基于分布式空时干扰对齐的MIMO干扰信道自由度研究

doi:10.11959/j.issn.1000-436x.2018017

通信学报 ›› 2018, Vol. 39 ›› Issue (1): 137-146.doi: 10.11959/j.issn.1000-436x.2018017

基于分布式空时干扰对齐的MIMO干扰信道自由度研究

应腾达,冯文江,蒋卫恒,刘国岭,姚楚楠,包涛涛

重庆大学通信工程学院，重庆 400044

修回日期:2017-10-30 出版日期:2018-01-01 发布日期:2018-02-07
作者简介:应腾达（1991-），男，浙江永康人，重庆大学博士生，主要研究方向为MIMO无线通信、信息论等。|冯文江（1963-），男，四川西充人，重庆大学教授、博士生导师，主要研究方向为宽带无线接入技术、认知无线电、通信信号处理等。|蒋卫恒（1985-），男，湖北枝江人，重庆大学讲师，主要研究方向为无线通信与网络、移动云计算等。|刘国岭（1989-），男，辽宁北票人，重庆大学硕士生，主要研究方向为MIMO无线通信、全双工等。|姚楚楠（1994-），男，湖南娄底人，重庆大学硕士生，主要研究方向为MIMO无线通信、移动边缘计算等。|包涛涛（1993-），男，湖北孝感人，重庆大学硕士生，主要研究方向为MIMO无线通信、图像处理等。
基金资助:
中央高校基本科研业务费基金资助项目(106112016CDJXY500002);重庆市基础科学与前沿技术研究重点基金资助项目(cstc2017jcyjBX0047);重庆市基础科学与前沿技术研究重点基金资助项目(cstc2015jcyjA40021)

Degrees of freedom of MIMO interference channel with distributed space-time interference alignment

Tengda YING,Wenjiang FENG,Weiheng JIANG,Guoling LIU,Chunan YAO,Taotao BAO

College of Communication Engineering,Chongqing University,Chongqing 400044,China

Revised:2017-10-30 Online:2018-01-01 Published:2018-02-07
Supported by:
The Fundamental Research Funds for the Central Universities(106112016CDJXY500002);The Key Project of Chongqing Basic Science and Advanced Technology Research(cstc2017jcyjBX0047);The Key Project of Chongqing Basic Science and Advanced Technology Research(cstc2015jcyjA40021)

摘要/Abstract

摘要：

针对K个用户MIMO干扰信道（IC），研究基于分布式空时干扰对齐（DSTIA）的信道可达自由度。利用分布式当前和过期发射端信道状态信息（CSIT）设计预编码，分别给出MISO系统可达自由度关于CSI反馈时延和反馈频率的折中域；分析发射端天线数对MISO系统可达自由度的影响，导出逼近系统自由度外界的条件。进一步研究 MIMO 系统接收端天线数对系统自由度的影响，给出保持系统可达自由度的 CSI 反馈时延范围。理论和数值分析表明，所提 DSTIA 方案能充分消除用户间干扰，获得更高的自由度增益，缩小可达界与外界的差距，提高系统的可达速率。

关键词: 自由度, 分布式空时干扰对齐, MIMO干扰信道, CSI有限反馈

Abstract:

In the context of K-user MIMO interference channel (IC),achievable degrees of freedom (DoF) were investigated with distributed space-time interference alignment (DSTIA).By precoding with distributed current and outdated channel state information at the transmitters (CSIT),new tradeoff regions between achievable DoF and CSI feedback delay/frequency were achieved for MISO system.The impact of the number of transmit antennas on achievable DoF in the MISO system was analyzed,revealing that DoF results approach to the outer bound as the number of transmit antennas increases.Further,the impact of the number of receive antennas on achievable DoF was characterized,deriving the range of CSI feedback delay that preserves achievable DoF in the MIMO system.Theoretical and numerical analyses show that,the proposed DSTIA scheme can achieve better sum-DoFs by eliminating inter-user interference perfectly,tighten the gap between achievable DoF and outer bound,as well as improve the achievable rate of the system.

Key words: degree of freedom, distributed space-time interference alignment, MIMO interference channel, limited CSI feedback

中图分类号:

TN919.1

应腾达,冯文江,蒋卫恒,刘国岭,姚楚楠,包涛涛. 基于分布式空时干扰对齐的MIMO干扰信道自由度研究[J]. 通信学报, 2018, 39(1): 137-146.

Tengda YING,Wenjiang FENG,Weiheng JIANG,Guoling LIU,Chunan YAO,Taotao BAO. Degrees of freedom of MIMO interference channel with distributed space-time interference alignment[J]. Journal on Communications, 2018, 39(1): 137-146.

