Joint Optimization of STAR-RIS Assisted UAV Communication Systems

Qin Zhang; Yang Zhao; Hai Li; Shujuan Hou; Zhengyu Song

doi:10.1109/LWC.2022.3204353

Joint Optimization of STAR-RIS Assisted UAV Communication Systems

Qin Zhang, Yang Zhao, Hai Li^*, Shujuan Hou, Zhengyu Song

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

Abstract

In this letter, we study the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) communications. Our goal is to maximize the sum rate of all users by jointly optimizing the STAR-RIS's beamforming vectors, the UAV's trajectory and power allocation. We decompose the formulated non-convex problem into three subproblems and solve them alternately to obtain the solution. Simulations show that: 1) the STAR-RIS achieves a higher sum rate than traditional RIS; 2) to exploit the benefits of STAR-RIS, the UAV's trajectory is closer to STAR-RIS than that of RIS; 3) the energy splitting for reflection and transmission highly depends on the real-time trajectory of UAV.

Original language	English
Pages (from-to)	2390-2394
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	11
Issue number	11
DOIs	https://doi.org/10.1109/LWC.2022.3204353
Publication status	Published - 1 Nov 2022

Keywords

Reconfigurable intelligent surface
passive beamforming
power allocation
simultaneous transmission and reflection
trajectory design
unmanned aerial vehicle

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10.1109/LWC.2022.3204353

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title = "Joint Optimization of STAR-RIS Assisted UAV Communication Systems",

abstract = "In this letter, we study the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) communications. Our goal is to maximize the sum rate of all users by jointly optimizing the STAR-RIS's beamforming vectors, the UAV's trajectory and power allocation. We decompose the formulated non-convex problem into three subproblems and solve them alternately to obtain the solution. Simulations show that: 1) the STAR-RIS achieves a higher sum rate than traditional RIS; 2) to exploit the benefits of STAR-RIS, the UAV's trajectory is closer to STAR-RIS than that of RIS; 3) the energy splitting for reflection and transmission highly depends on the real-time trajectory of UAV.",

keywords = "Reconfigurable intelligent surface, passive beamforming, power allocation, simultaneous transmission and reflection, trajectory design, unmanned aerial vehicle",

author = "Qin Zhang and Yang Zhao and Hai Li and Shujuan Hou and Zhengyu Song",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2022",

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doi = "10.1109/LWC.2022.3204353",

language = "English",

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journal = "IEEE Wireless Communications Letters",

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TY - JOUR

T1 - Joint Optimization of STAR-RIS Assisted UAV Communication Systems

AU - Zhang, Qin

AU - Zhao, Yang

AU - Li, Hai

AU - Hou, Shujuan

AU - Song, Zhengyu

PY - 2022/11/1

Y1 - 2022/11/1

N2 - In this letter, we study the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) communications. Our goal is to maximize the sum rate of all users by jointly optimizing the STAR-RIS's beamforming vectors, the UAV's trajectory and power allocation. We decompose the formulated non-convex problem into three subproblems and solve them alternately to obtain the solution. Simulations show that: 1) the STAR-RIS achieves a higher sum rate than traditional RIS; 2) to exploit the benefits of STAR-RIS, the UAV's trajectory is closer to STAR-RIS than that of RIS; 3) the energy splitting for reflection and transmission highly depends on the real-time trajectory of UAV.

AB - In this letter, we study the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) communications. Our goal is to maximize the sum rate of all users by jointly optimizing the STAR-RIS's beamforming vectors, the UAV's trajectory and power allocation. We decompose the formulated non-convex problem into three subproblems and solve them alternately to obtain the solution. Simulations show that: 1) the STAR-RIS achieves a higher sum rate than traditional RIS; 2) to exploit the benefits of STAR-RIS, the UAV's trajectory is closer to STAR-RIS than that of RIS; 3) the energy splitting for reflection and transmission highly depends on the real-time trajectory of UAV.

KW - Reconfigurable intelligent surface

KW - passive beamforming

KW - power allocation

KW - simultaneous transmission and reflection

KW - trajectory design

KW - unmanned aerial vehicle

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Joint Optimization of STAR-RIS Assisted UAV Communication Systems

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