Invoking Deep Learning for Joint Estimation of Indoor LiFi User Position and Orientation

Author:

Arfaoui Mohamed AmineORCID,Soltani Mohammad DehghaniORCID,Tavakkolnia ImanORCID,Ghrayeb AliORCID,Assi Chadi M.ORCID,Safari MajidORCID,Haas HaraldORCID

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC) through the Fonds Québécois de la Recherche sur la Nature et les Technologies

Concordia University

Engineering and Physical Sciences Research Council (EPSRC) ‘Terabit Bidirectional Multi-User Optical Wireless System (TOWS) for 6G LiFi’

Qatar National Research Fund through NPRP

Fonds Québécois de la Recherche sur la Nature et les Technologies

Wolfson Foundation and Royal Society

Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

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1. Feasibility Conditions for Mobile LiFi;IEEE Transactions on Wireless Communications;2024-07

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4. Wide Field-of-View Reception and Beam Direction Estimation Based on Liquid-Filled Optical Receiver;IEEE Photonics Technology Letters;2024-05-01

5. Integrated Communication and Positioning for IRS-Assisted LiFi Networks;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

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