Title :
Channel feedback quantization methods for MISO and MIMO systems
Author :
June Chul Roh ; Rao, B.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., La Jolla, CA, USA
Abstract :
We investigate the quantization of multiple antenna channel to feed back through a low-rate feedback channel. Specifically, for multiple-input single-output (MISO) systems, we propose a new design criterion and the corresponding design algorithm for quantization of the random beamforming vector. For multiple-input multiple-output (MIMO) channels, which have multiple orthonormal vectors as channel spatial information for quantization, a matrix factorization method is proposed which provides a way to exploit the geometrical structure of orthonormality while quantizing the spatial information matrix. Results show that the quantization bit allocation over multiple spatial channels has a critical effect on the performance, and that the optimum bit allocation depends on the operating transmit power of the system.
Keywords :
MIMO systems; antenna arrays; channel coding; feedback; matrix decomposition; vector quantisation; MIMO system; MISO system; antenna array; channel feedback quantization method; channel state information; feedback channel; matrix factorization method; mean squared inner-product; multiple-input single-output; orthonormal vectors; quantization bit allocation; random beamforming vector; transmit beamforming; Algorithm design and analysis; Array signal processing; Bit rate; Channel capacity; Feedback; Feeds; MIMO; