NDLI: A covariance shaping framework for linear multiuser detection

Content Provider	IEEE Xplore Digital Library
Author	Eldar, Y.C. Shamai, S.
Copyright Year	1963
Abstract	A new class of linear multiuser receivers, referred to as the covariance shaping multiuser (CSMU) receiver, is proposed, for suppression of interference in multiuser wireless communication systems. This class of receivers is based on the recently proposed covariance shaping least-squares estimator, and is designed to minimize the total variance of the weighted error between the receiver output and the observed signal, subject to the constraint that the covariance of the noise component in the receiver output is proportional to a given covariance matrix, so that we control the dynamic range and spectral shape of the output noise. Some of the well-known linear multiuser receivers are shown to be special cases of the CSMU receiver. This allows us to interpret these receivers as the receivers that minimize the total error variance in the observations, among all linear receivers with the same output noise covariance, and to analyze their performance in a unified way. We derive exact and approximate expressions for the probability of bit error, as well as the asymptotic signal-to-interference+noise ratio in the large system limit. We also characterize the spectral efficiency versus energy-per-information bit of the CSMU receiver in the wideband regime. Finally, we consider a special case of the CSMU receiver, equivalent to a mismatched minimum mean-squared error (MMSE) receiver, in which the channel signal-to-noise ratio (SNR) is not known precisely. Using our general performance analysis results, we characterize the performance of the mismatched MMSE receiver. We then treat the case in which the SNR is known to lie in a given uncertainty range, and develop a robust mismatched MMSE receiver whose performance is very close to that of the MMSE receiver over the entire uncertainty range.
Sponsorship	IEEE Information Theory Society
Starting Page	2426
Ending Page	2446
Page Count	21
File Size	727832
File Format	PDF
ISSN	00189448
Volume Number	51
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiuser detection Multi-stage noise shaping Performance analysis Uncertainty Interference suppression Wireless communication Signal design Error correction Interference constraints Covariance matrix robust MMSE Code-division multiple access (CDMA) covariance shaping mismatched minimum mean-squared error (MMSE) multiuser detection noise shaping
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems 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

Blind Minimum Mean Squared Error (MMSE) Multiuser Detection with Reliable Subspace Estimation (RSE)

Regularized adaptive detectors for code-division multiple-access signals

Differential mmse: a framework for robust adaptive interference suppression for direct sequence cdma over fading channels,” submitted for publication.

Linear MMSE Interference Suppression in Asynchronous Random-CDMA (2000)

Differential MMSE: a framework for robust adaptive interference suppression for DS-CDMA over fading channels

Linear versus non-linear interference cancellation

Minimum mean-squared error multiuser decision-feedback detectors for DSCDMA (2002)

Regularized mmse multiuser detection using covariance matrix tapering.

Multiuser detection in CDMA â€” A comparison of minimum mean square error and simulating annealing heuristic algorithm

A covariance shaping framework for linear multiuser detection

Similar Documents

Blind Minimum Mean Squared Error (MMSE) Multiuser Detection with Reliable Subspace Estimation (RSE)

Regularized adaptive detectors for code-division multiple-access signals

Differential mmse: a framework for robust adaptive interference suppression for direct sequence cdma over fading channels,” submitted for publication.

Linear MMSE Interference Suppression in Asynchronous Random-CDMA (2000)

Differential MMSE: a framework for robust adaptive interference suppression for DS-CDMA over fading channels

Linear versus non-linear interference cancellation

Minimum mean-squared error multiuser decision-feedback detectors for DSCDMA (2002)

Regularized mmse multiuser detection using covariance matrix tapering.

Multiuser detection in CDMA â€” A comparison of minimum mean square error and simulating annealing heuristic algorithm

A covariance shaping framework for linear multiuser detection