基于协作多点传输的非线性顽健预编码

doi:10.11959/j.issn.1000-436x.2015173

摘要/Abstract

摘要：

提出了非线性顽健预编码算法，该算法利用下行信道误差的统计特性，重新设计了传统非线性预编码算法的前向矩阵、反馈矩阵以及缩放矩阵。计算机仿真表明当存在下行信道误差时，该算法的性能不仅优于传统的线性和非线性预编码，也优于现有的线性顽健预编码。此外，在协作多点传输中，用户具有不同的下行信道误差，这使现有的“best-first”排序算法失效。于是对该排序算法进行了改进，使其仍能降低非线性顽健预编码算法的平均误码率。

关键词: 无线通信, 协作多点传输, 非线性顽健预编码

Abstract:

A nonlinear robust precoding algorithm was proposed,which redesigned the feedback matrix，the forward matrix and the scaling matrix of the traditional tomlinson-harashima precoding algorithm based on the statistical characteristics of the downlink channel state information errors.Simulation results show that the nonlinear robust precoding algorithm can achieve better performance than the traditional linear and nonlinear precoding algorithms when the downlink channel state information errors exist.Due to the different downlink channel state information errors between user equipments in the coordinated multi-point transmission,the traditional “best-first” ordering algorithm was invalid.So an improved ordering algorithm was proposed to reduce the average bit error rate of the nonlinear robust precoding algorithm.

Key words: wireless communication, coordinated multipoint, non-linear robust precoding

顾浙骐,张志培. 基于协作多点传输的非线性顽健预编码[J]. 通信学报, 2015, 36(10): 140-148.

Zhe-qi GU,Zhong-pei ZHANG. Nonlinear robust precoding for coordinated multipoint transmission[J]. Journal on Communications, 2015, 36(10): 140-148.

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参考文献 16

[1]	JUNGNICKEL V , MANOLAKIS K , ZIRWAS W ,et al. The role of small cells,coordinated multipoint and massive MIMO in 5G[J]. IEEE Communications Magazine, 2014,52(5): 44-51.
[2]	LEE D , SEO H , CLERCKX B ,et al. Coordinated multipoint transmission and reception in LTE-advanced:deployment scenarios and operational challenges[J]. IEEE Communications Magazine, 2012,50(2): 148-155.
[3]	SHEU J S , HSIEH C H . Joint preprocessing techniques for downlink CoMP transmission in multipath fading channels[A]. 2012 IEEE Vehicular Technology Conference[C]. 2012. 1-5.
[4]	YANG C Y , HAN S Q , HOU X Y ,et al. How do we design CoMP to achieve its promised potential[J]. IEEE Transactions on Wireless Communications, 2013,20(1): 67-74.
[5]	RUI Y , LI M , CHENG P ,et al. Achievable rates of coordinated multi-point transmission schemes under imperfect CSI[A]. 2011 IEEE International Conference on Communications[C]. 2011. 43-49.
[6]	TAJER A , PRASAD N , WANG X D . Robust linear precoder design for multi-cell downlink transmission[J]. IEEE Transactions on Signal Processing, 2011,59(1): 235-251.
[7]	LAGEN S , AGUSTIN A , VIDAL J . Distributed inter-cluster interference management for CoMP-based cellular networks[A]. 2013 IEEE Global Communications Conference[C]. 2013. 4024-4029.
[8]	BOGALE T E , VANDENDORPE L , CHALISE B K . Robust transceiver optimization for downlink coordinated base station systems:distributed algorithm[J]. IEEE Transactions on Signal Processing, 2012,60(1): 337-350.
[9]	CASTANHEIRA D , SILVA A , GAMEIRO A . Linear and nonlinear precoding schemes for centralized multi-cell MIMO-OFDM systems[J]. Wireless Personal Communications, 2013,72(1): 759-777.
[10]	3GPP,TS 36.211.Physical Channels and Modulation[S]. 2010.
[11]	MARSCH P , FETTWEIS G P . Coordinated Multi-Point in Mobile Communications:From Theory to Practice[M]. Cambridge: Cambridge University PressPress, 2011.
[12]	WINDPASSINGER C , FISCHER R F H , VENCEL T ,et al. Precoding in multiantenna and multiuser communications[J]. IEEE Transactions on Wireless Communications, 2004,3(4): 1305-1316.
[13]	KAY S M . 统计信号处理基础:估计与检测理论[M]. 北京: 电子工业出版社, 2003. KAY S M . Fundamentals of Statistical Signal Processing:Estimation Theory[M]. Beijing: Publishing House of Electronics IndustryPress, 2003.
[14]	MAURER J , JALDéN J , SEETHALER D ,et al. Vector perturbation precoding revisited[J]. IEEE Transactions on Signal Processing, 2011,59(1): 315-328.
[15]	LIU J , KRZYMIEN W A . A novel nonlinear joint transmitter-receiver processing algorithm for the downlink of multiuser MIMO systems[J]. IEEE Transactions on Vehicular Technology, 2008,57(4): 2189-2204.
[16]	张贤达 . 矩阵分析与应用[M]. 北京: 清华大学出版社, 2004. ZHANG X D . Matrix Analysis and Applications[M]. Beijing: Tsinghua University PressPress, 2004.

矩阵基本运算	浮点运算次数（flops）	时间复杂度
c^T	n2	O(n)
A^{? 1}	4 ³n3	O(n ³)
A × B	2 ²n m	O(n²m)
对A的QR分解	6n ³?6n²	O(n³)