NDLI: Efficient design of optimal transmitter for MIMO systems using decision feedback receivers

Content Provider	IEEE Xplore Digital Library
Author	Tingting Liu Jian-Kang Zhang Kon Max Wong
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON (Tingting Liu; Jian-Kang Zhang; Kon Max Wong)
Abstract	The design of optimum transmission precoder for multi-input multi-output (MIMO) communication systems equipped with zero-forcing decision feedback (ZF-DF) receivers usually requires perfect knowledge of the channel state information (CSI) at both the transmitter and the receiver. In wireless communication systems, however, it is often difficult to provide sufficiently timely and accurate CSI feedback from the receiver to the transmitter for such designs to be practically viable. In this paper, we consider the transmission precoder design for a MIMO communication system having M transmitter antennas and N receiver antennas (M < N) in a wireless link in which the channels are assumed to be flat fading and possibly correlated. We assume that full CSI is known at the receiver, but only the first- and second-order statistics of the channels are available at the transmitter. The goal in this paper is to seek an efficient design of the optimal precoder for such a MIMO system by minimizing the total transmitting power of the ZF-DF receiver subject to a constraint on the average arithmetic mean square error (MSE). Utilizing majorization theory, we transform this non-convex optimization problem into a convex geometrical programming problem, which can then be efficiently solved using an interior point method. In the case of the MIMO random channel being uncorrelated, a closed-form solution to the optimization problem has also been obtained.
Starting Page	138
Ending Page	141
File Size	126892
Page Count	4
File Format	PDF
ISBN	9781424419456
DOI	10.1109/BSC.2008.4563223
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Fading State feedback Transmitters Communication systems Transmitting antennas Receiving antennas MIMO Statistics Channel state information
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

Optimal precoder design for correlated MIMO systems using decision feedback receivers

Optimal precoder design for mimo systems using decision feedback receivers

Optimal Precoder Design for Correlated MIMO Communication Systems Using Zero-Forcing Decision Feedback Equalization

Long-term adaptive precoding for decision feedback equalization

Hierarchical coding for a MIMO channel

Some asymptotic capacity results for MIMO wireless with and without channel knowledge at the transmitter

Ergodic capacity of frequency selective MIMO burst channels

Fading broadcast channels with state information at the receivers

Multiple-input multiple-output (MIMO) radio channel measurements

Efficient design of optimal transmitter for MIMO systems using decision feedback receivers

Similar Documents

Optimal precoder design for correlated MIMO systems using decision feedback receivers

Optimal precoder design for mimo systems using decision feedback receivers

Optimal Precoder Design for Correlated MIMO Communication Systems Using Zero-Forcing Decision Feedback Equalization

Long-term adaptive precoding for decision feedback equalization

Hierarchical coding for a MIMO channel

Some asymptotic capacity results for MIMO wireless with and without channel knowledge at the transmitter

Ergodic capacity of frequency selective MIMO burst channels

Fading broadcast channels with state information at the receivers

Multiple-input multiple-output (MIMO) radio channel measurements

Efficient design of optimal transmitter for MIMO systems using decision feedback receivers