Journal
PEERJ COMPUTER SCIENCE
Volume 8, Issue -, Pages -Publisher
PEERJ INC
DOI: 10.7717/peerj-cs.864
Keywords
Outage probability; Power allocation; Relay network; UAV
Categories
Funding
- National Natural Science Foundation of China [61842103, 61871351, 61801437]
- Science and Technology Foundation of State Key Laboratory of Electronic Testing Technology [6142001180410]
- Technological Innovation Foundation of the Higher Education Institutions of Shanxi Province, China [2020L0301, 2020L0389]
- Poverty-relief Foundation of Shanxi Province [2020FP-11]
- Scientific and Technological Innovation Foundation of Higher Education Institutions in Shanxi Province, China [18005520]
- Science Foundation of North University of China [XJJ201927]
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The main objective of this study was to investigate the optimal power allocation strategy in the UAV cooperative wireless Decode and Forward relay network. Two optimization problems were studied for different application scenarios, and the proposed algorithms were validated through simulations.
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.
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