Sum Rate Maximization using Linear Precoding and Decoding in the Multiuser MIMO Downlink

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dc.creatorTenenbaum, Adam J.
dc.creatorAdve, Raviraj S.
dc.date2008-01-02
dc.date.accessioned2026-07-07T08:52:07Z
dc.date.available2026-07-07T08:52:07Z
dc.descriptionWe propose an algorithm to maximize the instantaneous sum data rate transmitted by a base station in the downlink of a multiuser multiple-input, multiple-output system. The transmitter and the receivers may each be equipped with multiple antennas and each user may receive more than one data stream. We show that maximizing the sum rate is closely linked to minimizing the product of mean squared errors (PMSE). The algorithm employs an uplink/downlink duality to iteratively design transmit-receive linear precoders, decoders, and power allocations that minimize the PMSE for all data streams under a sum power constraint. Numerical simulations illustrate the effectiveness of the algorithm and support the use of the PMSE criterion in maximizing the overall instantaneous data rate.
dc.description6 pages, 4 figures, uses ieeetran.cls
dc.identifierhttps://arxiv.org/abs/0801.0340
dc.identifierhttp://arxiv.org/abs/0801.0340
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/145170
dc.subjectInformation Theory
dc.titleSum Rate Maximization using Linear Precoding and Decoding in the Multiuser MIMO Downlink
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