Sum-rate maximization in MIMO NOMA system with imperfect CSI

Yanjing SUN; Yang LIU; Jiasi ZHOU; Qi CAO; Song LI

doi:10.11959/j.issn.1000-436x.2019221

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Sum-rate maximization in MIMO NOMA system with imperfect CSI

Papers | 更新时间：2024-06-05

- Sum-rate maximization in MIMO NOMA system with imperfect CSI
- Journal on Communications Vol. 40, Issue 11, Pages: 94-100(2019)
- 作者机构：
  
  1. 中国矿业大学信息与控制工程学院，江苏徐州 221116
  2. 西安科技大学通信与信息工程学院，陕西西安 710600
  3. 香港中文大学（深圳）理工学院，广东深圳 518172
- 作者简介：
- 基金信息：
  
  Key Research ＆ Development Project for Science and Technology of Xuzhou of China(KC18105);Key Research ＆ Development Project for Science and Technology of Xuzhou of China(KC18068);The National Natural Science Foundation of China(51734009);The National Natural Science Foundation of China(51804304);The National Natural Science Foundation of China(61771417);The Natural Science Foundation of Jiangsu Province(BK20180640);Student Research Training Program(201910290020Z)
- DOI：10.11959/j.issn.1000-436x.2019221
  CLC： TN929.5
- Online First：2019-11，
  
  Published：25 November 2019
- 稿件说明：
移动端阅览
Yanjing SUN, Yang LIU, Jiasi ZHOU, et al. Sum-rate maximization in MIMO NOMA system with imperfect CSI[J]. Journal on Communications, 2019, 40(11): 94-100.
DOI：

Yanjing SUN, Yang LIU, Jiasi ZHOU, et al. Sum-rate maximization in MIMO NOMA system with imperfect CSI[J]. Journal on Communications, 2019, 40(11): 94-100. DOI： 10.11959/j.issn.1000-436x.2019221.

摘要

基于非完美信道状态信息，针对系统发射功率受限和用户速率需求约束下的系统和速率最大化问题，结合多输入多输出（MIMO）和非正交多址接入（NOMA）技术设计预编码和接收机。限定强用户的每条数据流都需要解码相应的弱用户信号以利用串行干扰技术消除弱用户信号的干扰，利用半正定规划和一阶泰勒展开将所形成的非凸优化问题转化为D.C.问题，并采用罚函数解决预编码秩为1的限制。仿真结果表明，相比于正交多址接入技术，所提出的D.C.算法可以提高系统和速率。

Abstract

In order to solve the problem of maximizing the sum rate under the constraints of transmission power limitation and users’ rates requirements

precoder and receiver were devised by combining multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) based on imperfect channel state information (CSI).To take advantage of successive interference cancellation (SIC) techniques to eliminate interference from weak user’s signal

each data stream of the strong user needed to decode the corresponding weak user’s signal.Since the problem formed was non-convex

it was converted into the problem with the difference of two convex functions (D.C.) by using semi-positive definite programming and first-order Taylor expansion

and a penalty function was used to solve the constraint of the rank of the precoding covariance matrix.The simulation results show that compared with the orthogonal multiple access technology

the proposed D.C.algorithm can improve system sum rate.

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references

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