Joint User Association, Interference Cancellation and Power Control for Multi-IRS Assisted UAV Communications
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Abstract (arXiv)
Intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) communications are expected to alleviate the load of ground base stations in a cost-effective way. Existing studies mainly focus on the deployment and resource allocation of a single IRS instead of multiple IRSs, whereas it is extremely challenging for joint multi-IRS multi-user association in UAV communications with constrained reflecting resources and dynamic scenarios. To address the aforementioned challenges, we propose a new optimization algorithm for joint IRS-user association, trajectory optimization of UAVs, successive interference cancellation (SIC) decoding order scheduling and power allocation to maximize system energy efficiency. We first propose an inverse soft-Q learning-based algorithm to optimize multi-IRS multi-user association. Then, SCA and Dinkelbach-based algorithm are leveraged to optimize UAV trajectory followed by the optimization of SIC decoding order scheduling and power allocation. Finally, theoretical analysis and performance results show significant advantages of the designed algorithm in convergence rate and energy efficiency.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 41 references that are in the map. First posted on arXiv 8 Dec 2023.
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12 of 41 references.
References · 12
- 2021IQ-Learn: Inverse soft-Q Learning for Imitationcited by 191
- 2020Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networkscited by 7
- 2020Joint Trajectory and Passive Beamforming Design for Intelligent Reflecting Surface-Aided UAV Communications: A Deep Reinforcement Learning Approachcited by 4
- 2020Joint Trajectory and Resource Allocation Design for Energy-Efficient Secure UAV Communication Systemscited by 3
- 2021An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surfacecited by 2
- 2021RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learningcited by 2
- 2022User Scheduling and Trajectory Optimization for Energy-Efficient IRS-UAV Networks with SWIPTcited by 2
- 2021Intelligent Reflecting Surface Enhanced Multi-UAV NOMA Networkscited by 1
- 2021Empowering Base Stations with Co-Site Intelligent Reflecting Surfaces: User Association, Channel Estimation and Reflection Optimizationcited by 1
- 2022Trajectory and Transmit Power Optimization for IRS-Assisted UAV Communication under Malicious Jammingcited by 1
- 2022Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communicationscited by 1
- 2022Energy-Efficient Trajectory Design of a Multi-IRS Assisted Portable Access Pointcited by 1
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