NDLI: SNR aware SBIA in multiple-input–single-output broadcast channel

Content Provider	IET Digital Library
Author	Yang, Qing Jiang, Ting Zhou, Zheng
Abstract	Blind interference alignment (BIA) can eliminate users’ interference without channel state information and greatly improve the channel capacity, which has been regarded as a promising technique in next generation wireless systems. However, current BIA mechanisms neglect noise accumulations, resulting in final signal-to-noise ratio (fSNR) deterioration and reduced transmission rates. Motivated by ameliorating such negative impact induced by noise accumulations, this study establishes an SNR aware semi-BIA (SNR SBIA) framework in the multi-input–single-output broadcast channel, where the users form different groups performing BIA for different SNR reductions. An SNR SBIA algorithm is further proposed based on tabu search for maximising the overall performance ensuring all users’ fSNRs higher than an SNR threshold. Extensive evaluations demonstrate that SNR SBIA can adapt to the users’ diverse received SNRs and the corresponding achievable sum rate is about 1.38 times and 1.92 times that in standard BIA and grouped hierarchical BIA, respectively.
Starting Page	2461
Ending Page	2472
Page Count	12
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 17, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.1148
Journal	IET Communications
Publisher Date	2016-11-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	BIA Blind Interference Alignment Broadcast Channel Channel Capacity Channel Capacity Improvement Combinatorial Mathematics Communication System Theory Electromagnetic Compatibility Final Signal-to-noise Ratio Deterioration FSNR Interference Interference Suppression Mobile Radio System Multiple-input-single-output Broadcast Channel Next Generation Network Next Generation Wireless System Noise Accumulations Optimisation Technique Radio Frequency Interference Radio Network Search Problem SNR Aware Semi BIA Framework Tabu Search Transmission Rate Reduction User Interference Elimination
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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