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Linear Processing for the Downlink in Multiuser MIMO Systems with Multiple Data Streams
 

Summary: Linear Processing for the Downlink in Multiuser
MIMO Systems with Multiple Data Streams
Ali M. Khachan, Adam J. Tenenbaum and Raviraj S. Adve
Dept. of Electrical and Computer Engineering, University of Toronto
10 King's College Road, Toronto, Ontario, M5S 3G4, Canada
Email: {khachana,adam,rsadve}@comm.utoronto.ca
Abstract-- In this paper we solve the problem of linear pre-
coding for the downlink in multiuser multiple-input multiple-
output (MIMO) systems. The transmitter and the receivers may
be equipped with multiple antennas and each user may receive
multiple data streams. Our objective is to jointly optimize the
power allocation and transmit-receive filters for all users. We
develop the optimization for two different criteria; (1) minimizing
the total transmitted power while satisfying SINR constraints and
(2) minimizing the sum mean squared error given a total power
budget. We take advantage of the duality between the uplink and
downlink to derive the solution.
I. INTRODUCTION
It is now well accepted that in wireless communications,
exploiting the spatial dimension using antenna arrays at the

  

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

 

Collections: Engineering