@inproceedings{
 title = {Capacity enhancement via multi-mode adaptation in spatially correlated MIMO channels},
 type = {inproceedings},
 year = {2005},
 identifiers = {[object Object]},
 volume = {2},
 id = {7cc02845-00a5-348d-835b-1d2c947792e5},
 created = {2016-09-06T19:48:08.000Z},
 file_attached = {false},
 profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},
 last_modified = {2017-03-24T19:20:02.182Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {We consider a low-complexity adaptive MIMO transmission approach for spatially correlated channels. The proposed scheme adaptively switches between different transmission modes depending on the changing channel conditions, as a means to enhance system capacity. Each mode is a combination of a transmission technique (ie. statistical beamforming, double space-time transmit diversity and spatial multiplexing) and a modulation/coding scheme. We first motivate our adaptive algorithm by deriving new closed-form capacity expressions, and demonstrating significant information theoretic improvements over nonadaptive transmission. We then present a practical method to switch between different modes, based on the channel statistics. Our approach is shown to yield significant improvements in spectral efficiency for typical channel scenarios.1 ? 2005 IEEE.},
 bibtype = {inproceedings},
 author = {Forenza, A. and McKay, M.R. and Pandharipande, A. and Heath Jr., R.W. and Collings, I.B.},
 booktitle = {IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC}
}

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