光通信技术2025，Vol.49Issue(1)：44-51,8.DOI:10.13921/j.cnki.issn1002-5561.2025.01.008
联合DNN信道估计与虚拟时间反转信道均衡的NOMA-VLC系统
NOMA-VLC system combining DNN channel estimation and virtual time reversal channel equalization
摘要
Abstract
In order to overcome the impact of multipath effects and inter user interference on communication reliability in indoor multi-user scenarios faced by existing non orthogonal multiple access(NOMA)models in visible light communication(VLC)systems,improve spectral efficiency and communication rate,a NOMA-VLC system combining deep neural network(DNN)channel estimation and virtual time reversal(VTR)channel equalization is proposed.By analyzing the characteristics of multi-us-er NOMA-VLC channels,DNN is used for accurate channel estimation,and VTR technology is utilized to achieve channel equal-ization,focus energy,suppress multipath effects,enhance communication reliability and user fairness.The simulation results show that in a two user scenario,the system performance improved by 5.1 dB and 4.9 dB respectively at a bit error rate of 10-3,with performance advantages of 2 dB and 2.4 dB compared to other algorithms.关键词
可见光通信/非正交多址/深度学习/时间反转技术/信道均衡Key words
visible light communication/non-orthogonal multiple access/deep learning/time reversal technology/channel e-qualization分类
信息技术与安全科学引用本文复制引用
徐美欣,张峰,赵黎,刘叶楠..联合DNN信道估计与虚拟时间反转信道均衡的NOMA-VLC系统[J].光通信技术,2025,49(1):44-51,8.基金项目
陕西省科技计划项目(2024-YBXM-105)资助 （2024-YBXM-105）
西安市科技局高校院所科技人员服务企业项目(24GXFW0026)资助. （24GXFW0026）
