UAV Location Optimization in MISO ZF Pre-coded VLC Networks

Eltokhey, Mahmoud Wafik, Khalighi, Mohammad-Ali and Ghassemlooy, Zabih (2022) UAV Location Optimization in MISO ZF Pre-coded VLC Networks. IEEE Wireless Communications Letters, 11 (1). pp. 28-32. ISSN 2162-2337

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Use of unmanned aerial vehicles (UAVs) to provide on-demand communications has been receiving growing interest, especially for use in remote and hard-to-reach areas. Also, the use of light-emitting diode -based lighting in UAVs has opened opportunities for data transmission through visible-light communications. To manage multi-user interference while avoiding complex handover procedures, we consider the use of zero forcing (ZF) pre-coding. Since the performance of ZF pre-coding depends on the correlation between channel gains of users, we propose in this paper to reduce it by means of location optimization of UAVs. More specifically, we use particle swarm optimization with the objective of maximizing the overall achievable network throughput. Furthermore, to relax the optimization requirements at UAVs, we investigate the case when the optimization is performed at a specific rate under different mobility conditions.

Item Type: Article
Additional Information: Funding information: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764461 (VisIoN), and was based upon work from European Union’s Horizon 2020 COST Action CA19111 (NEWFOCUS).
Uncontrolled Keywords: Correlation, Interference, Light emitting diodes, Lighting, MISO communication, Optimization, Particle swarm optimization, unmanned-aerial vehicles, Visible-light communications, ZF pre-coding
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 08 Nov 2021 14:43
Last Modified: 25 Jan 2022 16:30

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