Enhancing UAV-Enabled Communications via Multiple Intelligent Omni-Surfaces

This letter investigates an air-ground communication system where an unmanned aerial vehicle (UAV) communicates with multiple users with the assistance of multiple intelligent omni-surfaces (IOSs). Our goal is to maximize the minimum average expectation of the achievable rate through the joint optim...

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Bibliographic Details
Published in:IEEE communications letters 2023-02, Vol.27 (2), p.655-660
Main Authors: Lei, Yu, Liu, Yifan, Wu, Qingqing, Yuan, Xiaojun, Ning, Jin, Duo, Bin
Format: Article
Language:English
Subjects:
Algorithms
Autonomous aerial vehicles
Communications systems
intelligent omni-surfaces
Mixed integer
Optimization
phase shift design
Rician channels
Simulation
Time division multiple access
Trajectory
trajectory design
UAV communications
Unmanned aerial vehicles
Wireless communication
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Summary:This letter investigates an air-ground communication system where an unmanned aerial vehicle (UAV) communicates with multiple users with the assistance of multiple intelligent omni-surfaces (IOSs). Our goal is to maximize the minimum average expectation of the achievable rate through the joint optimization of the users' scheduling, IOSs' phase shifts, and UAV's trajectory. We first show the random channel power gains follow the more tractable noncentral Chi-square distribution. Then, the resulting optimization problem is a mixed-integer non-convex problem with tightly coupled optimization variables, which is difficult to solve optimally. We propose an efficient algorithm to obtain the suboptimal solution based on block coordinate descent (BCD) and successive convex approximation (SCA) methods. Simulation results show that our proposed scheme significantly outperforms other benchmark schemes.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2022.3231637