基于缓存机制的能耗最小化电力线通信网络设计

doi:10.19678/j.issn.1000-3428.0052269

计算机工程 ›› 2019, Vol. 45 ›› Issue (11): 91-96. doi: 10.19678/j.issn.1000-3428.0052269

基于缓存机制的能耗最小化电力线通信网络设计

李实, 石顾禹, 钱玉文

南京理工大学电子工程与光电技术学院, 南京 210094

收稿日期:2018-07-31 修回日期:2018-11-02 出版日期:2019-11-15 发布日期:2018-11-16
作者简介:李实(1993-),男,硕士研究生,主研方向为电力线通信、物联网;石顾禹,硕士研究生;钱玉文(通信作者),讲师。
基金资助:
国家自然科学基金（61602245）。

Energy Consumption Minimized Power Line Communication Network Design Based on Caching Mechanism

LI Shi, SHI Guyu, QIAN Yuwen

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Received:2018-07-31 Revised:2018-11-02 Online:2019-11-15 Published:2018-11-16

摘要/Abstract

摘要： 针对智能电网系统中部署电力线通信（PLC）存在通信稳定性差、传输能耗高的问题，设计一种基于缓存机制的PLC网络。引入多输入多输出的PLC通信机制，使得多个网络接入节点可同时向一个用户发送数据，提高网络通信的稳定性。通过设计最优预编码算法解决回程链路上的数据重复传输问题，从而最小化用户从缓存节点和服务器下载文件的能耗。仿真结果表明，该PLC网络可有效提高通信可靠性，节约系统资源。

关键词: 智能电网, 电力线通信, 多输入多输出, 缓存机制, 预编码

Abstract: Aiming at the problem of poor communication stability and high transmission energy consumption in the deployment of Power Line Communication(PLC) in smart power grid systems,a PLC network based on caching mechanism is proposed.The Multiple Input Multiple Output(MIMO) PLC communication mechanism is introduced,so that multiple network access nodes can simultaneously send data to one user,thereby improving the stability of network communication.An optimal precoding algorithm is designed to solve the problem of repeated data transmission on the backhaul link,thereby minimizing the energy consumption of users downloading files from cache nodes and servers.Simulation results show that the PLC network can effectively improve communication reliability and save system resources.

Key words: smart power grid, Power Line Communication(PLC), Multiple Input Multiple Output(MIMO), caching mechanism, precoding

中图分类号:

TN91

李实, 石顾禹, 钱玉文. 基于缓存机制的能耗最小化电力线通信网络设计[J]. 计算机工程, 2019, 45(11): 91-96.

LI Shi, SHI Guyu, QIAN Yuwen. Energy Consumption Minimized Power Line Communication Network Design Based on Caching Mechanism[J]. Computer Engineering, 2019, 45(11): 91-96.

https://www.ecice06.com/CN/Y2019/V45/I11/91

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