D2D中继辅助通信的能效优化算法研究

王雪; 金涛; 钱志鸿; 胡良帅; 王鑫

doi:10.11959/j.issn.1000-436x.2020048

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D2D中继辅助通信的能效优化算法研究

学术论文 | 更新时间：2024-06-05

- D2D中继辅助通信的能效优化算法研究
- Research on maximizing energy efficiency for relay-aided D2D communication
- 通信学报 2020年41卷第3期页码：71-79
- 作者机构：
  
  1. 吉林大学通信工程学院，吉林长春 130012
  2. 吉林农业大学信息技术学院，吉林长春 130118
- 作者简介：
  
  [ "王雪（1984- ），女，吉林白山人，博士，吉林大学副教授，主要研究方向为物联网与 D2D 通信技术" ]
  [ "金涛（1994- ），男，贵州贵阳人，吉林大学硕士生，主要研究方向为 D2D 通信技术" ]
  [ "钱志鸿（1957- ），男，吉林长春人，博士，吉林大学教授、博士生导师，主要研究方向为物联网、D2D、Wi-Fi、RFID等无线网络与通信技术" ]
  [ "胡良帅（1995- ），男，河南南阳人，吉林大学硕士生，主要研究方向为D2D通信技术" ]
  [ "王鑫（1982- ），女，吉林长春人，吉林大学博士生，吉林农业大学副教授，主要研究方向为D2D通信技术与无线传感器网络" ]
- 基金信息：
  
  国家自然科学基金资助项目(61771219);吉林大学基础科研基金资助项目(SXGJQY2017-9);吉林大学基础科研基金资助项目(2017TD-19)
- DOI：10.11959/j.issn.1000-436x.2020048
  中图分类号： TP393
- 网络出版日期：2020-03，
  
  纸质出版日期：2020-03-25
- 稿件说明：
移动端阅览
王雪, 金涛, 钱志鸿, 等. D2D中继辅助通信的能效优化算法研究[J]. 通信学报, 2020,41(3):71-79.

Xue WANG, Tao JIN, Zhihong QIAN, et al. Research on maximizing energy efficiency for relay-aided D2D communication[J]. Journal on communications, 2020, 41(3): 71-79.
王雪, 金涛, 钱志鸿, 等. D2D中继辅助通信的能效优化算法研究[J]. 通信学报, 2020,41(3):71-79. DOI： 10.11959/j.issn.1000-436x.2020048.

Xue WANG, Tao JIN, Zhihong QIAN, et al. Research on maximizing energy efficiency for relay-aided D2D communication[J]. Journal on communications, 2020, 41(3): 71-79. DOI： 10.11959/j.issn.1000-436x.2020048.

摘要

针对蜂窝系统下D2D中继辅助通信的能量效率优化问题，在保证蜂窝用户与D2D用户服务质量的条件下，提出了一种能效优化算法。首先，以最大化系统中总 D2D 用户能效为目标，将优化问题建模为一个混合整数非线性规划问题。然后，将能效优化问题转化为功率控制、中继选择和信道分配3个子问题分别进行求解。最后，利用Dinkelbach方法和拉格朗日乘子方法解决功率控制问题；利用所提出的基于Q学习的中继选择算法完成中继的选择；基于功率控制和中继选择，利用匈牙利算法完成信道的分配。仿真结果表明，与现有算法相比，所提算法可有效提高系统D2D用户的总能效。

Abstract

In order to optimize the energy efficiency for relay-aided D2D communication underlaying cellular network

an algorithm was proposed while guaranteeing the quality of service of D2D users and cellular users.Firstly

the problem was formulated as a mixed integer nonlinear fractional programming problem

with the goal of maximizing the energy efficiency of all D2D users.Then

the maximizing energy efficiency problem was divided into three sub-problems

such as power allocation

relay selection and subcarrier assignment.Finally

the power allocation problem

the relay selection problem and the subcarrier assignment problem were addressed by Dinkelbach method and Lagrange multiplier method

Q-learning and Hungarian algorithm

respectively.The simulation results show that the proposed algorithm can improve the total energy efficiency of D2D users compared with existing algorithms.

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Keywords

references

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