A Novel Multi-Objective Sequential Resource Allocation Optimization for UAV-Assisted VLC

• Published in: IEEE transactions on vehicular technology Vol. 72; no. 5; pp. 1 - 6
• Main Authors: Abdel-Rahman, Mohammad J., AlWaqfi, Adel M., Atoum, Jumanh K., Yaseen, Maysa A., MacKenzie, Allen B.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-05-2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Autonomous aerial vehicles; cell association; Illumination; Interference; Light emitting diodes; Lighting; Mixed integer; multi-objective sequential optimization; Multiple objective analysis; network deployment; Optical communication; Optimization; power control; Resource allocation; Resource management; UAVs; Unmanned aerial vehicles; Visible light communication; VLC
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2023.3233991

Unmanned aerial vehicle (UAV)-assisted visible light communication (VLC) constitutes a promising approach for providing illumination and communication simultaneously. In this paper, we consider the problem of joint UAV deployment, cell association, and power allocation, to meet the illumination and data rate demands of a set of users in a geographical area. Towards this goal, we develop SOUVLC , a multi-objective s equentially o ptimized U AV-assisted VLC framework that aims at minimizing the required number of UAVs first and minimizing the total transmitted power second . SOUVLC mitigates inter-cell interference and accounts for illumination interference. We derive a mixed-integer linear formulation of SOUVLC , numerically evaluate it under different user demands and distributions, and demonstrate its superiority over several benchmarks.