Optimal power allocation for a wireless cooperative network with UAV

被引:0
|
作者
Yan J. [1 ,2 ]
Deng X. [2 ]
Liu J. [3 ]
Wang L. [1 ]
机构
[1] National Key Laboratory of Electronic Test Technology, North University of China, Shanxi, Taiyuan
[2] School of Information Science and Engineering, Shanxi Agricultural University, Shanxi, Taigu
[3] Department of Computer Science, Lvliang University, Shanxi, Lvliang
基金
中国国家自然科学基金;
关键词
Outage probability; Power allocation; Relay network; UAV;
D O I
10.7717/PEERJ-CS.864
中图分类号
学科分类号
摘要
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 closedform solution of the power allocation strategy for the system without diversity. Finally, the simulation results verify the correctness of the proposed algorithm. Copyright 2022 Yan et al.
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