Iterative waterfilling for weighted rate sum maximization in MIMO-MAC

Mari Kobayashi, Giuseppe Caire

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

16 Zitate (Scopus)

Abstract

We consider the weighted sum rate maximization in Gaussian MIMO multiple access channel (MAC) under individual power constraints. This problem arises in the stability-wise optimal scheduling policy that allocates the resource as a function of the buffer queue states and the channel matrices in each time slot. The straightforward generalization of Yu et al.'s well-known iterative waterfilling algorithm for the sum rate maximization is non-trivial because the problem cannot reduce to decoupled single-user waterfilling-type solutions with arbitrary weights. Therefore, we propose a simple alternative treating multiple antennas at each transmitter as virtual single-antenna transmitters, which enables a iterative waterfilling-type algorithm. For a special case such as a OFDM-MAC, the proposed algorithm converges to the optimal solution faster than a steepest ascent algorithm and makes the convergence speed independent of the number of subcarriers.

OriginalspracheEnglisch
Titel2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC
DOIs
PublikationsstatusVeröffentlicht - 2006
Extern publiziertJa
Veranstaltung2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC - Cannes, Frankreich
Dauer: 2 Juli 20065 Juli 2006

Publikationsreihe

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Konferenz

Konferenz2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Land/GebietFrankreich
OrtCannes
Zeitraum2/07/065/07/06

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