Optimal power allocation for a wireless cooperative network with UAV

Jing Yan; Xuefeng Deng; Jihua Liu; Liming Wang

doi:10.7717/peerj-cs.864

Optimal power allocation for a wireless cooperative network with UAV

PeerJ Comput Sci. 2022 Jan 27:8:e864. doi: 10.7717/peerj-cs.864. eCollection 2022.

Authors

Jing Yan^{1

2}, Xuefeng Deng², Jihua Liu³, Liming Wang¹

Affiliations

¹ National Key Laboratory of Electronic Test Technology, North University of China, Taiyuan, Shanxi, China.
² School of Information Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi, China.
³ Department of Computer Science, Lvliang University, Lvliang, Shanxi, China.

Abstract

The main objective of this work was to investigate the optimal power allocation strategy in the UAV cooperative wireless Decode and Forward (DF) relay network. Firstly, the outage probability of the system with and without diversity gain was derived. Two optimization problems were studied for different application scenarios. One of the optimization problems sought to determine an optimal power allocation strategy in certain total power constraint to minimize the system outage probability. Since the optimization problem we established is convex, the Lagrange multiplier method was adopted. For the system without diversity, the explicit expression of the optimal power allocation was derived. The relationship between UAV transmission power and source node transmit power was obtained for the diversity gain system and then the Newton iterative method was used to obtain the optimal power allocation method. The simulation results show that the optimal power allocation strategy can reduce the outage probability of the system under the same conditions, and the reliability of the system was improved. Another optimization problem aimed to use the lowest power to ensure that the outage probability within a certain specific threshold for saving energy resources. Because the optimization problem is non-convex, we proposed an effective method to solve the optimal power allocation strategy. Similarly, we derived the closed-form solution of the power allocation strategy for the system without diversity. Finally, the simulation results verify the correctness of the proposed algorithm.

Keywords: Outage probability; Power allocation; Relay network; UAV.

Grants and funding

This research was supported by the National Natural Science Foundation of China under Grant 61842103, 61871351, and 61801437 and by the Science and Technology Foundation of State Key Laboratory of Electronic Testing Technology under Grant 6142001180410 and by the Technological Innovation Foundation of the Higher Education Institutions of Shanxi Province, China under Grant 2020L0301 and 2020L0389 and by the Poverty-relief Foundation of Shanxi Province under Grant 2020FP-11 and by Scientific and Technological Innovation Foundation of Higher Education Institutions in Shanxi Province, China under Grant 18005520 and by Science Foundation of North University of China under Grant XJJ201927. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.