DocumentCode :
2087242
Title :
Reduced-feedback opportunistic scheduling and beamforming with GMD for MIMO-OFDMA
Author :
Pun, Man-On ; Kim, Kyeong Jin ; Iltis, Ronald ; Poor, H. Vincent
Author_Institution :
Mitsubishi Electr. Res. Labs., Cambridge, MA
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
2009
Lastpage :
2013
Abstract :
Opportunistic scheduling and beamforming schemes have been proposed previously by the authors for reduced-feedback MIMO-OFDMA downlink systems where the MIMO channel of each subcarrier is decomposed into layered spatial subchannels. It has been demonstrated that significant feedback reduction can be achieved by returning information about only one beamforming matrix (BFM) for all subcarriers from each MT, compared to one BFM for each subcarrier in the conventional schemes. However, since the previously proposed channel decomposition was derived based on singular value decomposition, the resulting system performance is impaired by the subchannels associated with the smallest singular values. To circumvent this obstacle, this work proposes improved opportunistic scheduling and beamforming schemes based on geometric mean decomposition-based channel decomposition. In addition to the inherent advantage in reduced feedback, the proposed schemes can achieve improved system performance by decomposing the MIMO channels into spatial subchannels with more evenly distributed channel gains. Numerical results confirm the effectiveness of the proposed opportunistic scheduling and beamforming schemes.
Keywords :
MIMO communication; OFDM modulation; array signal processing; telecommunication channels; MIMO channel; MIMO-OFDMA downlink; beamforming; channel decomposition; channel gains; feedback reduction; geometric mean decomposition; layered spatial subchannels; opportunistic scheduling; spatial subchannels; Array signal processing; Bit error rate; Downlink; Fading; Feedback; MIMO; Matrix decomposition; Quality of service; Singular value decomposition; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2008.5074784
Filename :
5074784
Link To Document :
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