图/表 11

图1

图2

图3

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表1

K个用户M×1(M≥1) MISO IC不同方案下的总自由度"

对齐方案	CSIT	用户平均自由度
本文方案（DSTIA）	分布式混合	$\frac{M}{1 + M}$
文献[15]方案（BIA）	无	$\frac{M}{M + K - 1}$
文献[20]方案（GMK）	分布式延时	$\frac{K}{K \cdot K - K + 1}$
文献[16]方案（TAV）	分布式延时	$\frac{2}{K + 1}$
文献[17]方案（HC）	分布式延时	$\frac{b_{K}}{K}$

表1

图8

图9

图10

参考文献 22

[1]	LEE N , HEATH R . Space-time interference alignment and degree-of-freedom regions for the MISO broadcast channel with periodic CSI feedback[J]. IEEE Transactions on Information Theory, 2014,60(1): 515-528.
[2]	LEE N , TANDON R , HEATH R W . Distributed space-time interference alignment with moderately delayed CSIT[J]. IEEE Transactions on Wireless Communications, 2015,14(2): 1048-1059.
[3]	YING T , FENG W , SU W ,et al. On the degrees of freedom of MIMO X networks with non-cooperation transmitters[J]. IEEE Transactions on Wireless Communications, 2017,16(4): 2490-2504.
[4]	YING T , FENG W , LIU G . Space-time interference alignment:DoF of two-user MIMO X channel with alternating CSIT[J]. IEEE Communications Letters, 2017,21(5): 1167-1170.
[5]	孙献, 赵晓晖 . 认知无线电系统中干扰对齐的自由度分析[J]. 通信学报, 2016,37(2): 179-189.
	SUN X , ZHAO X H . Analysis on the degree of freedom of interference alignment in cognitive radio[J]. Journal on Communications, 2016,37(2): 179-189.
[6]	朱世磊, 郑娜娥, 王盛 ,等. 基于用户协作的认知MIMO干扰网络自由度上界研究[J]. 通信学报, 2015,36(8): 153-160.
	ZHU S L , ZHENG N E , WANG S ,et al. Upper bound of degrees of freedom in cognitive MIMO interference network with user cooperation[J]. Journal on Communications, 2015,36(8): 153-160.
[7]	CADAMBE V R , JAFAR S A . Interference alignment and degrees of freedom of the K-user interference channel[J]. IEEE Transactions on Information Theory, 2008,54(8): 3425-3441.
[8]	JAFAR S A , FAKHEREDDIN M J . Degrees of freedom for the MIMO interference channel[J]. IEEE Transactions on Information Theory, 2007,53(7): 2637-2642.
[9]	GOU T , JAFAR S A . Degrees of freedom of the K-user M×N MIMO interference channel[J]. IEEE Transactions on Information Theory, 2010,56(12): 6040-6057.
[10]	WANG C , SUN H , JAFAR S A . Genie chains and the degrees of freedom of the K-user MIMO interference channel[C]// The 2012 IEEE International Symposium on Information Theory. 2012: 2476-2480.
[11]	SOMEKH O , SIMEONE O , BAR-NESS Y ,et al. Cooperative multi-cell zero-forcing beamforming in cellular downlink channels[J]. IEEE Transactions on Information Theory, 2009,55(7): 3206-3219.
[12]	HUANG C , JAFAR S A , SHAMAI S , VISHWANATH S . On degrees of freedom region of MIMO networks without channel state information at transmitters[J]. IEEE Transactions on Information Theory, 2012,58(2): 849-857.
[13]	ZHU Y , GUO D . The degrees of freedom of isotropic MIMO interference channels without state information at the transmitters[J]. IEEE Transactions on Information Theory, 2012,58(1): 341-352.
[14]	VAZE C S , VARANASI M K . The degree-of-freedom regions of MIMO broadcast,interference,and cognitive radio channel with no CSIT[J]. IEEE Transactions on Information Theory, 2012,58(8): 5354-5374.
[15]	LU Y , ZHANG W . Blind interference alignment in the K-user MISO interference channel[C]// IEEE GLOBECOM. 2013: 3464-3469.
[16]	TORRELLAS M , AGUSTIN A , VIDAL J . On the degrees of freedom of the K-user MISO interference channel with imperfect delayed CSIT[C]// The 2014 IEEE International Conference on Acoustic,Speech and Signal Processing. 2014: 1155-1159.
[17]	HAO C , CLERCKX B . Degrees-of-freedom of the K-user MISO interference channel with delayed local CSIT[C]// IEEE International Conference on Communications. 2015: 4217-4222.
[18]	ABDOLI M J , GHASEMI A , KHANDANI A K . On the degrees of freedom of K-user SISO interference and X channels with delayed CSIT[J]. IEEE Transactions on Information Theory, 2013,59(10): 6542-6561.
[19]	VAZE C S , VARANASI M K . The degrees of freedom region and interference alignment for the MIMO interference channel with delayed CSIT[J]. IEEE Transactions on Information Theory, 2012,58(7): 4396-4417.
[20]	GHASEMI A , MOTAHARI A S , KHANDANI A K . Interference alignment for the MIMO interference channel with delayed local CSIT,2011[J]. arXiv:arXiv 1102.5673
[21]	LEE N , HEATH R W . CSI feedback delay and degrees of freedom gain trade-off for the MISO interference channel[C]// The 46th Asilomar Conference on Signals,Systems and Computers. 2012: 1851-1854.
[22]	GHOSH A , ZHANG J , ANDREWS J G ,et al. Fundamentals of LTE[M]. Englewood Cliffs,USA: Prentice-Hall, 2010.

基于分布式空时干扰对齐的MIMO干扰信道自由度研究

Degrees of freedom of MIMO interference channel with distributed space-time interference alignment

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