Maximizing sum rate and minimizing MSE on multiuser Downlink: Optimality, fast algorithms and equivalence via max-min SIR

Chee Wei Tan, Mung Chiang, R. Srikanr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

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 beam formers in the max-m in 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.

Original languageEnglish (US)
Title of host publication2009 IEEE International Symposium on Information Theory, ISIT 2009
Pages2669-2673
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE International Symposium on Information Theory, ISIT 2009 - Seoul, Korea, Republic of
Duration: Jun 28 2009Jul 3 2009

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8102

Other

Other2009 IEEE International Symposium on Information Theory, ISIT 2009
CountryKorea, Republic of
CitySeoul
Period6/28/097/3/09

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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    Tan, C. W., Chiang, M., & Srikanr, R. (2009). Maximizing sum rate and minimizing MSE on multiuser Downlink: Optimality, fast algorithms and equivalence via max-min SIR. In 2009 IEEE International Symposium on Information Theory, ISIT 2009 (pp. 2669-2673). [5205907] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2009.5205907