UAV Location Optimization in MISO ZF Pre-Coded VLC Networks

Autor: Mahmoud Wafik Eltokhey, Zabih Ghassemlooy, Mohammad-Ali Khalighi
Přispěvatelé: Institut FRESNEL (FRESNEL), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), University of Northumbria at Newcastle [United Kingdom], Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2022
Předmět:
Zdroj: IEEE Wireless Communications Letters
IEEE Wireless Communications Letters, IEEE comsoc, 2021, pp.1-1. ⟨10.1109/lwc.2021.3119221⟩
IEEE Wireless Communications Letters, 2021, pp.1-1. ⟨10.1109/lwc.2021.3119221⟩
ISSN: 2162-2345
2162-2337
DOI: 10.1109/lwc.2021.3119221
Popis: International audience; 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 multiuser 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.
Databáze: OpenAIRE