DocumentCode :
812569
Title :
Reduced Feedback MIMO-OFDM Precoding and Antenna Selection
Author :
Pande, Tarkesh ; Love, David J. ; Krogmeier, James V.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
Volume :
55
Issue :
5
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
2284
Lastpage :
2293
Abstract :
Transmitter precoding for multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is an effective way of leveraging the diversity gains afforded by a multiple-transmit multiple-receive antenna system in a frequency selective environment. In the limited feedback scenario, optimal precoder representation for narrowband MIMO systems using moderately sized codebooks designed on the Grassmann manifold has been shown to perform remarkably well. In MIMO-OFDM systems, precoder matrices have to be designed for all subcarriers and the amount of feedback can get prohibitively large. This is especially true for next generation wireless local area networks and wireless metropolitan area networks which have a large number of subcarriers. In this paper, we present techniques to reduce this feedback requirement and the performance of these algorithms is numerically shown to provide improvement over existing schemes
Keywords :
MIMO communication; OFDM modulation; antenna arrays; diversity reception; precoding; Grassmann manifold; antenna selection; diversity gains; frequency selective environment; limited feedback scenario; multiple-input-multiple-output; multiple-transmit multiple-receive antenna system; narrowband MIMO systems; optimal precoder representation; orthogonal frequency division multiplexing; reduced feedback MIMO-OFDM precoding; Antenna feeds; Diversity methods; Feedback; Frequency diversity; MIMO; Narrowband; OFDM; Transmitters; Transmitting antennas; Wireless LAN; Antenna subset selection; closed-loop multiple- input–multiple-output (MIMO) systems; geodesics; interpolation; limited feedback; orthogonal frequency division multiplexing (OFDM);
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2006.890936
Filename :
4160202
Link To Document :
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