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Joint Multiuser Transmit-Receive Optimization Using Linear Processing

Summary: Joint Multiuser Transmit-Receive Optimization
Using Linear Processing
Adam J. Tenenbaum and Raviraj S. Adve
Dept. of Elec. and Comp. Eng., University of Toronto
10 King's College Road, Toronto, Ontario, M5S 3G4, Canada
Email: {adam,rsadve}@comm.utoronto.ca
Abstract-- In this paper we propose a novel method for
joint transmit-receive linear optimization in the downlink of
a multiuser MIMO communication system. This new method
adapts existing joint linear optimization algorithms from the
single user domain for application to the multiuser domain. The
optimum transmit matrix is obtained using an iterative procedure
based on a minimum mean-squared error (MMSE) criterion and
a per-user power constraint; the optimum receive matrices for
each user are then derived under an MMSE constraint. The
proposed technique improves performance and increases data
throughput in multiuser scenarios.
The desire to introduce multimedia technologies into mobile
networks has motivated a great deal of research into increasing


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


Collections: Engineering