基于能量效率的双层非正交多址系统资源优化算法

高东; 梁子林

doi:10.11999/JEIT190048

基于能量效率的双层非正交多址系统资源优化算法

doi: 10.11999/JEIT190048

高东^,,
梁子林

北京化工大学信息科学与技术学院北京 100029

详细信息

作者简介:
高东：男，1982年生，副教授，研究方向为流程行业仿真建模、无线通信

梁子林：男，1994年生，硕士生，研究方向为移动无线通信资源管理

通讯作者:
高东　gaodong@mail.buct.edu.cn

中图分类号: TN929.5
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- 被引次数: 4
出版历程
- 收稿日期: 2019-01-17
- 修回日期: 2019-11-05
- 网络出版日期: 2020-01-15
- 刊出日期: 2020-06-04

Energy Efficient Based Resource Optimization Algorithm for Two-tier Non-Orthogonal Multiple Access Network

Dong GAO^,,
Zilin LIANG

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China

摘要

摘要:
该文针对双层非正交多址系统(NOMA)中基于能量效率的资源优化问题，该文提出基于双边匹配的子信道匹配方法和基于斯坦科尔伯格(Stackelberg)博弈的功率分配算法。首先将资源优化问题分解成子信道匹配与功率分配两个子问题，在功率分配问题中，将宏基站与小型基站层视作斯坦科尔伯格博弈中的领导者与追随者。然后将非凸优化问题转换成易于求解的方式，分别得到宏基站和小型基站层的功率分配。最后通过斯坦科尔伯格博弈，得到系统的全局功率分配方案。仿真结果表明，该资源优化算法能有效地提升双层NOMA系统的能量效率。
- 非正交多址 /
- 博弈论 /
- 能量效率 /
- 资源分配
Abstract:
A subchannel matching method based on bilateral matching and a power allocation algorithm based on Stackelberg game are proposed for two-tier Non-Orthogonal Multiple Access (NOMA) network. Firstly, the resource optimization problem is decomposed into two subproblems—sub-channel matching and power allocation. In the power allocation, the macro base station layer and small base station layer are regarded as the leader and followers in the Stackelberg game. Then, the non-convex optimization problem is converted into a way to be easily solved, and the power allocation of the both layers are obtained respectively. Finally, the global power allocation scheme of the system is obtained by using Stackelberg game. The simulation results show that the proposed resource optimization algorithms can effectively improve the energy efficiency of the two-tier NOMA system.
- Non-Orthogonal Multiple Access (NOMA) /
- Game /
- Energy efficiency /
- Resource allocation

HTML全文

图 1 SBS1中各子信道的效率

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图 2 MBS能量效率随迭代次数变化

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图 3 SBS的能量效率随迭代次数变化

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图 4 不同功率分配方法的比较

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表 1 不同路径衰减公式

路径	公式
宏基站到宏用户	${\rm{Pl}}\left( r \right) = 15.3 + 37.6\lg r$
宏基站到小型基站用户	${\rm{Pl}}\left( r \right) = 15.3 + 37.6\lg r + {L_w}$
小型基站到其用户	${\rm{Pl}}\left( r \right) = 38.46 + 20\lg r + 0.7r$
小型基站到其他小型基站用户	$\begin{aligned} {\rm{Pl} }\left( r \right) =\,& \max \left( \begin{array}{l} \left( {15.3 + 37.6\lg \left( {r - {R_s} } \right)} \right) \\ \left( {38.46 + 20\lg \left( {r - {R_s} } \right)} \right) \\ \end{array} \right) \\ &+ 0.7{R_s} + 2{L_w} \end{aligned}$
小型基站到宏用户	$\begin{aligned} {\rm{Pl} }\left( r \right) =\,& \max \left( \begin{array}{l} \left( {15.3 + 37.6\lg \left( {r - {R_s} } \right)} \right) \\ \left( {38.46 + 20\lg \left( {r - {R_s} } \right)} \right) \\ \end{array} \right) \\ &+ 0.7{R_s} + {L_w} \end{aligned}$

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表 2 仿真参数

参数	值
宏基站半径 ${R_m}$	500 m
小型基站半径 ${R_s}$	10 m
墙渗透衰减 ${L_w}$	10 dB
系统带宽 $B$	30 MH
载波频率	2 GHz
对数正态阴影衰落方差	8 dB

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参考文献(14)

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施引文献

期刊类型引用(2)

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2.	徐勇军，刘子腱，李国权，陈前斌，林金朝. 基于NOMA的无线携能D2D通信鲁棒能效优化算法. 电子与信息学报. 2021(05): 1289-1297 . 本站查看