基于优化比特分配的有限反馈干扰对齐方案

doi:10.11959/j.issn.1000-436x.2017215

通信学报 ›› 2017, Vol. 38 ›› Issue (11): 1-12.doi: 10.11959/j.issn.1000-436x.2017215

• 学术论文 • 下一篇

基于优化比特分配的有限反馈干扰对齐方案

谢显中,李丹,雷维嘉,张森林

重庆邮电大学个人通信研究所，重庆 400065

修回日期:2017-07-17 出版日期:2017-11-01 发布日期:2017-12-13
作者简介:谢显中（1966-），男，四川通江人，博士，重庆邮电大学教授、博士生导师，主要研究方向为干扰对齐、认知无线电、移动通信技术等。|李丹（1989-），女，四川自贡人，重庆邮电大学硕士生，主要研究方向为干扰对齐技术。|雷维嘉（1969-），男，云南元谋人，重庆邮电大学教授、硕士生导师，主要研究方向为无线通信技术、嵌入式系统等。|张森林（1987-），男，重庆人，重庆邮电大学硕士生，主要研究方向为干扰对齐技术。
基金资助:
国家自然科学基金资助项目(61271259);国家自然科学基金资助项目(61301123);国家自然科学基金资助项目(61471076);重庆市教委科学技术研究基金资助项目(KJ130536);长江学者和创新团队发展计划基金资助项目(IRT1299);重庆市科委重点实验室专项基金资助项目(CSTC2012zbsy006);安徽省教育厅基金资助项目(AQKJ2015B008)

Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks

Xian-zhong XIE,Dan LI,Wei-jia LEI,Sen-lin ZHANG

Institute of Personal Communications,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

Revised:2017-07-17 Online:2017-11-01 Published:2017-12-13
Supported by:
The National Natural Science Foundation of China(61271259);The National Natural Science Foundation of China(61301123);The National Natural Science Foundation of China(61471076);The Science and Technology Research Project of Chongqing Education Commission(KJ130536);The Changjiang Scholars and Innovative Research Team Plan(IRT1299);The Special Fund of Chongqing Key Laboratory(CSTC2012zbsy006);The Project of Educa-tion Department of Anhui Province(AQKJ2015B008)

摘要/Abstract

摘要：

针对多小区MIMO上行链路中有限反馈干扰对齐方案的不足，给出一种基于优化比特分配的有限反馈干扰对齐方案。为克服低 SNR 时频谱效率的损失，通过最大化用户的信号功率与泄露到其他小区的干扰与噪声功率之和的比值来求预编码，基于最大化每个数据流的信干噪比来设计干扰抑制矩阵。进一步，为克服传统比特分配方案反馈比特利用度不高的问题，给出一种新颖的比特分配方案来改善比特分布，减小了量化误差的影响。仿真实验表明，本算法能有效减少量化误差对系统性能的影响并显著提高系统的比特利用率，使有限反馈CSI时的干扰对齐性能得以提升。

关键词: 干扰对齐, 有限反馈, 比特分配, 量化误差, 比特利用度

Abstract:

A novel limited feedback for interference alignment algorithm was proposed based on the disadvantages of traditional limited feedback interference alignment schemes for MIMO uplink.Unlike the traditional linear interference alignment,an iterative scheme was presented.The pre-coder was designed through maximizing the target signal to the interference leakage and noise ratio,and interference suppression matrix was designed by maximizing the signal to interference plus noise ratio for each data stream,which can come over rate loss in low SNR.In addition,the bit allocation of traditional limited feedback schemes were based on the mean of interference leakage,which were not perfect and make the total number of the effective bits less than the bits provided by system.Thus,a novel bit allocation scheme was provided that improving bit utilize and decreasing quantization error.Theoretical analysis and simulation experiments show that compare to the existed classical algorithms,the algorithm was a stepwise enhancement of signal quality for iterative search in perfect CSI which was better than linear algorithm and has a larger space with no need for strictly align interference in limited feedback CSI which reduces the influence of quantization error more.The effective bit distribution and bit utilization are improved by bit allocation,resulting in improved performance in limited feedback.

Key words: interference alignment, limited feedback, bit allocation, quantization error, bit utilization

中图分类号:

TN929.53

谢显中,李丹,雷维嘉,张森林. 基于优化比特分配的有限反馈干扰对齐方案[J]. 通信学报, 2017, 38(11): 1-12.

Xian-zhong XIE,Dan LI,Wei-jia LEI,Sen-lin ZHANG. Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks[J]. Journal on Communications, 2017, 38(11): 1-12.

