基于烟花算法的可见光通信光源功率优化方法

游春霞; 胡青松; 李世党

doi:10.12263/DZXB.20220193

您当前的位置：

首页 >

文章列表页 >

基于烟花算法的可见光通信光源功率优化方法

学术论文 | 更新时间：2025-12-11

- 基于烟花算法的可见光通信光源功率优化方法
- A Power Optimization Method of Light Sources Based on Fireworks Algorithm in Visible Light Communications
- 电子学报 2024年52卷第6期页码：2083-2090
- 作者机构：
  
  1.江苏师范大学物理与电子工程学院，江苏徐州 221116
  2.中国矿业大学信息与控制工程学院，江苏徐州 221008
- 作者简介：
  
  [ "游春霞女，1979年2月出生于江苏省姜堰市.博士，西澳大学访问学者，现为江苏师范大学物理与电子工程学院副教授，从事可见光通信和智能信号处理方面的研究. E-mail: 149143512@qq.com" ]
  [ "胡青松男，1978年7月出生于四川省广安市.现为中国矿业大学教授、博士生导师，从事矿山物联网、精确定位与导航、工业AI等方向的研究工作，获省部级奖励8项，在国内外发表论文90余篇. E-mail: hqsong722@163.com" ]
  [ "李世党男，1984年9月出生于河南省商丘市.现为江苏师范大学物理与电子工程学院讲师.主要研究方向为智能反射面辅助通信、通感一体化、智能通信等. Email:shidangli@jsnu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(51874299;62371451);江苏省产学研合作项目(BY2020580);江苏师范大学校博士科研基金项目(18XLRS015)
- DOI：10.12263/DZXB.20220193
  中图分类号： TN929.1
- 收稿：2022-02-21，
  
  修回：2023-10-15，
  
  纸质出版：2024-06-25
- 稿件说明：
移动端阅览
游春霞,胡青松,李世党.基于烟花算法的可见光通信光源功率优化方法[J].电子学报,2024,52(06):2083-2090.

YOU Chun-xia, HU Qing-song, LI Shi-dang.A Power Optimization Method of Light Sources Based on Fireworks Algorithm in Visible Light Communications[J].Acta Electronica Sinica, 2024, 52(06): 2083-2090.
游春霞,胡青松,李世党.基于烟花算法的可见光通信光源功率优化方法[J].电子学报,2024,52(06):2083-2090. DOI：10.12263/DZXB.20220193

YOU Chun-xia, HU Qing-song, LI Shi-dang.A Power Optimization Method of Light Sources Based on Fireworks Algorithm in Visible Light Communications[J].Acta Electronica Sinica, 2024, 52(06): 2083-2090. DOI：10.12263/DZXB.20220193

摘要

为了改善室内可见光通信系统接收平面光信号信噪比波动大的问题，提高可见光通信系统的整体性能，设计了基于群体优化算法——烟花算法的可见光通信系统的光源功率优化算法.该算法以无线光接收平面的信噪比因子为优化目标，优化每个LED（Light Emitting Diode）光源的发射功率，获取接收平面最优信噪比因子，有效降低光接收平面光信号波动度.结果表明，当光源数量为16个点光源时，接收平面信噪比因子比等功率的光源分布降低了45%，显著改善了接收光信号的波动幅度，从而保证不同位置点的光通信用户获得同等通信质量.该方法适用于任意数量和位置的LED光源，不受光源数量和位置的限制.对比分析发现，增加光源数量，接收平面信噪比因子更小，信噪比分布均匀性更优.

Abstract

To solve the large fluctuation problem of signal-to-noise ratio of optical signals on the received plane in the indoor visible light communication system and improve the overall performance of the visible light communication system

a light source power optimization algorithm for the visible light communication system based on the swarm optimization algorithm — fireworks algorithm is proposed. The algorithm takes the signal-to-noise ratio factor of the wireless light-receiving plane as the optimization goal

optimizes the transmit power of each LED (Light Emitting Diode) light source

obtains the optimal signal-to-noise ratio factor on the receiving plane

and effectively reduces the optical signal fluctuation of the light-receiving plane. The results show that when the number of light sources is 16 point light sources

the signal-to-noise ratio factor on the receiving plane is reduced by 45% compared with the equal power light sources

which significantly improves the fluctuation amplitude of the received optical signal

thereby ensuring that the optical communication users at different positions can obtain the same communication quality. This method is suitable for any number and position of LED light sources

and is not limited by the number and positions of light sources. The comparative analysis shows that the signal-to-noise ratio factor of the receiving plane is smaller and the uniformity of the signal-to-noise ratio distribution is better with the increase of the number of light sources.

关键词

Keywords

references

KOMINE T , NAKAGAWA M . Fundamental analysis for visible-light communication system using LED lights [J ] . IEEE Transactions on Consumer Electronics , 2004 , 50 ( 1 ): 100 - 107 .

KOONEN T . Indoor optical wireless systems: Technology, trends, and applications [J ] . Journal of Lightwave Technology , 2018 , 36 ( 8 ): 1459 - 1467 .

CHI N , ZHOU Y J , WEI Y R , et al . Visible light communication in 6G: Advances, challenges, and prospects [J ] . IEEE Vehicular Technology Magazine , 2020 , 15 ( 4 ): 93 - 102 .

