Analytical framework for multiuser uplink MIMO space-time scheduling design with convex utility functions.

Analytical framework for multiuser uplink MIMO space-time scheduling design with convex utility functions.

In this paper, we derive a novel analytical framework for designing optimal multiple-input multiple-output (MIMO) uplink space-time scheduling algorithms with respect to general convex utility functions. The novel approach we take is to discretize the search space and apply integer-programming techn...

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Détails bibliographiques
Publié dans:IEEE Transactions on wireless communications 3, 5 (2004).
Auteur principal: Kin-Nang Lau
Format: Article
Langue:English
Sujets:
UMTS.
Universal Mobile Terrestrial Service.
Base station.
Convex utility functions.
Genetic algorithm.
Greedy algorithm.
Integer-programming technique.
Joint beam-forming.
Linear spatial processing constraint.
Maximal throughput.
Mobile terminal.
Mobile user.
Multiple antennas.
Multiple input multiple output algorithm.
Multiuser uplink MIMO space-time scheduling.
Optimal scheduling algorithm.
Proportional fair.
Receive antennas.
Receiver.
Transmit antennas.
Transmitter.