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Improved Sum-Rate Optimization in the Multiuser MIMO Downlink
 

Summary: Improved Sum-Rate Optimization in the Multiuser
MIMO Downlink
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: {adam,rsadve}@comm.utoronto.ca
Abstract--We consider linear precoding and decoding in the
downlink of a multiuser multiple-input, multiple-output (MIMO)
system. In this scenario, the transmitter and the receivers may
each be equipped with multiple antennas, and each user may
receive more than one data stream. We examine the relation-
ship between the sum capacity for the broadcast channel with
channel state information at the transmitter under a sum power
constraint and the achievable sum rates under linear precoding.
We show that achieving the optimum sum throughput under
linear precoding is equivalent to minimizing the product of mean
squared error (MSE) matrix determinants. The resulting non-
convex optimization problem is solved numerically, guaranteeing
local convergence only. The performance of this approach is
analyzed via comparison to the sum capacity and to existing

  

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

 

Collections: Engineering