamir, I-Hong HouMulti-Armed BanditsSequential Decision Making

    Texas A&M University, College Station, Texas, USA

  10. Latency-Aware Resource Allocation over Heterogeneous Networks: A Lorentz-Invariant Market Mechanism

    Apr 4, 2026Saad AlqithamiMechanism DesignWireless Resource Allocation

  11. Agentic AI-Empowered Wireless Agent Networks With Semantic-Aware Collaboration via ILAC

    Apr 1, 2026Zhouxiang Zhao, Jiaxiang Wang, Zhaohui Yang +4Wireless CommunicationsMulti-Agent Communication

    College of Information Science and Electronic Engineering, Zhejiang University, and also with Zhejiang Provincial Key Laboratory of Info. Proc., Commun. & Netw. (IPCAN), Hangzhou 310027, China · Department of Engineering, King’s College London, London, WC2R 2LS, UK · Department of Electrical and Computer Engineering and Institute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA +1

  12. Adversarial Attacks in AI-Driven RAN Slicing: SLA Violations and Recovery

    Apr 1, 2026Deemah H. Tashman, Soumaya CherkaouiAdversarial AttacksNetwork Slicing

    Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada

  13. Trustworthy AI-Driven Dynamic Hybrid RIS: Joint Optimization and Reward Poisoning-Resilient Control in Cognitive MISO Networks

    Mar 27, 2026Deemah H. Tashman, Soumaya CherkaouiWireless CommunicationsReconfigurable Intelligent Surfaces

    LINCS Laboratory, Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada, H3T 1J4

  14. Beyond Freshness and Semantics: A Coupon-Collector Framework for Effective Status Updates

    Mar 27, 2026Youssef Ahmed, Arnob Ghosh, Chih-Chun Wang +1Age of InformationWireless Resource Allocation

    Department of ECE, The Ohio State University, Columbus, OH, USA · Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA · Elmore Family School of ECE, Purdue University, West Lafayette, IN, USA +1

  15. GAN-Enhanced Deep Reinforcement Learning for Semantic-Aware Resource Allocation in 6G Network Slicing

    Mar 27, 2026Daniel Benniah JohnNetwork SlicingWireless Resource Allocation

    University of California, Berkeley, CA, USA

  16. Cooperative Deep Reinforcement Learning for Fair RIS Allocation

    Mar 26, 2026Martin Mark Zan, Stefan SchwarzWireless Resource AllocationFair Resource Allocation

    Institute of Telecommunications, TU Wien, Vienna, Austria

  17. Spatio-Temporal Attention Enhanced Multi-Agent DRL for UAV-Assisted Wireless Networks with Limited Communications

    Mar 23, 2026Che Chen, Lanhua Li, Shimin Gong +3Spatio-Temporal AttentionMulti-Agent Reinforcement Learning

    School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518000, China, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China · Department of Equipment Management and Unmanned Aerial Vehicle Engineering, Air Force Engineering University, Xi’an · School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang 330032, China +1

  18. Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems

    Mar 22, 2026Haidong Wang, Songhan Zhao, Bo Gu +3Joint Source-Channel CodingSemantic Communication

    School of Intelligent Systems Engineering, Sun Yat-sen University, China · Department of Electrical and Computer Engineering, University of Hong Kong, HongKong, SAR, China · Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Canada

  19. Deep Adaptive Rate Allocation in Volatile Heterogeneous Wireless Networks

    Mar 21, 2026Gregorio Maglione, Veselin Rakocevic, Markus Amend +1Wireless Resource Allocation

    Department of Engineering, City St George’s, University of London, London EC1V 0HB, United Kingdom · Deutsche Telekom, Darmstadt, Germany

  20. Hetero-Net: An Energy-Efficient Resource Allocation and 3D Placement in Heterogeneous LoRa Networks via Multi-Agent Optimization

    Mar 20, 2026Abdullahi Isa Ahmed, Ana Maria Drăgulinescu, El Mehdi AmhoudWireless CommunicationsWireless Resource Allocation

    College of Computing, Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco. · Telecommunications Department, Politehnica Bucharest, Bucharest, Romania.

  21. BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding

    Mar 19, 2026Xiucheng Wang, Yue Zhang, Nan ChengWireless Resource AllocationLarge Language Model-Guided Optimization

    State Key Laboratory of ISN and School of Telecommunications Engineering, Xidian University, Xi’an 710071, China

  22. Learn for Variation: Efficient AAV Trajectory Learning through a Differentiable Wireless World Model

    Mar 19, 2026Xiucheng Wang, Zhenye Chen, Nan Cheng +2UAV Trajectory OptimizationModel-Based RL

    State Key Laboratory of ISN and School of Telecommunications Engineering, Xidian University, Xi’an 710071, China · School of Aerospace Science and Technology, Xidian University, Xi’an 710071, China · Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, N2L 3G1, Canada

  23. Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems

    Mar 17, 2026Marios Aristodemou, Yasaman Omid, Sangarapillai Lambotharan +2Wireless CommunicationsProximal Policy Optimization

    Department of Computer Science, University of York, York, U.K. · Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, U.K. · Institute for Digital Technologies, Loughborough University (London Campus), London, U.K. +1

  24. A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints

    Mar 17, 2026Yikun Wang, Yang Li, Yik-Chung Wu +1Wireless Resource AllocationWireless Communications

    Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong · School of Computing and Information Technology, Great Bay University, Dongguan 523000, China · Department of Electrical and Computer Engineering, National University of Singapore, Singapore

  25. Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks

    Mar 13, 2026Yunting Xu, Jiacheng Wang, Ruichen Zhang +6Communication-Efficient Collaborative PerceptionCooperative Perception

    College of Computing and Data Science, Nanyang Technological University, Singapore, 639798 · Alibaba Cloud, Hangzhou, China, 311121 · School of Electronic Science and Engineering, Nanjing University, Nanjing, China, 210023 +1

  26. JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning

    Mar 13, 2026Islam Guven, Mehmet ParlakIntegrated Sensing and CommunicationWireless Resource Allocation

    ICTEAM, Université catholique de Louvain Ottignies-Louvain-la-Neuve, Belgium

  27. 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

  28. Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks

    Mar 11, 2026Mohamad Alkadamani, Amir Ghasemi, Halim YanikomerogluHierarchical GNNsWireless Communications

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

  29. Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning

    Mar 11, 2026Yiyang Yue, Jiacheng Yao, Wei Xu +3Federated LearningCommunication-Efficient Distributed Training

    National Mobile Communications Research Laboratory (NCRL), Southeast University, Nanjing 210096, China · Purple Mountain Laboratories, Nanjing 211111, China · Zhejiang Lab, Hangzhou 311121, China +3

  30. AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation

    Mar 10, 2026Colin Brown, Mohamad Alkadamani, Halim YanikomerogluWireless CommunicationsWireless Resource Allocation

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