NDLI: Approximate iteration detection with iterative refinement in massive MIMO systems

Content Provider	IET Digital Library
Author	Tang, Chuan Liu, Cang Yuan, Luechao Xing, Zuocheng
Abstract	To improve energy efficiency and spectral efficiency, massive multiple-input–multiple-output (MIMO) is proposed and becomes a promising technology in the next generation mobile communication. However, massive MIMO systems equip with scores of or hundreds of antennas which induce large-scale matrix computations with tremendous complexity, especially for matrix inversion in data detection. Thus, many detection methods have been proposed using approximate matrix inversion algorithms, which satisfy the demand of precision with low complexity. In this study, the authors focus on the approximate detection method based on Newton iteration (NI), and propose upgraded methods named NI method with iterative refinement (NIIR) and diagonal band NIIR (DBNIIR) which combine NI method and DBNI method with iterative refinement (IR). The results show that their proposals provide about 2 dB improvement on bit error rate (BER) for 16-quadrature amplitude modulation (QAM), and could even break the error floor existing in NI and DBNI methods for 64-QAM modulation. Furthermore, the BER of their proposals could provide almost the same performance as the exact method. Moreover, in contrast with NI and DBNI methods, NIIR and DBNIIR methods require quite few extra complexity cost and no extra hardware resource which is quite suitable for data detection in massive MIMO.
Starting Page	1152
Ending Page	1157
Page Count	6
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 7, May (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0826
Journal	IET Communications
Publisher Date	2017-02-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	16-quadrature Amplitude Modulation 64-QAM Modulation Approximate Iteration Detection Approximate Matrix Inversion Algorithm Approximation Theory BER Bit Error Rate DBNIIR Method Diagonal Band NIIR Energy Conservation Energy Efficiency Error Statistics Interpolation And Function Approximation Iterative Refinement Large-scale Matrix Computation Linear Algebra Massive MIMO System Massive Multiple-input–multiple-output Matrix Inversion MIMO Communication Modulation And Coding Method Newton Iteration Newton Method NI Method with Iterative Refinement Numerical Analysis Quadrature Amplitude Modulation Radio Link And Equipment Spectral Efficiency Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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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
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