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