Simulated Annealing Optimisation for Optimising 5G Visible Light Communications Location Measurements

被引：0

作者：

Ali, Kareem ^{[1
]}

Cosmas, John ^{[1
]}

Zhang, Xun

Shi, Lina

Meunier, Ben

机构：

[1] Brunel Univ, Uxbridge, Middx, England

来源：

2021 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB) | 2021年

基金：

欧盟地平线“2020”;

关键词：

5G indoor millimetre Wave and Visible Light Communications;

D O I：

10.1109/BMSB53066.2021.9547187

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents how Artificial Intelligence technique of simulated annealing can be used to find the optimum parameters for Received Signal Strength (RSS) distance estimation from VLC LEDs. Since it was not known what was the actual semi-angle at half power of the LED and which is the best OFDM subcarrier to use to measure RSS, simulated annealing algorithm was used to provide a solution to the optimal selection of these parameters. The function optimization and algorithm implementation was all performed in MATLAB. Results show that the method is able to find global optimal solution, whilst successfully overcoming the localised optimal solutions for distance estimation.

引用

页数：6

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