Average Achievable Rate Maximization for RIS-Assisted UAV Communication Systems
Year: 2024
Type: article
Abstract: Unmanned aerial vehicle (UAV) communication can effectively improve the quality of signal transmission in wireless communication due to its advantages of easy installation, high flexibility, and easy access to line-of-sight (LoS) links. However, in a complex communication environment, it is not easy to obtain the LoS link between the UAV and a ground user. As a promising technology, the reconfigurable intelligent surface (RIS) can provide a virtual LoS link to boost the communication quality when the LoS link is blocked. In the paper, we consider a RIS-assisted UAV communication systems which consist of a UAV and a RIS as well as a ground user. In order to maximize the average achievable rate of the ground user, this paper studies a design of joint RIS phase shift, UAV time slot power allocation and UAV trajectory in the considered systems. But the constructed joint optimization problem is a non-convex function, it is difficult to solve directly. We propose to divide the original problem into three sub-problems: power allocation optimization, phase shift optimization and UAV trajectory optimization, and propose an alternating iterative optimization algorithm to obtain a suboptimal solution. Compared with the other benchmark schemes, the algorithm we consider can significantly enhance the average achievable rate of ground user.
Source: IEEE Access
Authors: Yuandong Liu, Jianbo Ji, Juan Yang
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,995
Award: G1687019225
OpenAlex ID: W4405778745
