Joint Optimization of User Scheduling, Flight Path and Power Allocation in A UAV-Enabled Communication System

In view of the surge of data traffic in the future network, the quality of service can be improved by using unmanned aerial vehicle (UAV) to assist ground base station communication. For this reason, this paper studies the communication scenario in which the UAV serves as an air mobile base station...

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Bibliographic Details
Published in2023 16th International Conference on Signal Processing and Communication System (ICSPCS) pp. 01 - 06
Main Authors Liu, Lipei, Yao, Rugui, Fan, Ye, Zuo, Xiaoya, Xu, Juan, Yu, Lin, Wang, Peng, Lil, Xudong
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.09.2023
Subjects
Autonomous aerial vehicles
Base stations
Iterative algorithm
path optimization
power allocation
Quality of service
Scheduling
Signal processing
Signal processing algorithms
Simulation
UAV communication
user scheduling
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Summary:In view of the surge of data traffic in the future network, the quality of service can be improved by using unmanned aerial vehicle (UAV) to assist ground base station communication. For this reason, this paper studies the communication scenario in which the UAV serves as an air mobile base station to provide services for multiple users on the ground. Considering the communication quality of all users within a limited flight time, we jointly optimize the scheduling of users, power allocation of UAV, and the flight path to maximize the minimum achievable rate of all users. Since the optimization problem involved here is non-convex, we propose an efficient iterative algorithm, jointly considering the block coordinate descent method and the successive convex approximation technique. The simulation results verify that this scheme significantly improves the achievable rate of the system compared with other benchmark schemes.
DOI:10.1109/ICSPCS58109.2023.10261163