D2D中继辅助通信的能效优化算法研究

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

通信学报 ›› 2020, Vol. 41 ›› Issue (3): 71-79.doi: 10.11959/j.issn.1000-436x.2020048

D2D中继辅助通信的能效优化算法研究

王雪¹,金涛¹,钱志鸿¹,胡良帅¹,王鑫^1,²

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

修回日期:2020-02-20 出版日期:2020-03-25 发布日期:2020-03-31
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
基金资助:
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)

Research on maximizing energy efficiency for relay-aided D2D communication

Xue WANG¹,Tao JIN¹,Zhihong QIAN¹,Liangshuai HU¹,Xin WANG^1,²

¹ College of Communication Engineering,Jilin University,Changchun 130012,China
² College of Information ＆Technology,Jilin Agricultural University,Changchun 130118,China

Revised:2020-02-20 Online:2020-03-25 Published:2020-03-31
Supported by:
The National Natural Science Foundation of China(61771219);Fundamental Research Funds of Jilin University(SXGJQY2017-9);Fundamental Research Funds of Jilin University(2017TD-19)

摘要/Abstract

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。

关键词: D2D通信, 中继选择, 功率控制, 信道分配, 能量效率

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.

Key words: D2D communication, relay selection, power control, subcarrier assignment, energy efficiency

中图分类号:

TP393

王雪,金涛,钱志鸿,胡良帅,王鑫. 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,Liangshuai HU,Xin WANG. Research on maximizing energy efficiency for relay-aided D2D communication[J]. Journal on Communications, 2020, 41(3): 71-79.

图/表 8

图1

图2

表1

实验仿真参数"

参数	取值
小区半径/m	500
高斯白噪声N₀/dBm	-114
系统带宽W/kHz	180
电路功率P_cir/mW	50
蜂窝链路路径损耗模型/dB	128.1+37.6lnd
D2D链路路径损耗模型/dB	140+40lnd
蜂窝链路最小传输速率 $R_{\min}^{C} / (M b i t \cdot s^{- 1})$	0.9
D2D链路最小传输速率 $R_{\min}^{D} / (M b i t \cdot s^{- 1})$	0.9
D2D用户间最大传输距离D_max/m	50～150
蜂窝用户数K/个	10～20
D2D用户数N/对	5～15
中继数L/个	50～150

表1

图3

图4

图5

图6

图7

参考文献 18

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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

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