Joint Deployment and Resource Management for VLC-Enabled RISs-Assisted UAV Networks

被引:28
作者
Cang, Yihan [1 ]
Chen, Ming [1 ,2 ]
Zhao, Jingwen [1 ]
Yang, Zhaohui [3 ,4 ]
Hu, Ye [5 ]
Huang, Chongwen [6 ,7 ,8 ]
Wong, Kai-Kit [4 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211100, Peoples R China
[3] Zhejiang Univ, Coll Informat Sci & Elect Engn, Zhejiang Key Lab Informat Proc Commun & Networking, Hangzhou 310027, Peoples R China
[4] UCL, Dept Elect & Elect Engn, London WC1E 6BT, England
[5] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA
[6] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
[7] Zhejiang Univ, Int Joint Innovat Ctr, Hangzhou 310027, Peoples R China
[8] Zhejiang Prov Key Lab Informat Proc Commun & Netwo, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Autonomous aerial vehicles; Visible light communication; Lighting; Radio frequency; Energy efficiency; Base stations; Resource management; unmanned aerial vehicles; reconfigurable intelligent surfaces; energy efficiency; RECONFIGURABLE INTELLIGENT SURFACES; VISIBLE-LIGHT COMMUNICATIONS; BEAMFORMING DESIGN; COMMUNICATION; OPTIMIZATION; SYSTEMS;
D O I
10.1109/TWC.2022.3165853
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, the problem of the deployment and resource management for visible light communication (VLC)-enabled, reconfigurable intelligent surfaces (RISs)-assisted unmanned aerial vehicle (UAV) networks is investigated. In the considered model, UAVs provide terrestrial users with wireless services and illumination simultaneously. Moreover, RISs are utilized to further improve the channel quality between UAVs and users. This joint placement and resource management problem is constructed aiming at acquiring the optimal UAV deployment, RISs phase shift, user and RIS association that satisfies the users' needs with minimum consumption of the UAVs' energy. An iterative algorithm that alternately optimizes continuous and binary variables is proposed to solve this mixed-integer programming problem. Specifically, RISs phase shift optimization is solved by phases alignment method and semidefinite program algorithm. Next, the successive convex approximation algorithm is proposed to settle the UAV deployment problem. The user and RIS association variables are relaxed to the continuous ones before adopting the dual method to find the optimal solution. Moreover, a greedy algorithm is proposed as an alternative to RIS association optimization with low complexity. Simulation results show that the proposed two schemes harvest the superior performance of 34.85% and 32.11% energy consumption reduction over the case without RIS, respectively.
引用
收藏
页码:746 / 760
页数:15
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