可见光通信网络节能资源分配策略研究

徐文艳; 唐涛; 段田东; 杨森

doi:10.37188/OPE.20202807.1577

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可见光通信网络节能资源分配策略研究

信息科学 | 更新时间：2020-08-13

- 可见光通信网络节能资源分配策略研究
- Research on energy-efficient resource allocation for user-centric visible light communication
- 光学精密工程 2020年28卷第7期页码：1577-1587
- 作者机构：
  
  战略支援部队信息工程大学, 河南郑州 450001
- 作者简介：
  
  [ "徐文艳(1983-), 女, 安徽界首人, 讲师, 中国民航大学获得硕士学位, 主要从事信号处理、可见光通信网络协作传输等方面的研究。E-mail:12551287@qq.com" ]
- 基金信息：
  
  国家自然科学基金资助项目(61671477)
- DOI：10.37188/OPE.20202807.1577
  中图分类号： TN929.1
- 收稿日期：2020-02-20，
  
  修回日期：2020-04-01，
  
  录用日期：2020-4-1，
  
  纸质出版日期：2020-07-15
- 稿件说明：
移动端阅览
徐文艳, 唐涛, 段田东, 等. 可见光通信网络节能资源分配策略研究[J]. 光学精密工程, 2020,28(7):1577-1587.

Wen-yan XU, Tao TANG, Tian-dong DUAN, et al. Research on energy-efficient resource allocation for user-centric visible light communication[J]. Optics and precision engineering, 2020, 28(7): 1577-1587.
徐文艳, 唐涛, 段田东, 等. 可见光通信网络节能资源分配策略研究[J]. 光学精密工程, 2020,28(7):1577-1587. DOI： 10.37188/OPE.20202807.1577.

Wen-yan XU, Tao TANG, Tian-dong DUAN, et al. Research on energy-efficient resource allocation for user-centric visible light communication[J]. Optics and precision engineering, 2020, 28(7): 1577-1587. DOI： 10.37188/OPE.20202807.1577.

摘要

本文针对以用户为中心的可见光通信(Visible Light Communication，VLC)网络协作传输技术的能量效率(Energy Efficiency，EE)问题，提出了联合小区形成和功率分配优化算法，能够实现能源效率最大化。首先提出一种新的用户聚类算法，引入类间类内划分(Between-Within Proportion，BWP)聚类指标有效反映用户聚类之间的分离性以及紧密性，确定最优聚类数目并根据提出的度量值将接入点(Access Point，AP)与聚类用户关联形成虚拟小区。其次在服务质量(Quality of Service，QoS)的约束下联合功率分配，利用Dinkelbach算法和对偶投影梯度算法迭代求解，得到最佳功率分配方案以及小区中参与通信的Aps，有效提高了系统能源效率。仿真结果表明，与传统算法相比，本文所提算法显著提高能源效率。

Abstract

An algorithm for joint cell formation and power distribution in a visible light communication network was proposed to maximize energy efficiency. Based on user-centric design

a novel user clustering algorithm was proposed

and a between-within proportion clustering index was introduced to effectively reflect the separability and compactness of user clustering

determine the optimal clustering number

and form virtual communities by associating Access Points (APs) with clustering users according to the proposed measurement. Under the constraint of quality of service

the joint power distribution was solved iteratively using the Dinkelbach algorithm and dual projection sub-gradient algorithm. The optimal power distribution scheme and APs participating in the communication within the cell were obtained

effectively improving the energy efficiency. Simulation results show that the proposed algorithm can significantly improve energy efficiency compared with traditional algorithms.

关键词

Keywords

references

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