PLC-RF无线传输网络中的能效最优设计方法

蒋跃宇; 承昊新; 王康; 戴文骏; 刘笑宇

doi:10.11959/j.issn.1000-0801.2023100

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PLC-RF无线传输网络中的能效最优设计方法

研究与开发 | 更新时间：2024-06-05

- PLC-RF无线传输网络中的能效最优设计方法
- Design method of energy efficiency optimization in PLC-RF wireless transmission networks
- 电信科学 2023年39卷第4期页码：111-119
- 作者机构：
  
  1. 国网常州供电公司信息通信分公司，江苏常州 213000
  2. 南京邮电大学通信与信息工程学院，江苏南京 210003
- 作者简介：
  
  [ "蒋跃宇（1979- ），男，国网常州供电公司信息通信分公司高级工程师，主要研究方向为电力系统通信" ]
  [ "承昊新（1988- ），女，国网常州供电公司信息通信分公司高级工程师，主要研究方向电力系统通信" ]
  [ "王康（1994- ），男，国网常州供电公司信息通信分公司高级工程师，主要研究方向为电力系统通信" ]
  [ "戴文骏（1990- ），男，国网常州供电公司信息通信分公司高级工程师，主要研究方向为电力系统通信" ]
  [ "刘笑宇（1996- ），男，南京邮电大学博士生，主要研究方向为电力系统通信" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023100
  中图分类号： TN92
- 网络出版日期：2023-04，
  
  纸质出版日期：2023-04-20
- 稿件说明：
移动端阅览
蒋跃宇, 承昊新, 王康, 等. PLC-RF无线传输网络中的能效最优设计方法[J]. 电信科学, 2023,39(4):111-119.

Yueyu JIANG, Haoxin CHENG, Kang WANG, et al. Design method of energy efficiency optimization in PLC-RF wireless transmission networks[J]. Telecommunications science, 2023, 39(4): 111-119.
蒋跃宇, 承昊新, 王康, 等. PLC-RF无线传输网络中的能效最优设计方法[J]. 电信科学, 2023,39(4):111-119. DOI： 10.11959/j.issn.1000-0801.2023100.

Yueyu JIANG, Haoxin CHENG, Kang WANG, et al. Design method of energy efficiency optimization in PLC-RF wireless transmission networks[J]. Telecommunications science, 2023, 39(4): 111-119. DOI： 10.11959/j.issn.1000-0801.2023100.

摘要

针对电力线通信（PLC）和射频（RF）无线通信混合传输的室内通信场景，提出了一种基于角度信息的信道状态信息（AI-CSI）的能效优先传输方案。首先，Wi-Fi无线网络和PLC网络分别作为主网络和次级网络，并且采用认知无线电技术来提高频谱效率的情况下，建立次级网络总能效最大化为目标函数的优化问题。其次，为了求解该问题，通过基于AI-CSI的迫零波束成形方法，获得波束成形权矢量，并进一步提出Dinkelbach与拉格朗日乘子法相结合的优化方法，进行最优的功率分配。最后，计算机仿真结果不仅验证了所提方案的有效性和优越性，而且分析了中继天线数和用户个数等典型参数对系统能效带来的影响，从而为实际系统设计提供了参考和依据。

Abstract

An energy efficiency optimization transmission scheme using angular information-based channel state information (AI-CSI) was proposed for indoor communications

which integrated the power line communication (PLC) with radio frequency (RF) wireless communication.Specifically

by considering that the Wi-Fi wireless network and the PLC network were the primary and secondary networks

an optimization problem was established to maximize the total energy efficiency of the secondary network.Then

in order to solve the problem

the beam forming weight vector was obtained by using zero-forcing method based on AI-CSI

and an optimization algorithm joint Dinkelbach with Lagrange multiplier was further presented to achieve the optimal power allocation.Finally

computer simulations were given to verify the effectiveness and superiority of the proposed scheme.Besides

the influence of key parameters such as the number of employed antennas and served users was also analyzed.

关键词

Keywords

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