WANG Z X , YU C Y , ZHONG W D , et al . Performance of a novel LED lamp arrangement to reduce SNR fluctuation for multi-user visible light communication systems [J ] . Optics Express , 2012 , 20 ( 4 ): 4564 - 4573 .

HONG Y , CHEN J , WANG Z X , et al . Performance of a precoding MIMO system for decentralized multiuser indoor visible light communications [J ] . IEEE Photonics Journal , 2013 , 5 ( 4 ): 7800211 .

WANG Z X , YU C Y , ZHONG W D , et al . Performance improvement by tilting receiver plane in M-QAM OFDM visible light communications [J ] . Optics Express , 2011 , 19 ( 14 ): 13418 - 13427 .

赵梓旭 , 宋小庆 , 贾胜杰 , 等 . 特种车内可见光通信系统光源布局优化 [J ] . 红外与激光工程 , 2017 , 46 ( 1 ): 230 - 237 .

ZHAO Z X , SONG X Q , JIA S J , et al . Optimization layout of lighting for VLC system in special vehicle [J ] . Infrared and Laser Engineering , 2017 , 46 ( 1 ): 230 - 237 . (in Chinese)

陈勇 , 沈奇翔 , 刘焕淋 . 室内可见光通信中接收光功率均匀性优化方法 [J ] . 中国激光 , 2018 , 45 ( 5 ): 178 - 185 .

CHEN Y , SHEN Q X , LIU H L . Optimization algorithm of receiver optical power uniformity in indoor visible light communication [J ] . Chinese Journal of Lasers , 2018 , 45 ( 5 ): 178 - 185 . (in Chinese)

王加安 , 车英 , 吕超 , 等 . 基于能量最优的室内可见光通信LED布局 [J ] . 光学学报 , 2017 , 37 ( 8 ): 57 - 69 .

WANG J A , CHE Y , LÜ C , et al . LED layout for indoor visible light communication based on energy optimization‍ [J ] . Acta Optica Sinica , 2017 , 37 ( 8 ): 57 - 69 . (in Chinese)

张芳鑫 , 王法松 , 李睿 , 等 . GSSK-VLC系统中基于SVM的LED选择算法 [J ] . 电子学报 , 2021 , 49 ( 7 ): 1400 - 1405 .

ZHANG F X , WANG F S , LI R , et al . SVM-based LED selection algorithm in GSSK-VLC system [J ] . Acta Electronica Sinica , 2021 , 49 ( 7 ): 1400 - 1405 . (in Chinese)

冷亭亭 , 张延彬 , 王法松 . 基于朴素贝叶斯的室内VLC网络天线选择方法 [J ] . 控制与决策 , 2023 , 38 ( 1 ): 67 - 74 .

LENG T T , ZHANG Y B , WANG F S . Naive Bayesian-based antenna selection approach for indoor VLC network‍ [J ] . Control and Decision , 2023 , 38 ( 1 ): 67 - 74 . (in Chinese)

金建力 , 路慧敏 , 陈丹阳 , 等 . 一种抗可见光蜂窝网小区间干扰的光学发射天线设计 [J ] . 电子学报 , 2021 , 49 ( 10 ): 1975 - 1981 .

JIN J L , LU H M , CHEN D Y , et al . Design of anti-cell interference optical transmitting antenna for visible light cellular network [J ] . Acta Electronica Sinica , 2021 , 49 ( 10 ): 1975 - 1981 . (in Chinese)

DING J P , HUANG Z T , JI Y F . Evolutionary algorithm based power coverage optimization for visible light communications [J ] . IEEE Communications Letters , 2012 , 16 ( 4 ): 439 - 441 .

YOU C X , ZHANG S , ZHANG R . An optimal LED light source arrangement to reduce SNR fluctuation for MISO VLC system using fireworks algorithm [J ] . International Journal of Grid and Distributed Computing , 2016 , 9 ( 12 ): 295 - 306 .

PEI Y , ZHENG S Q , TAN Y , et al . Effectiveness of approximation strategy in surrogate-assisted fireworks algorithm [J ] . International Journal of Machine Learning and Cybernetics , 2015 , 6 ( 5 ): 795 - 810 .

TAN Y . Editorial: Special issue on advances in swarm intelligence for neural networks [J ] . Neurocomputing , 2015 , 148 : 1 - 2 .

LI J Z , ZHENG S Q , TAN Y . The effect of information utilization: Introducing a novel guiding spark in the fireworks algorithm [J ] . IEEE Transactions on Evolutionary Computation , 2017 , 21 ( 1 ): 153 - 166 .

LI J Z , TAN Y . The bare bones fireworks algorithm: A minimalist global optimizer [J ] . Applied Soft Computing , 2018 , 62 : 454 - 462 .

ZHENG S Q , LI J Z , JANECEK A , et al . A cooperative framework for fireworks algorithm [J ] . IEEE/ACM Transactions on Computational Biology and Bioinformatics , 14 ( 1 ): 27 - 41 .

LI J Z , TAN Y . Loser-out tournament-based fireworks algorithm for multimodal function optimization [J ] . IEEE Transactions on Evolutionary Computation , 2018 , 22 ( 5 ): 679 - 691 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

室内VLC-NOMA网络的协作多点用户接入和功率分配

基于改进T分布烟花-粒子群算法的AUV全局路径规划

基于SSK的室内VLPC系统设计及性能分析

外界干扰下车对车2×2 MIMO-VLC系统研究

结合频域物理感知与高阶语义融合的一体化遥感图像复原框架