申滨^,,
赵书锋,
金纯
重庆邮电大学移动通信重点实验室 ??重庆 ??400065
基金项目:重庆市科委重点产业共性关键技术创新专项(cstc2015zdcy-ztzx40008)

详细信息

作者简介:申滨：男，1978年生，教授，研究方向为认知无线电、大规模MIMO等
赵书锋：男，1991年生，硕士生，研究方向为大规模MIMO信号检测
金纯：男，1966年生，教授，研究方向为无线通信信号处理、物联网等

通讯作者:申滨　 shenbin@cqupt.edu.cn

中图分类号:TN929.5

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出版历程

收稿日期:2018-01-25
修回日期:2018-05-29
网络出版日期:2018-08-14
刊出日期:2018-12-01

Low Complexity Iterative Parallel Interference Cancellation Detection Algorithms for Massive MIMO Systems

Bin SHEN^,,
Shufeng ZHAO,
Chun JIN
Chongqing Key Laboratory of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Funds:The Innovation Project of the Common Key Technology of Chongqing Science and Technology Industry (cstc2015zdcy-ztzx40008)


摘要
摘要:基于干扰消除思想该文提出一种适用于大规模MIMO系统上行链路的低复杂度迭代并行干扰消除算法，在算法实现中避免了线性检测算法所需的高复杂度$({\cal O}({K^3}))$矩阵求逆运算，将复杂度保持在$({\cal O}({K^2}))$。在此基础上，引入噪声预测机制，提出一种基于噪声预测的迭代并行干扰消除算法，进一步提高了硬判决检测性能。考虑天线间残留干扰，将干扰消除思想运用到软判决中，最后提出一种基于迭代并行干扰消除的低复杂度软输出信号检测算法。仿真结果表明：提出的信号检测方法的复杂度优于MMSE检测算法，经过几次简单的迭代，算法即快速收敛并获得接近甚至优于MMSE检测算法的误码率性能。
关键词:大规模MIMO/
低复杂度/
迭代并行干扰消除/
噪声预测/
软输出
Abstract:Based on interference cancellation method, a low complexity Iterative Parallel Interference Cancellation (IPIC) algorithm is proposed for the uplink of massive MIMO systems. The proposed algorithm avoids the high complexity matrix inversion required by the linear detection algorithm, and hence the complexity is maintained only at $({\cal O}({K^2}))$. Meanwhile, the noise prediction mechanism is introduced and the noise-prediction aided iterative parallel interference cancellation algorithm is proposed to improve further the detection performance. Considering the residual inter-antenna interference, a low-complexity soft output signal detection algorithm is proposed as well. The simulation results show that the complexity of all the proposed signal detection methods are better than that of the MMSE detection algorithm. With only a small number of iterations, the proposed algorithm achieves its performance quite close to or even surpassing that of the MMSE algorithm.
Key words:Massive MIMO/
Low-complexity/
Iterative Parallel Interference Cancellation (IPIC)/
Noise-prediction/
Soft output



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