Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference Alignment

Blind interference alignment (BIA) can greatly improve the degree of freedom with the infinite signal-to-noise ratio (SNR) assumption. Under the finite SNR condition, noise accumulation can have a significantly negative impact on SNR, inducing severe performance deterioration. In particular, in mult...

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Main Authors: Qing Yang, Ting Jiang, Chunxiao Jiang, Zhu Han, Zheng Zhou
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7565591/
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spelling doaj-b7af912970d040de827fa43eea98cedb2021-03-29T19:44:38ZengIEEEIEEE Access2169-35362016-01-0144974498810.1109/ACCESS.2016.26089237565591Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference AlignmentQing Yang0Ting Jiang1Chunxiao Jiang2https://orcid.org/0000-0002-3703-121XZhu Han3Zheng Zhou4Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaKey Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaTsinghua Space Center, Tsinghua University, Beijing, ChinaElectrical and Computer Engineering Department, University of Houston, Houston, TX, USAKey Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaBlind interference alignment (BIA) can greatly improve the degree of freedom with the infinite signal-to-noise ratio (SNR) assumption. Under the finite SNR condition, noise accumulation can have a significantly negative impact on SNR, inducing severe performance deterioration. In particular, in multi-cell networks, the transmitter to which a user connects can further affect its received SNR and the BIA design. To address such problem, we present a user grouping scheme for reducing noise accumulation in a single cell and analyze the impact of transmitter connections on the user grouping scheme. SNR BIA in a multi-cell network is further proposed, which jointly optimizes the transmitter connection and the user grouping scheme. Extensive simulations demonstrate that the achievable sum rate of SNR BIA is 1.36 times, 1.66 times, and 2.68 times that of data shared BIA, standard BIA, and extended BIA reported in the literature, respectively, and SNR BIA is more robust to user mobility.https://ieeexplore.ieee.org/document/7565591/Blind interference alignmenteffective degree of freedomSNR reduced factortransmitter connection
collection DOAJ
language English
format Article
sources DOAJ
author Qing Yang
Ting Jiang
Chunxiao Jiang
Zhu Han
Zheng Zhou
spellingShingle Qing Yang
Ting Jiang
Chunxiao Jiang
Zhu Han
Zheng Zhou
Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference Alignment
IEEE Access
Blind interference alignment
effective degree of freedom
SNR reduced factor
transmitter connection
author_facet Qing Yang
Ting Jiang
Chunxiao Jiang
Zhu Han
Zheng Zhou
author_sort Qing Yang
title Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference Alignment
title_short Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference Alignment
title_full Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference Alignment
title_fullStr Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference Alignment
title_full_unstemmed Joint Optimization of User Grouping and Transmitter Connection on Multi-Cell SNR Blind Interference Alignment
title_sort joint optimization of user grouping and transmitter connection on multi-cell snr blind interference alignment
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2016-01-01
description Blind interference alignment (BIA) can greatly improve the degree of freedom with the infinite signal-to-noise ratio (SNR) assumption. Under the finite SNR condition, noise accumulation can have a significantly negative impact on SNR, inducing severe performance deterioration. In particular, in multi-cell networks, the transmitter to which a user connects can further affect its received SNR and the BIA design. To address such problem, we present a user grouping scheme for reducing noise accumulation in a single cell and analyze the impact of transmitter connections on the user grouping scheme. SNR BIA in a multi-cell network is further proposed, which jointly optimizes the transmitter connection and the user grouping scheme. Extensive simulations demonstrate that the achievable sum rate of SNR BIA is 1.36 times, 1.66 times, and 2.68 times that of data shared BIA, standard BIA, and extended BIA reported in the literature, respectively, and SNR BIA is more robust to user mobility.
topic Blind interference alignment
effective degree of freedom
SNR reduced factor
transmitter connection
url https://ieeexplore.ieee.org/document/7565591/
work_keys_str_mv AT qingyang jointoptimizationofusergroupingandtransmitterconnectiononmulticellsnrblindinterferencealignment
AT tingjiang jointoptimizationofusergroupingandtransmitterconnectiononmulticellsnrblindinterferencealignment
AT chunxiaojiang jointoptimizationofusergroupingandtransmitterconnectiononmulticellsnrblindinterferencealignment
AT zhuhan jointoptimizationofusergroupingandtransmitterconnectiononmulticellsnrblindinterferencealignment
AT zhengzhou jointoptimizationofusergroupingandtransmitterconnectiononmulticellsnrblindinterferencealignment
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