Fairness Enhancement of UAV Systems with Hybrid Active-Passive RIS

Beamforming; hybrid active-passive RIS; successive convex approximation; trajectory design; UAV-enabled communications; Active/passive; Aerial vehicle; Hybrid active-passive reconfigurable intelligent surface; Reconfigurable; Successive convex approximations; Systems performance; Time-division multiple access; Trajectory designs; Unmanned aerial vehicle-enabled communication; Wireless communications; Computer Science Applications; Electrical and Electronic Engineering; Applied Mathematics

Abstract :

[en] We consider unmanned aerial vehicle (UAV)-enabled wireless systems where downlink communications between a multi-antenna UAV and multiple users are assisted by a hybrid active-passive reconfigurable intelligent surface (RIS). We aim at a fairness design of two typical UAV-enabled networks, namely the static-UAV network where the UAV is deployed at a fixed location to serve all users at the same time, and the mobile-UAV network which employs the time division multiple access protocol. In both networks, our goal is to maximize the minimum rate among users through jointly optimizing the UAV's location/trajectory, transmit beamformer, and RIS coefficients. The resulting problems are highly nonconvex due to a strong coupling between the involved variables. We develop efficient algorithms based on block coordinate ascend and successive convex approximation to effectively solve these problems in an iterative manner. In particular, in the optimization of the mobile-UAV network, closed-form solutions to the transmit beamformer and RIS passive coefficients are derived. Numerical results show that a hybrid RIS equipped with only 4 active elements and a power budget of 0 dBm offers an improvement of 38%-63% in minimum rate, while that achieved by a passive RIS is only about 15%, with the same total number of elements.

Disciplines :

Computer science

Author, co-author :

Nguyen, Nhan Thanh ; University of Oulu, Centre for Wireless Communications, Oulu, Finland

Nguyen, Van-Dinh ; VinUniversity, College of Engineering and Computer Science, The Center for Environmental Intelligence, Hanoi, Viet Nam

Van Nguyen, Hieu ; The University of Danang-University of Science and Technology, Faculty of Electronic and Telecommunication Engineering, Da Nang, Viet Nam

Wu, Qingqing ; Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China

Tölli, Antti ; University of Oulu, Centre for Wireless Communications, Oulu, Finland

CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Juntti, Markku ; University of Oulu, Centre for Wireless Communications, Oulu, Finland

External co-authors :

yes

Language :

English

Title :

Fairness Enhancement of UAV Systems with Hybrid Active-Passive RIS

Publication date :

May 2024

Journal title :

IEEE Transactions on Wireless Communications

ISSN :

1536-1276

eISSN :

1558-2248

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

4379 - 4396

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx7/7693/10527220/10266977.pdf?arnumber=10266977

Funders :

Research Council of Finland through 6G Flagship
project DIRECTION
EERA Project
Infotech Oulu through the EEWA Project
VinUniversity Seed Grant Program
NSFC
Science and Technology Planning Project of Guangdong Province
FDCT
Luxembourg National Research Fund via the Project 5G-SKY
Project RISOTTI

Funding text :

This work was supported in part by the Research Council of Finland through 6G Flagship under Grant 346208 and project DIRECTION under Grant 354901, in part by the EERA Project under Grant 332362, and in part by the Infotech Oulu through the EEWA Project. The work of Van-Dinh Nguyen was supported in part by the VinUniversity Seed Grant Program. The work of Qingqing Wu was supported in part by NSFC under Grant 62371289 and Grant 62331022, in part by the Guangdong Science and Technology Program under Grant 2022A0505050011, and in part by FDCT under Grant 0119/2020/A3. The work of Symeon Chatzinotas was supported by the Luxembourg National Research Fund via the Project 5G-SKY under Grant FNR/C19/IS/13713801/5G-Sky and the Project RISOTTI under Grant FNR/C20/IS/14773976/RISOTTI.

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