@inproceedings{ae702cc3e3184849bccf1b4fbecbb685,
title = "Dynamic Unmanned Aerial Vehicle Selection via Evolutionary Game",
abstract = "Unmanned aerial vehicle assisted (UAV-assisted) wireless communication network is a promising paradigm of wireless communication network. In this paper, we apply the evolutionary game to the UAV selection process of ground user equipment (UE). Specifically, we first establish a UAV-assisted uplink wireless communication model, and then we use replicator dynamics to describe the process of evolution game. Finally, we propose a dynamic UAV selection algorithm based on evolutionary game with low computation complexity. The numerical results prove the effectiveness of our developed algorithm in UAV-assisted wireless communication network.",
keywords = "Unmanned aerial vehicle (UAV), evolutionary game, replicator dynamics, wireless communication",
author = "Anqi Meng and Tianshi Ren and Mei Yang and Xiaozheng Gao and Xianchao Zhang and Jinbo Zhang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023 ; Conference date: 10-08-2023 Through 12-08-2023",
year = "2023",
doi = "10.1109/ICCC57788.2023.10233335",
language = "English",
series = "2023 IEEE/CIC International Conference on Communications in China, ICCC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE/CIC International Conference on Communications in China, ICCC 2023",
address = "United States",
}