NDLI: A general framework for MIMO transceiver design with imperfect CSI and transmit correlation

Content Provider	IEEE Xplore Digital Library
Author	Minhua Ding Blostein, S.D. Wai Ho Mow Siriteanu, C.
Copyright Year	2009
Description	Author affiliation: Queen's University, Kingston, Ontario, Canada (Blostein, S.D.) \|\| Seoul National University, Seoul, Korea (Siriteanu, C.) \|\| Hong Kong University of Science and Technology, Hong Kong, P. R. China (Minhua Ding; Wai Ho Mow)
Abstract	Assuming perfect channel state information (CSI), linear precoding/decoding for multiple-input multiple-output (MIMO) systems has been considered in the literature under various performance criteria, such as minimum total mean-square error (MSE), maximum mutual information, and minimum average bit error rate (BER). It has been shown that these criteria belong to a set of reasonable Schur-concave or Schur-convex objective functions of the diagonal entries of the system mean-square error (MSE) matrix. In this paper, assuming only the knowledge of channel mean and transmit correlation at both ends, a general theoretical framework is presented to derive the optimum precoder and decoder for MIMO systems using these objective functions. It is shown that for all these objective functions the optimum transceivers share a similar structure. Compared to the case with perfect CSI, a linear filter is added to both ends to balance the suppression of channel noise and the additional noise induced from channel estimation error. Simulation results are $provided.^{1}$
Starting Page	182
Ending Page	186
File Size	290156
Page Count	5
File Format	PDF
ISBN	9781424451227
e-ISBN	9781424451234
DOI	10.1109/PIMRC.2009.5450374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Transceivers Covariance matrix Decoding Bit error rate Channel state information Signal design Downlink Base stations Transmitting antennas
Content Type	Text
Resource Type	Article

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