Minimum mean squared error interference alignment

David A. Schmidt, Changxin Shi, Randall A. Berry, Michael L. Honig, Wolfgang Utschick

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

189 Zitate (Scopus)

Abstract

To achieve the full multiplexing gain of MIMO interference networks at high SNRs, the interference from different transmitters must be aligned in lower-dimensional subspaces at the receivers. Recently a distributed "max-SINR" algorithm for precoder optimization has been proposed that achieves interference alignment for sufficiently high SNRs. We show that this algorithm can be interpreted as a variation of an algorithm that minimizes the sum Mean Squared Error (MSE). To maximize sum utility, where the utility depends on rate or SINR, a weighted sum MSE objective is used to compute the beams, where the weights are updated according to the sum utility objective. We specify a class of utility functions for which convergence of the sum utility to a local optimum is guaranteed with asynchronous updates of beams, receiver filters, and utility weights. Numerical results are presented, which show that this method achieves interference alignment at high SNRs, and can achieve different points on the boundary of the achievable rate region by adjusting the MSE weights.

OriginalspracheEnglisch
TitelConference Record - 43rd Asilomar Conference on Signals, Systems and Computers
Seiten1106-1110
Seitenumfang5
DOIs
PublikationsstatusVeröffentlicht - 2009
Veranstaltung43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, USA/Vereinigte Staaten
Dauer: 1 Nov. 20094 Nov. 2009

Publikationsreihe

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Konferenz

Konferenz43rd Asilomar Conference on Signals, Systems and Computers
Land/GebietUSA/Vereinigte Staaten
OrtPacific Grove, CA
Zeitraum1/11/094/11/09

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