Adaptive MIMO antenna selection

TitleAdaptive MIMO antenna selection
Publication TypeConference Paper
Year of Publication2003
AuthorsBerenguer, I., X. Wang, and V. Krishnamurthy
Conference NameSignals, Systems and Computers, 2003. Conference Record of the 37th Asilomar Conference on
Pagination21 - 26 Vol.1
Date Publishednov.
Keywordsadaptive antenna arrays, adaptive MIMO antenna selection, antenna arrays, channel estimation, channel state information, convergence, discrete stochastic approximation algorithms, MIMO systems, multiple-input multiple-output, optimisation, optimization, Shannon capacity, stochastic processes, time-varying channels

The performance of multiple-input multiple-output (MIMO) systems can be improved by employing a larger number of antennas than actually used and selecting the optimal subset based on the channel state information. Existing antenna selection algorithms assume perfect channel knowledge and optimize criteria such as Shannon capacity or various bounds on error rate. This paper examines MIMO antenna selection algorithms when the set of possible solutions is large and only a noisy estimate of the channel is available. We propose discrete stochastic approximation algorithms to adoptively select a better antenna subset using criteria such as maximum channel capacity, minimum error rate, etc. We also consider scenarios of time-varying channels for which the antenna selection algorithms can track the time-varying optimal antenna configuration. We present numerical examples to show the convergence of these algorithms and the excellent tracking capabilities.


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2020 The University of British Columbia