DocumentCode
22721
Title
Blind interference alignment tracking for two-way interference channel
Author
Shuai Ma ; Dechun Sun ; Yuping Su
Author_Institution
State Key Lab. of Integrated Services Networks (ISN Lab.), Xidian Univ., Xi´an, China
Volume
8
Issue
4
fYear
2014
fDate
March 6 2014
Firstpage
455
Lastpage
461
Abstract
In this study, the authors propose a novel blind adaptive minor subspace tracking interference alignment (BAMST-IA) scheme for slowly fading two-way interference channel. In this scheme, a new frame structure is designed to exploit the dependency of the channels between consecutive fading blocks. Then, the IA problem is reformulated as a minor subspace tracking problem, and the low computational complexity fast data projection method algorithm is integrated with the BAMST-IA scheme to update the IA solutions. Moreover, the update uses only observed data without any channel state information, thus requires lower signalling overhead. Simulation results are presented to show that the proposed BAMST-IA scheme is fit for slowly fading channels.
Keywords
computational complexity; fading channels; radiofrequency interference; BAMST-IA scheme; IA problem; blind adaptive minor subspace tracking interference alignment scheme; blind interference alignment tracking; fading blocks; low-computational complexity fast data projection method algorithm; signalling overhead; slowly-fading two-way interference channel;
fLanguage
English
Journal_Title
Communications, IET
Publisher
iet
ISSN
1751-8628
Type
jour
DOI
10.1049/iet-com.2013.0339
Filename
6758414
Link To Document