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Approximate Transmit Covariance Optimization of MIMO Systems with Covariance Feedback
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0003-2298-6774
2003 (English)In: Proceedings Asilomar Conference on Signals, Systems & Computers, IEEE , 2003, 1047-1051 p.Conference paper (Refereed)
Abstract [en]

The data rate of a multiple input, multiple output (MIMO) communication link can be improved if knowledge about the channel statistics is exploited at the transmitter. However, many realistic system scenarios require computationally prohibitive Monte Carlo methods in order to optimize the transmit covariance for maximization of the exact mutual information. This paper instead considers an approximative approach to maximize the performance of a communication link where covariance feedback is available at the transmitter. The algorithm presented is based on an asymptotic expression of the mutual information that allows for correlation at both the transmit and the receive side of the system. From simulations we demonstrate significant gain over beamforming and pure divversity schemes in many realistic system scenarios.

Place, publisher, year, edition, pages
IEEE , 2003. 1047-1051 p.
Keyword [en]
Additive noise, Array signal processing, Computational complexity, MIMO, Mutual information, Optimization methods, Output feedback, Sensor systems, Statistics, Transmitters, Monte Carlo methods
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-63599DOI: 10.1109/ACSSC.2003.1292085OAI: diva2:482440
Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, 2003
NR 20140805Available from: 2012-01-23 Created: 2012-01-23 Last updated: 2012-01-23Bibliographically approved

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