电子学报 ›› 2021, Vol. 49 ›› Issue (10): 1952-1959.DOI: 10.12263/DZXB.20210176

所属专题: 无线光通信及其组网技术

• 无线光通信及其组网技术 • 上一篇    下一篇

基于NOMA技术的PLC-VLC用户配对和子载波分配方法

刘焕淋1, 黄美娜1, 陈勇2, 杨健1, 黄冰川1, 张彤1   

  1. 1.重庆邮电大学通信与信息工程学院,重庆 400065
    2.重庆邮电大学自动化学院,重庆 400065
  • 收稿日期:2021-01-27 修回日期:2021-07-11 出版日期:2021-10-25 发布日期:2021-11-29
  • 作者简介:刘焕淋 女,1970年生,重庆人.重庆邮电大学教授、博士和硕士生导师.主要研究方向为光通信技术和网络. E-mail:liuhl@cqupt.edu.cn
    黄美娜 女,1994年生,广东潮州人.重庆邮电大学硕士研究生.主要研究方向为可见光通信技术.
    陈 勇 男,1963年生,重庆人.重庆邮电大学教授、硕士生导师.主要研究方向为自动控制和光信号处理.
  • 基金资助:
    国家自然科学基金(NSFC 51977021);重庆市自然科学基金面上项目(2019 jcyj-msxmX0613)

User Pairing and Subcarrier Allocation for PLC-VLC Based on NOMA Technology

Huan-lin LIU1, Mei-na HUANG1, Yong CHEN2, Jian YANG1, Bing-chuan HUANG1, Tong ZHANG1   

  1. 1.School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2.School of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Received:2021-01-27 Revised:2021-07-11 Online:2021-10-25 Published:2021-11-29

摘要:

为了提高室内电力线通信和可见光通信(PLC-VLC)系统的吞吐量和用户体验的公平性,该文提出一种改进遗传算法优化用户配对联合子载波分配(IGA-JUPSA)方法.在IGA-JUPSA的用户配对阶段,设计了最优的非正交多址技术(NOMA)用户配对方法,提高PLC-VLC系统的吞吐量;在IGA-JUPSA 的子载波分配阶段,设计NOMA与正交多址技术结合的子载波分配策略,设计改进的遗传算法优化不同NOMA组的子载波分配,提高系统的吞吐量和用户体验的公平性.仿真结果表明,所提的用户配对和子载波联合方法可以提高PLC-VLC系统的吞吐量和用户体验的公平性.

关键词: PLC-VLC系统, NOMA, 子载波分配, 改进遗传算法, 系统吞吐量

Abstract:

For improving the throughput and the fairness of user experience of indoor power line communications-visible light communications (PLC-VLC) system, an improved genetic algorithm based joint user pairing and subcarrier allocation (IGA-JUPSA) method is proposed in the paper. In the user pairing stage, a method of optimal non-orthogonal multiple access (NOMA) user pairing is designed to improve the throughput of PLC-VLC system. During the process of subcarrier allocation, the subcarrier allocation scheme combined NOMA with orthogonal multiple access (OMA) is proposed, and the improved genetic algorithm is used to optimize the subcarrier allocation for different NOMA groups for improving the system throughput and user fairness. Simulation results show that the proposed IGA-JUPSA can improve the throughput of PLC-VLC cascaded system and the fairness experience of users.

Key words: PLC-VLC system, NOMA, sub-carrier allocation, improved genetic algorithm, system throughput

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