Title :
Fault Tolerance of Quantized Unitary Precoders
Author :
Panah, Ali Yazdan ; Vaughan, Rodney G.
Author_Institution :
Simon Fraser Univ., Burnaby, BC
Abstract :
Precoding based on channel state information (CSI) can help improve the performance of orthogonal space-time block codes (OSTBCs). Optimum precoders require a fairly detailed description of the channel singular vectors motivating the use of limited feedback communications to send some quantized form of the precoder to the transmitter. To this end, the singular value decomposition (SVD) is the fundamental step in extracting the singular vectors of the channel. In this paper we revisit a limited feedback technique based on the quantization of the dominant right singular vector of the channel matrix. Lifting the assumption of perfect channel estimation at the receiver, we investigate channels affected by Gaussian noise, line of sight component, and phase uncertainty. We also assume a more general channel model that incorporates channel correlations. Our simulations show that the quantized nature of the precoders provides the system with resiliency to such impairments
Keywords :
channel coding; channel estimation; fault tolerance; precoding; channel correlation; channel estimation; fault tolerance; limited feedback technique; quantized unitary precoder; receiver; Block codes; Channel estimation; Channel state information; Fault tolerance; Feedback communications; Gaussian noise; Matrix decomposition; Quantization; Singular value decomposition; Transmitters; Feedback communication; MIMO systems; Singular value decomposition;
Conference_Titel :
Signal Processing Systems Design and Implementation, 2006. SIPS '06. IEEE Workshop on
Conference_Location :
Banff, Alta.
Print_ISBN :
1-4244-0383-9
Electronic_ISBN :
1520-6130
DOI :
10.1109/SIPS.2006.352598