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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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 |
_version_ |
1724195761354178560 |