Tan, Chee Wei and Chiang, Mung and Srikant, R. (2009) Maximizing sum rate and minimizing MSE on multiuser downlink: Optimality, fast algorithms and equivalence via max-min SIR. In: ISIT 2009. IEEE , Piscataway, NJ, pp. 2669-2673. ISBN 978-1-4244-4312-3 http://resolver.caltech.edu/CaltechAUTHORS:20100816-134603680
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Maximizing the minimum weighted SIR, minimizing the weighted sum MSE and maximizing the weighted sum rate in a multiuser downlink system are three important performance objectives in joint transceiver and power optimization, where all the users have a total power constraint. We show that, through connections with the nonlinear Perron-Frobenius theory, jointly optimizing power and beamformers in the max-min weighted SIR problem can be solved optimally in a distributed fashion. Then, connecting these three performance objectives through the arithmetic-geometric mean inequality and nonnegative matrix theory, we solve the weighted sum MSE minimization and weighted sum rate maximization in the low to moderate interference regimes using fast algorithms.
|Item Type:||Book Section|
|Additional Information:||© 2009 IEEE. We acknowledge helpful discussions with Steven Low at Caltech and Kevin Tang at Cornell. This research has been supported in part by ONR grant N00014-07-1-0864and NSF CNS 0720570.|
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|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||16 Aug 2010 21:31|
|Last Modified:||26 Dec 2012 12:19|
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