Power Control Algorithm Based on a Cooperative Game in User-Centric Unmanned Aerial Vehicle Group

Yuexia Zhang, Pengfei Zhang and Fei Xiong

Complexity, 2021, vol. 2021, 1-6

Abstract: The quality of service (QoS) of a user in user-centric unmanned aerial vehicle group (UUAVG) is degraded by complex cochannel interference; hence, a cooperative game power control (CGPC) algorithm in UUAVG is proposed. The algorithm helps to establish a downlink power control model of the UUAVG, construct a product of the signal to interference noise ratio function of each user as a utility function of the cooperative game, and deduce the optimal power control scheme using the Lagrange function. This scheme reduces the interference of the service unmanned aerial vehicle (UAV) to edge users and improves the communication quality of all the users as well as the throughput of the entire system. Simulation results show that the average throughput of the CGPC algorithm improved by 10.32% compared with the traditional Stackelberg Game based Nonunified Pricing Power Control (SGNPPC) algorithm. This shows that the CGPC algorithm can effectively reduce the transmission power of the cooperative UAV and enhance the capacity of the entire system, ensuring communication quality.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:7108198

DOI: 10.1155/2021/7108198

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