Capacity balancing for multiuser mimo systems

Shuying Shi, Martin Schubert, Holger Boche

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

18 Scopus citations

Abstract

This paper investigates the problem of transceiver design with individual rate constraints for multiuser MIMO systems. We focus on linear processing with two design goals: one is to maximize the minimum rate per user under a total power constraint, and the other is to minimize the total transmit power while maintaining certain rate requirements. The optimization is carried out in an alternating manner in both virtual uplink and downlink channels. Each iteration contains the optimization of uplink power allocation, and uplink and downlink MMSE receive filters. The uplink power control to balance the rates or to achieve the rate requirements is taken by optimizing the product of MSEs, which can be formulated as a Geometric Programming (GP) problem. Additionally, this alternating optimization approach is suitable for the case with successive interference cancellation (SIC) in the uplink and interference pre-compensation (IPC) in the downlink as well. With a fixed precoding ordering, this provides new sub-optimal solutions to the above problems.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesIII397-III400
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: 15 Apr 200720 Apr 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Conference

Conference2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/TerritoryUnited States
CityHonolulu, HI
Period15/04/0720/04/07

Keywords

  • Capacity region
  • Max-min fairness
  • Multiuser MIMO
  • Transceiver optimization

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