DocumentCode
3063948
Title
X- and Y-Codes for MIMO precoding
Author
Mohammed, Saif Khan ; Viterbo, Emanuele ; Hong, Yi ; Chockalingam, Ananthanarayanan
Author_Institution
Indian Inst. of Sci., Bangalore, India
fYear
2010
fDate
13-18 June 2010
Firstpage
2143
Lastpage
2147
Abstract
We consider a time division duplex (TDD) nt × nr multiple-input multiple-output (MIMO) system with known channel state information (CSI) at both transmitter and receiver. Using singular value decomposition (SVD) precoding at the transmitter, the MIMO channels are transformed into parallel subchannels. To improve the low diversity order, we propose X- and Y-Codes, prior to SVD precoding, to pair subchannels having different diversity orders. Specifically, a pair of channels is jointly encoded using a 2 × 2 real matrix, which is fixed a priori and does not change with each channel realization. Moreover, we propose X-, Y-Precoders with the same encoding matrices as X-, Y-Codes, which adapt to each channel realization. The optimal encoding matrices for X- and Y-Codes/Precoders are derived analytically to minimize the average error probability. Finally, we see that X-, Y-Codes/Precoders indeed achieve higher diversity gains at very low encoding/decoding complexity for both well- and ill-conditioned channels, respectively, when compared to other precoding schemes in the literature. We also observe that for the Rayleigh fading channel model X- and Y-Codes/Precoders exhibit the best average error performance.
Keywords
MIMO communication; precoding; radio receivers; radio transmitters; MIMO precoding; X-codes; Y-codes; average error probability; channel state information; multiple-input multiple-output system; receiver; singular value decomposition; time division duplex; transmitter; Channel state information; Degradation; Diversity methods; Error probability; Fading; MIMO; Maximum likelihood decoding; Singular value decomposition; Transmitters; Transmitting antennas; SVD; TDD MIMO; diversity; precoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-7890-3
Electronic_ISBN
978-1-4244-7891-0
Type
conf
DOI
10.1109/ISIT.2010.5513455
Filename
5513455
Link To Document