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2652 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO. 5, MAY 2009 Linear Processing and Sum Throughput in the
 

Summary: 2652 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO. 5, MAY 2009
Linear Processing and Sum Throughput in the
Multiuser MIMO Downlink
Adam J. Tenenbaum, Student Member, IEEE, and Raviraj S. Adve, Senior Member, IEEE
Abstract--We consider linear precoding and decoding in the
downlink of a multiuser multiple-input, multiple-output (MIMO)
system, wherein each user may receive more than one data
stream. We propose several mean squared error (MSE) based
criteria for joint transmit-receive optimization and establish a
series of relationships linking these criteria to the signal-to-
interference-plus-noise ratios of individual data streams and the
information theoretic channel capacity under linear minimum
MSE decoding. In particular, we show that achieving the max-
imum sum throughput is equivalent to minimizing the product
of MSE matrix determinants (PDetMSE). Since the PDetMSE
minimization problem does not admit a computationally efficient
solution, a simplified scalar version of the problem is considered
that minimizes the product of mean squared errors (PMSE).
An iterative algorithm is proposed to solve the PMSE problem,
and is shown to provide near-optimal performance with greatly

  

Source: Adve, Raviraj - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Engineering