Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Efficient Resource Allocation For UAV Swarm Communication Systems With Awareness of Environmental Interference

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294472,
        author={Yinfei  Qian and Lingyun  Zhou and Ziyan  Yan and Qingjiang  Shi},
        title={Efficient Resource Allocation For UAV Swarm Communication Systems With Awareness of  Environmental Interference},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={uav communication wireless communication spectrum access transmission power},
        doi={10.4108/eai.27-8-2020.2294472}
    }
    
  • Yinfei Qian
    Lingyun Zhou
    Ziyan Yan
    Qingjiang Shi
    Year: 2020
    Efficient Resource Allocation For UAV Swarm Communication Systems With Awareness of Environmental Interference
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294472
Yinfei Qian1, Lingyun Zhou2, Ziyan Yan2,*, Qingjiang Shi2
  • 1: Zhejiang Sci-Tech University
  • 2: Tongji University
*Contact email: 1831577@tongji.edu.cn

Abstract

Unmanned aerial vehicle (UAV) communication has drawn significant interests from the industry and academic due to its low consumption, high maneuverability, and flexible mobility. This paper studies a multi-UAV wireless communication system where UAVs are operated by a ground control center to perform certain task with a planned trajectory. In order to ensure the reliable communication of multiple UAVs, we formulate a mixed-integer problem aimming to maximize the minimum signal-to-noise ratio (SINR) of UAV swarm by jointly optimizing multiuser spectrum access and transmission power. To tackle this problem efficiently, we propose an iterative algorithm based on majorization-minimization method. Extensive simulation results demonstrate that the proposed algorithm can yield substantial gains in terms of communication performance as compared with a baseline scheme.