Novel rank-constrained maximum capacity MIMO designs under practical per-antenna power constraint

I. Tai Lu, Jialing Li

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

Abstract

Two novel numerically efficient approaches are proposed for maximum capacity designs in multiple-input multiple-output (MIMO) systems under the practical per-antenna power constraint. One is an explicit solution (ES) when the rank of the channel matrix is equal to the number of transmit antennas. And the other is an efficient iterative approach (EIA). The ES is optimum and the EIA is nearly optimum in the maximum capacity sense. The key advantage of the EIA is that the number of data streams (i.e., the rank of the transmit covariant matrix) can be pre-specified and therefore tradeoffs between multiplexing and diversity gains can be facilitated. Numerical results show that the capacity and MSE performances with the more practical per-antenna power constraint are very similar to those with the less practical total power constraint.

Original languageEnglish (US)
Title of host publication2011 34th IEEE Sarnoff Symposium, SARNOFF 2011
DOIs
StatePublished - Jul 11 2011
Event2011 34th IEEE Sarnoff Symposium, SARNOFF 2011 - Princeton, NJ, United States
Duration: May 3 2011May 4 2011

Publication series

Name2011 34th IEEE Sarnoff Symposium, SARNOFF 2011

Other

Other2011 34th IEEE Sarnoff Symposium, SARNOFF 2011
CountryUnited States
CityPrinceton, NJ
Period5/3/115/4/11

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Keywords

  • Joint transceiver design
  • MIMO systems
  • Maximum capacity
  • Per-antenna power constraint
  • Rank constraint

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Lu, I. T., & Li, J. (2011). Novel rank-constrained maximum capacity MIMO designs under practical per-antenna power constraint. In 2011 34th IEEE Sarnoff Symposium, SARNOFF 2011 [5876469] (2011 34th IEEE Sarnoff Symposium, SARNOFF 2011). https://doi.org/10.1109/SARNOF.2011.5876469