Low complexity MIMO Order and Transmit Antenna Subset Selection in Correlated Channels
Conference: European Wireless 2013 - 19th European Wireless Conference
04/16/2013 - 04/18/2013 at Guildford, UK
Proceedings: European Wireless 2013
Pages: 6Language: englishTyp: PDF
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Authors:
Schneider, Christian; Iqbal, Naveed; Thomae, Reiner S. (Electronic Measurement Research Lab, Institute for Information Technology, Ilmenau University of Technology, P. O. Box 100565, 98684 Ilmenau, Germany)
Abstract:
Within the field of link adaption for spatial multiplexing MIMO transmissions we focus on adaptive swichting of the number of active RF modules and followed by optimized antenna subset selection (AS). This contribution proposes a approximated analytical solution for the selection of the MIMO order (MOS) depending on the full channel matrix and the signal-to-noise ratio. If the number of selected transmit antenna is lower then number of the available transmit antennas an antenna subset selection takes place to maximize the channel capacity. Here we propose different low complex approaches based on the pairwise antenna correlations and receive signal-tonoise ratio. The results of our performance evaluation highlight that the proposed techniques have no or very minor performance degradation but significantly reduced complexity compared to optimal and suboptimal solutions known from literature. Keywords – Link adaptation, MIMO order selection, antenna subset selection, multiple inputs multiple outputs (MIMO), spatial multiplexing, capacity maximization, correlation