Wireless Resource Allocation

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. Movable-Element Multi-Functional RIS-Assisted Hybrid RSMA-NOMA: A Constrained Hybrid Reinforcement Learning Approach

    Oct 26, 2026Li-Hsiang Shen, Chi-Te KuoReconfigurable Intelligent SurfacesWireless Resource Allocation

  2. Multi-view Semantic-aware Resource Allocation for Edge AI

    Oct 25, 2026Jiawei Luo, Hussein Saleh, Mohamad AssaadWireless Resource AllocationSemantic Communication

  3. Physics-Driven Framework for QoS-Constrained Satellite System with Non-Linear PA Distortion

    Oct 19, 2026Hamza Ahmed Qureshi, Abuzar Babikir Mohammad Adam, Vu Nguyen Ha +2Wireless CommunicationsWireless Resource Allocation

  4. Uncertainty-Aware Federated Learning for Joint Communication and Computation in XR Systems

    Oct 15, 2026Robert-Jeron Reifert, Hayssam Dahrouj, Alaa Alameer Ahmad +2Wireless Resource AllocationDecision-Making under Uncertainty

  5. Analog RF Computing for Integrated Data and AI Flows Over Wireless Networks

    Oct 14, 2026Wentao Yu, Vincent W. S. WongWireless Resource AllocationEdge Computing

  6. Queue-Aware Token Communications: Bridging AI Representation and Wireless Service

    Oct 12, 2026Yuquan Xiao, Qinghe Du, Chaoyang Zhang +4Wireless CommunicationsToken Efficiency

  7. Adaptive Multi-Discriminator WGAN Framework for Resource-Constrained Internet of Vehicles Using Reinforcement Learning and Game Theory

    Oct 7, 2026Farhoud Jafari Kaleibar, Amr M. Zaki, Marin LitoiuGenerative Adversarial NetworksIntelligent Transportation Systems

  8. Foundation Model-Aided Multi-Agent Reinforcement Learning for Wireless Random Access Network Optimization

    Oct 6, 2026Myeung Suk Oh, Zhiyao Zhang, Alvaro Velasquez +2Wireless Resource AllocationDecentralized MARL

  9. Combining Improvements in Uplink AI-RAN

    Oct 5, 2026Petteri Kela, Dani Korpi, Mikko HonkalaWireless CommunicationsWireless Resource Allocation

  10. Multi-Agent Spectrum Sharing

    Oct 3, 2026Job Elliott, Graduate Student Member, IEEE +2Wireless Resource AllocationMulti-Agent Systems

  11. System One Models for Wireless Decision-Making:Applications and Performance Evaluation

    Oct 3, 2026Masoud Rahimi, S. M. Matin Alemohammad, Hamid Behroozi +1Wireless Resource Allocation

  12. RRM-GPT: A Framework and Vision for Radio Resource Management Foundation Models

    Oct 3, 2026Ahmed Aboulfotouh, Akram Bin Sediq, Koosha Pourtahmasi Roshandeh +4Wireless Resource AllocationWireless Foundation Models

  13. Energy Saving in 5G and Beyond Networks: A Quantum Reinforcement Learning Approach

    Oct 1, 2026Muhammad Usman, Nguyen Van Huynh, Marianna Lezzi +1Wireless CommunicationsQuantum RL

  14. Joint Movement and Compression Ratio Design for Mobile Embodied AI Networks (MEAN)

    Oct 1, 2026Yahao Ding, Jiaxiang Wang, Zhouxiang Zhao +3Wireless CommunicationsWireless Resource Allocation

  15. MANET-GNN: Learned Decentralized Optimization of Power Allocation in Multi-Channel MANETs

    Sep 30, 2026Tomer Alter, Nir Shlezinger, Michael SegalGraph Neural NetworksWireless Communications

  16. Deep Learning-Based Tri-Hybrid Multi-User MIMO Precoding: The Blessing of EM-Reconfigurable Antennas

    Sep 30, 2026Kaijun Feng, Jiaxin He, Hongrui Yu +4Wireless CommunicationsWireless Resource Allocation

  17. LLM-Based Multi-Agent Systems over Wireless Networks: A Joint Agent--Network Design Perspective

    Sep 29, 2026Chao Hu, Yuan Guo, Guanlin Wu +3Multi-Agent LLM SystemsMulti-Agent Systems

  18. Memory in the Sky: Low-Altitude Question Answering with Multi-Agent Memory Aggregation

    Sep 28, 2026Chengyang Li, Yujie Wan, Shuai Wang +6Question AnsweringMulti-Agent Systems

  19. Adaptive and Resilient Dual-Layer Resource Slicing for Hovering Aerial Backhaul Networks

    Sep 26, 2026Chuan-Chi Lai, Jen-Hsiang LiNetwork SlicingWireless Communications

  20. Evolving Inspectable O-RAN Slicing xApps with LLMs

    Sep 23, 2026Faezeh Dehghan Tarzjani, Bhaskar KrishnamachariLarge Language Model-Guided OptimizationLLM-Based Program Synthesis

  21. Neutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks

    Sep 22, 2026Patatchona Keyela, Remon Polus, Soumaya Cherkaoui +1Combinatorial OptimizationWireless Communications

  22. IMPACT: Intent-driven Multi-agent Policy with Attention for SLO-guaranteed Microservice Migration in Cloud-edge Systems

    Sep 21, 2026Xinjin Li, Siru Tao, Shihan Yin +6Edge-Cloud ComputingCooperative MARL

  23. Interference-Driven Clustered Optimisation for FM Spectrum Coordination

    Sep 18, 2026Federica Mangiatordi, Emiliano PallottiWireless CommunicationsWireless Resource Allocation

  24. Agentic AI Networking for Heterogeneous Unmanned Aerial Systems in Low-Altitude Wireless Networks

    Sep 17, 2026Nguyen Duc Minh Quang, Chang Liu, Shuangyang Li +1LLM-Guided RLWireless Communications

  25. Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN

    Sep 16, 2026Seyed Bagher Hashemi Natanzi, Bo TangMulti-Agent ControlOpen Radio Access Network

  26. Goal-oriented probabilistic forecasting for dynamic PRB allocation in 5G networks

    Sep 15, 2026Oier Larumbe-Lizarraga, Roberto Pereira, Cristian J. Vaca-RubioProbabilistic ForecastingWireless Resource Allocation

  27. Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence

    Sep 14, 2026Thai T. Vu, John Le, Tu N. Nguyen +3Edge InferenceFair Resource Allocation