NDLI: Spatially correlated channel estimation based on block iterative support detection for massive MIMO systems

Content Provider	IET Digital Library
Author	Shen, Wenqian Dai, Linglong Gao, Zhen Wang, Zhaocheng
Abstract	Downlink channel estimation with low pilot overhead is an important and challenging problem in massive multiple-input–multiple-output (MIMO) systems due to the substantially increased MIMO channel dimension. A block iterative support detection (block-ISD)-based algorithm for downlink channel estimation to reduce the pilot overhead is proposed, which is achieved by fully exploiting the block sparsity inherent in the block-sparse equivalent channel derived from the spatial correlations of MIMO channels. Furthermore, unlike conventional compressive sensing (CS) algorithms that rely on prior knowledge of the sparsity level, block-ISD relaxes this demanding requirement and is thus more practically appealing. Simulation results demonstrate that block-ISD yields better normalised mean square error (NMSE) performance than classical CS algorithms, and achieve a reduction of 84% pilot overhead compared with conventional channel estimation techniques.
Starting Page	587
Ending Page	588
Page Count	2
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 7, Apr (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.3576
Journal	Electronics Letters
Publisher Date	2015-03-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Better Normalised Mean Square Error Performance Block Iterative Support Detection Block Sparsity Block-ISD-based Algorithm Block-sparse Equivalent Channel Channel Estimation Communication Channel Equalisation And Identification CS Algorithm Downlink Channel Estimation Interpolation And Function Approximation Iterative Method Large-scale MIMO System Low Pilot Overhead Mean Square Error Method MIMO Communication Multiple-input–multiple-output Systems NMSE Performance Numerical Analysis Radio Link And Equipment Spatially Correlated Channel Estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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