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

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 throu...

Full description

Saved in:
Bibliographic Details
Main Authors: Xian-zhong XIE, Dan LI, Wei-jia LEI, Sen-lin ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017215/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539475233046528
author Xian-zhong XIE
Dan LI
Wei-jia LEI
Sen-lin ZHANG
author_facet Xian-zhong XIE
Dan LI
Wei-jia LEI
Sen-lin ZHANG
author_sort Xian-zhong XIE
collection DOAJ
description 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.
format Article
id doaj-art-0ae948c88f264df5b22d1192ad5899cb
institution Kabale University
issn 1000-436X
language zho
publishDate 2017-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-0ae948c88f264df5b22d1192ad5899cb2025-01-14T07:13:17ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-11-013811259713158Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networksXian-zhong XIEDan LIWei-jia LEISen-lin ZHANGA 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017215/interference alignmentlimited feedbackbit allocationquantization errorbit utilization
spellingShingle 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
Tongxin xuebao
interference alignment
limited feedback
bit allocation
quantization error
bit utilization
title Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks
title_full Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks
title_fullStr Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks
title_full_unstemmed Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks
title_short Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks
title_sort interference alignment based on optimizing bit allocation with limited feedback in interfering mimo mac networks
topic interference alignment
limited feedback
bit allocation
quantization error
bit utilization
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017215/
work_keys_str_mv AT xianzhongxie interferencealignmentbasedonoptimizingbitallocationwithlimitedfeedbackininterferingmimomacnetworks
AT danli interferencealignmentbasedonoptimizingbitallocationwithlimitedfeedbackininterferingmimomacnetworks
AT weijialei interferencealignmentbasedonoptimizingbitallocationwithlimitedfeedbackininterferingmimomacnetworks
AT senlinzhang interferencealignmentbasedonoptimizingbitallocationwithlimitedfeedbackininterferingmimomacnetworks