基于时间反演的上行NOMA系统能效优化算法

doi:10.12305/j.issn.1001-506X.2022.03.33

系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (3): 1007-1013.doi: 10.12305/j.issn.1001-506X.2022.03.33

基于时间反演的上行NOMA系统能效优化算法

陈善学¹, 吴生金^2,*, 谷博文³

1. 重庆邮电大学通信与信息工程学院, 重庆 400065
2. 移动通信教育部工程研究中心, 重庆 400065
3. 移动通信技术重庆市重点实验室, 重庆 400065

收稿日期:2020-12-09 出版日期:2022-03-01 发布日期:2022-03-10
通讯作者: 吴生金
作者简介:陈善学(1966—), 男, 教授, 博士, 主要研究方向为高光谱图像处理、无线通信技术|吴生金(1995—), 男, 硕士研究生, 主要研究方向为无线通信、非正交多址接入网络资源分配|谷博文(1996—), 男, 硕士研究生, 主要研究方向为中继通信、移动边缘计算、无线资源分配
基金资助:
国家自然科学基金(61771084);重庆市教委科学技术项目(KJQN201800834)

Energy efficiency optimization algorithm for uplink NOMA systems with time reversal

Shanxue CHEN¹, Shengjin WU^2,*, Bowen GU³

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Engineering Research Center of Mobile Communications of the Ministry of Education, Chongqing 400065, China
3. Chongqing Key Laboratory of Mobile Communications Technology, Chongqing 400065, China

Received:2020-12-09 Online:2022-03-01 Published:2022-03-10
Contact: Shengjin WU

摘要/Abstract

摘要：

为了解决上行非正交多址接入(non-orthogonal multiple access, NOMA)系统在多径环境下传输效率较低问题, 提出了一种基于时间反演(time reversal, TR)的上行NOMA网络资源分配算法。首先, 利用TR技术独特的空时聚焦特性, 增大信号的接收强度。其次, 考虑用户最小传输速率约束和用户最大发射功率约束, 建立了系统能效最大化资源分配模型。然后, 利用分式规划理论和连续凸近似方法, 将所提出的非凸优化问题转化为凸优化问题, 并利用拉格朗日对偶理论求得全局最优解。仿真结果表明, 相较于传统算法, 所提出的算法具有较好的能效。

关键词: 时间反演, 非正交多址接入, 资源分配, 能效最大化

Abstract:

In order to solve the problem of low transmission efficiency in non-orthogonal multiple access (NOMA) system, a time reversal (TR) based uplink NOMA network resource allocation algorithm is proposed. Firstly, the signal receiving intensity of user is improved by the spatial-temporal focusing of the TR technology. Next, considering the user's minimum transmission rate constraint and the user's maximum transmission power constraint, a resource allocation model for maximizing system energy efficiency is established. Then, by using fractional programming theory and continuous convex approximation method, the proposed non-convex optimization problem is transformed into a convex optimization problem, and the global optimal solution is obtained by using Lagrangian duality theory. Simulation results show that compared with traditional algorithms, the proposed algorithm has better energy efficiency.

Key words: time reversal, non-orthogonal multiple access(NOMA), resource allocation, energy efficiency maximization

中图分类号:

TN929.5

陈善学, 吴生金, 谷博文. 基于时间反演的上行NOMA系统能效优化算法[J]. 系统工程与电子技术, 2022, 44(3): 1007-1013.

Shanxue CHEN, Shengjin WU, Bowen GU. Energy efficiency optimization algorithm for uplink NOMA systems with time reversal[J]. Systems Engineering and Electronics, 2022, 44(3): 1007-1013.

图/表 6

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参数	参数值
电路损耗功率P_f/W	0.2
最小传输速率R_m^min/(bit·(s·Hz)^-1)	1
用户数N_t	2
背景噪声功率σ²/W	10^-8
最大迭代次数T_max	10⁴
收敛精度ξ	10^-6

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基于时间反演的上行NOMA系统能效优化算法

Energy efficiency optimization algorithm for uplink NOMA systems with time reversal

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