DocumentCode
3080836
Title
Transmit and Receive Weights in Vector Coding with Channel Estimation Error and Feedback Delay
Author
Takano, Kyohei ; Adachi, Koichi ; Ohtsuki, Tomoaki
Author_Institution
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
fYear
2011
fDate
5-9 Dec. 2011
Firstpage
1
Lastpage
5
Abstract
Vector Coding (VC) is a transmission scheme that can obtain path diversity gain while orthogonalizing multiple symbols. It has been shown that VC can provide good bit error rate (BER) performance compared to orthogonal frequency division multiplexing (OFDM). In addition VC has been proven to be the optimal partition of time domain channel. However, In VC, the eigenvectors of the channel matrix must be available at both transmitter and receiver. Thus, orthogonalization and path diversity gain can be achieved only if perfect channel state information (CSI) is available at both ends. However, there exists channel estimation error in practice. In addition feedback delay of estimated CSI causes mismatch of CSI at both ends, which degrades the performance of VC severely. To see the feasibility (implementability) of VC, it is very important to evaluate the effects incurred by channel estimation error and feedback delay on the performance of VC. In this paper, we analyze VC system in the presence of channel estimation error and feedback delay. We show how the transmit and receive weights selection affects the performance of VC. Numerical (Theoretical) results are confirmed by computer simulations.
Keywords
OFDM modulation; channel estimation; encoding; error statistics; matrix algebra; radio networks; CSI; OFDM; VC; channel estimation error; channel matrix; feedback delay; orthogonal frequency division multiplexing; orthogonalizing multiple symbols; receiver; transmitter; vector coding; wireless systems; Bit error rate; Channel estimation; Delay; Interference; Noise; OFDM; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location
Houston, TX, USA
ISSN
1930-529X
Print_ISBN
978-1-4244-9266-4
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2011.6134194
Filename
6134194
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