DocumentCode
1628480
Title
Reduction of the Amount of Channel State Information Feedback in MIMO-OFDM Eigenbeam-Space Division Multiplexing Systems
Author
Ohwatari, Yusuke ; Phu, Bui Huu ; Ogawa, Yasutaka ; Nishimura, Toshihiko ; Ohgane, Takeo
Author_Institution
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo
fYear
2006
Firstpage
1
Lastpage
5
Abstract
MIMO space division multiplexing in an OFDM system (MIMO-OFDM) can achive high-data-rate transmission without additional frequency spectra. Furthermore, eigenbeam-space division multiplexing (E-SDM) which is also called the singular value decomposition (SVD) algorithm can provide maximum throughput in the MIMO channel when channel state information (CSI) is available at the transmitter. When the uplink and downlink channels are not reciprocal as in a FDD system, we need to feed back the CSI from the receiver to the transmitter. However, capacity is limited because CSI feedback is needed for each subcarrier in an OFDM system. This paper proposes the feedback of the time-domain channel estimated using the minimum mean square error method. The proposed method can reduce the amount of feedback information, and reveals better bit error rate performance than the other schemes.
Keywords
MIMO communication; OFDM modulation; channel estimation; eigenvalues and eigenfunctions; least mean squares methods; singular value decomposition; space division multiplexing; time-domain analysis; MIMO channel; MIMO-OFDM eigenbeam-space division multiplexing systems; channel state information feedback; minimum mean square error method; singular value decomposition; time-domain channel estimation; Channel state information; Downlink; Feeds; MIMO; OFDM; Singular value decomposition; State feedback; Throughput; Time domain analysis; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0062-7
Electronic_ISBN
1-4244-0063-5
Type
conf
DOI
10.1109/VTCF.2006.92
Filename
4109357
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