图/表 11

图1

表1

有限反馈各量关系"

预置反馈比特数	最佳码字索引	有效反馈比特数	量化弦距离
$b_{preset}^{1}$	$i n d e x_{1}$	$b_{effective}^{1}$	$I_{chordal}^{1}$
$b_{preset}^{2}$	$i n d e x_{2}$	$b_{effective}^{2}$	$I_{chordal}^{2}$
…	…	…	…
$b_{preset}^{n}$	$i n d e x_{n}$	$b_{effective}^{n}$	$I_{chordal}^{n}$
…	…	…	…

表1

图2

图3

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图5

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图9

图10

参考文献 21

[1]	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.
[2]	JAFAR S A . Interference alignment-a new look at signal dimensions in a communication network[J]. Foundations and Trends in Communications and Information Theory, 2011,7(1): 1-136.
[3]	KIM J S , MOON S H , LEE S R ,et al. A new quantization strategy for MIMO interference alignment with limited feedback[J]. IEEE Transactions on Wireless Communications, 2012,11(1): 358-366.
[4]	AYACH O E , HEAIH R W . Grassmannian differential limited feedback for interference alignment[J]. IEEE Transactions on Signal Processing, 2012,60(12): 6481-6494.
[5]	JATIN T , HELMUT B . Interference alignment with limited feedback[C]// IEEE International Symposium on Information Theory(ISIT), 2009: 1759-1763.
[6]	REZAEE M , GUILLAUD M . Limited feedback for interference alignment in the K-user MIMO interference channel[C]// 2012 IEEE Information Theory Workshop (ITA). 2012: 667-671.
[7]	KIM J S , MOON S H , LEE S R ,et al. A new channel quantization strategy for MIMO interference alignment with limited feedback[J], IEEE Transactions on Wireless Communications, 2012,11(1): 358-366.
[8]	ZHANG Y X , CHENG R S . On the design of interference alignment scheme for multi-user MIMO with limited feedback[C]// IEEE International Conference on Communications(ICC), 2013: 5646-5651
[9]	SARA T , AD?O S , RUI D ,et al. Robust iterative interference alignment with limited feedback[C]// IEEE Global Telecommunications Conference (GLOBECOM). 2015: 1-6.
[10]	JAN S , GERHARD W , PETER J . Robust iterative interference alignment for cellular networks with limited feedback[J]. IEEE Transactions on Wireless Communications, 2015,14(2): 882-894.
[11]	MOHSEN R , MAXIME G . Interference alignment with quantized grassmannian feedback in the k-user constant MIMO interference channel[J]. IEEE Transactions on Wireless Communications, 2016,15(2): 1456-1468.
[12]	WANG H , SDNG R I , LEUNG S H . Throughput analysis of interference alignment for a general centralized limited feedback model[J]. IEEE Transactions on Vehicular Technology, 2016,65(10): 8775-8781.
[13]	LEE N,S , SDIN W HEATH R W . Interference alignment with limited feedback for two-cell interfering MIMO-MAC[C]// 2012 International Symposium on Wireless Communication Systems (WCS). 2012: 566-570.
[14]	ZHOU R X , LYU T J , GAO H ,et al. A new limited feedback scheme for interference alignment in two-cell interfering MIMO-MAC[C]// 2012 IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications(PIMRC). 2012: 1633-1638.
[15]	ZHOU R X , LYU T J , LONG W ,et al. Limited feedback schemes based on inter-cell interference alignment in two-cell interfering MIMO-MAC[C]// 2013 IEEE International Conference on Communications(ICC). 2013: 5214-5218.
[16]	KTM M J , LEE H H , KO Y C . Limited feedback design for interference alignment on two-cell interfering MIMO-MAC[J]. IEEE Transactions on Vehicular Technology, 2015,64(9): 4019-4030.
[17]	CHO S Y , HUANG K B , KIM D K ,et al. Interference alignment for uplink cellular systems with limited feedback[J]. IEEE Communications Letters, 2012,16(7): 960-963.
[18]	GAO H , LYG T J , FANG D ,et al. Limited feedback-based interference alignment for interfering multi-access channels[J]. IEEE Communications Letters, 2014,18(4): 540-543.
[19]	KRISHNAMACHARI R T , VARANASI M K . Interference alignment under limited feedback for MIMO interference channels[J]. IEEE Transactions on Singal Processing, 2013,61(15): 3908-3917.
[20]	CHEN X M , YUEN C . Performance analysis and optimization for interference alignment over MIMO interference channels with limited feedback[J]. IEEE Transactions on Singal Processing, 2014,62(7): 1785-1795.
[21]	DAI W , LIU Y J , RIDER B . Quantization bounds on grassmann manifolds and applications to MIMO communications[J]. IEEE Transactions on Information Theory, 2008,54(3): 1108-1123.

基于优化比特分配的有限反馈干扰对齐方案

Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks

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