Resource optimization of multi-UAV assisted communication system based on user scheduling

In order to improve the transmission rate of the multi-user mobile communication downlink wireless transmission system, a resource optimization method for multi-unmanned aerial vehicle (UAV) assisted communication system based on user scheduling and trajectory optimization is proposed. The proposed method establishes an optimization problem with the maximization of the total multi-user throughput as the criterion under the constraints of user scheduling, total energy consumption of UAVs and user service quality requirements. In order to solve this non-convex problem, the original non-convex problem is decomposed into three easy-to-handle non-convex sub-problems by using the block coordinate descent method (BCD). The sub-problems are transformed and solved by introducing slack variables, first-order Taylor expressions, continuous convex approximation (SCA) and other methods, and then alternately iteratively optimized to obtain an approximate suboptimal solution to the original non-convex problem. Simulation results show that the proposed algorithm can effectively improve the total system throughput and has good convergence in both single and multi-UAV communication systems.

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Publication Details

Journal
Journal of applied artificial intelligence.
Published
2024-10-18
DOI
https://doi.org/10.59782/aai.v1i2.309
Primary Topic
UAV Applications and Optimization
Type
article
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article

Resource optimization of multi-UAV assisted communication system based on user scheduling

Bingwen Wang, Jiaqi Huang, Guicai Yu, Jingmin Tang et al.
Journal of applied artificial intelligence.
UAV Applications and Optimization
article

Resource optimization of multi-UAV assisted communication system based on user scheduling

Bingwen Wang, Jiaqi Huang, Guicai Yu, Jingmin Tang, Song Yaolian
article en

Abstract

In order to improve the transmission rate of the multi-user mobile communication downlink wireless transmission system, a resource optimization method for multi-unmanned aerial vehicle (UAV) assisted communication system based on user scheduling and trajectory optimization is proposed. The proposed method establishes an optimization problem with the maximization of the total multi-user throughput as the criterion under the constraints of user scheduling, total energy consumption of UAVs and user service quality requirements. In order to solve this non-convex problem, the original non-convex problem is decomposed into three easy-to-handle non-convex sub-problems by using the block coordinate descent method (BCD). The sub-problems are transformed and solved by introducing slack variables, first-order Taylor expressions, continuous convex approximation (SCA) and other methods, and then alternately iteratively optimized to obtain an approximate suboptimal solution to the original non-convex problem. Simulation results show that the proposed algorithm can effectively improve the total system throughput and has good convergence in both single and multi-UAV communication systems.

Journal of applied artificial intelligence.Vol. 1(2)
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Openalex Percentile: Top 71%
UAV Applications and Optimization
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Resource optimization of multi-UAV assisted communication system based on user scheduling — Bingwen Wang, Jiaqi Huang, et al. · Journal of applied artificial intelligence. (2024) | TGRS Research Map | TGRS