A practical approach for weighted rate sum maximization in MIMO-OFDM broadcast channels

Mari Kobayashi, Giuseppe Caire

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

We study the maximization of weighted sum rate in multi-input multi-output OFDM broadcast channels based on MMSE linear beamforming. The problem at hand is a wellknown non-convex problem. Nevertheless, motivated by Yu's "zero duality gap" result in a multicarrier system, we apply dual decomposition to reduce the original problem to N independent subproblems where N denotes the number of subcarriers. For each subproblem, we propose a simple waterfilling approach that aims at iteratively solving the KKT condition. Numerical examples show that the proposed algorithm achieves near-optimal performance under a typical downlink scenario.

Original languageEnglish
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages1591-1595
Number of pages5
DOIs
StatePublished - 2007
Externally publishedYes
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: 4 Nov 20077 Nov 2007

Publication series

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

Conference

Conference41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Country/TerritoryUnited States
CityPacific Grove, CA
Period4/11/077/11/07

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