NDLI: Multi-stream iterative SVD for massive MIMO communication systems under time varying channels

Content Provider	IEEE Xplore Digital Library
Author	Junting Chen Lau, V.K.N.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China (Junting Chen; Lau, V.K.N.)
Abstract	Singular value decomposition (SVD) plays an important role in signal processing for multi-input multi-output (MIMO) communication systems. Under massive MIMO scenarios, as the channel matrix is very large, implementing SVD at every frame is highly inefficient. Existing literature on iterative SVD algorithms are mostly heuristic based, and the associated tracking performance under time-varying channels is not clear. The difficulties of deriving and analyzing SVD algorithms are due to the non-convexity of the associated optimization problem and the time-varying nature of the MIMO channel. In this paper, we formulate the problem on Grassmann manifolds and derive a multi-stream iterative SVD algorithm using optimization techniques. To enhance the tracking performance under time-varying channels, we propose a compensation algorithm to offset the motion of the time-varying target eigenspace. We analyze the convergence behavior of the proposed algorithm, where we show that under some mild conditions, the proposed iterative SVD algorithm with compensations has zero tracking error, despite the underlying problem being non-convex and the channel being time-varying. The complexity of the algorithm is only $O(n^{2}p)$ for estimating p singular vectors, compared with $O(n^{3})$ for the SVD of a n × n channel matrix.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	3152
Ending Page	3156
File Size	141895
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6854181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization SVD Iterative algorithm Convergence analysis Grassmann manifold
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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