Integrated Communication and Positioning for IRS-Assisted LiFi Networks

被引:0
作者
Li, Juncheng [1 ]
Huang, Yifan [2 ]
Huang, Shenjie [1 ]
Tavakkolnia, Iman [2 ]
Haas, Harald [2 ]
Safari, Majid [1 ]
机构
[1] Univ Edinburgh, Sch Engn, Inst Imaging Data & Commun, Edinburgh, Midlothian, Scotland
[2] Univ Strathclyde, LiFi R&D Ctr, Dept Elect & Elect Engn, Glasgow, Lanark, Scotland
来源
2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024 | 2024年
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1109/WCNC57260.2024.10570819
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Light-fidelity (LiFi) is a networked optical wireless communication (OWC) solution to achieve high-speed mobile communications. To address the misalignment challenges encountered in laser-based LiFi, this study introduces an innovative full-coverage indoor LiFi system with integrated communication and positioning capabilities, leveraging intelligent reflected surfaces (IRSs). By design, the proposed system ensures successful wireless downlink connectivity, irrespective of the user's random location and orientation status. An algorithm is developed to ascertain the optimal deployment of both access points (APs) and IRS layers. Moreover, this study introduces a machine learning (ML)-based OWC positioning approach designed to enhance the accuracy of the user positioning, thereby effectively boosting the performance of the IRS-assisted communication system. Numerical results demonstrate the superiority of the proposed positioning approach over traditional methods in terms of average data rate.
引用
收藏
页数:6
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