NDLI: MMSE-based iterative processing with imperfect channel and parity check in MIMO systems

Content Provider	IET Digital Library
Author	Jiang, Fan Li, Cheng Gong, Zijun Zhang, Yan Liu, Shudong Hao, Kun
Abstract	It is known that the acquisition of the complete channel state information at receivers is difficult in multiple-input multiple-output (MIMO) systems. Channel estimation error is unavoidable in practical applications. Under imperfect channel conditions, the channel estimate is directly applied to the equalisation process in the conventional minimum mean-square error (MMSE)-based turbo equalisation scheme. A few studies treat the channel estimation error as an independent component from the channel estimate and slightly enhanced performance is achieved. Unlike the existing work, the authors derive the MMSE-based iterative processing conditioned on channel estimate. Moreover, they note that in low-density parity check coded systems, the parity-check procedure is also involved. The pass in parity check indicates that the message bitstream is successfully recovered. This information can be utilised to reduce the overall computational complexity by degrading the MIMO size since the unknown parameters are reduced. By extending the analysis in a small-scale MIMO system to a large-scale one, they propose to utilise the normalised transmission power in the development. Numerical results show the proposed schemes outperform the existing schemes in terms of system bit error rate and computational complexity performance.
Starting Page	2660
Ending Page	2667
Page Count	8
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 17, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.6023
Journal	IET Communications
Publisher Date	2019-06-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel Estimation Channel Estimation Error Code Communication Channel Equalisation And Identification Complete Channel State Information Computational Complexity Equalisation Process Equaliser Error Statistics Imperfect Channel Condition Interpolation And Function Approximation Iterative Method Least Mean Squares Method Low-density Parity Check MIMO Communication Minimum Mean-square Error-based Turbo Equalisation Scheme MMSE-based Iterative Processing Multiple-input Multiple-output System Numerical Analysis Parity Check Code Parity-check Procedure Radio Link And Equipment Small-scale MIMO System Statistics System Bit Error Rate Turbo Code Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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

Low-complexity channel estimation and turbo equalisation for high frequency channels

New robust iterative minimum mean squared error-based interference alignment algorithm

Pilot-assisted linear turbo equaliser over doubly selective channels

Low-complexity MMSE-based integrated equalisation for MIMO systems with HARQ

Efficient soft bit estimation for joint iterative multiple-input multiple-output detection

Improved iterative FD-CE and turbo equalisation for doubly-selective high-frequency channel

MMSE-based secure precoding in two-way relaying systems

Optimal pilot design in massive MIMO systems based on channel estimation

Joint low-complexity equalisation and CFO compensation for DCT–OFDM communication systems based on SIC

MMSE-based iterative processing with imperfect channel and parity check in MIMO systems

Similar Documents

Low-complexity channel estimation and turbo equalisation for high frequency channels

New robust iterative minimum mean squared error-based interference alignment algorithm

Pilot-assisted linear turbo equaliser over doubly selective channels

Low-complexity MMSE-based integrated equalisation for MIMO systems with HARQ

Efficient soft bit estimation for joint iterative multiple-input multiple-output detection

Improved iterative FD-CE and turbo equalisation for doubly-selective high-frequency channel

MMSE-based secure precoding in two-way relaying systems

Optimal pilot design in massive MIMO systems based on channel estimation

Joint low-complexity equalisation and CFO compensation for DCT–OFDM communication systems based on SIC

MMSE-based iterative processing with imperfect channel and parity check in MIMO systems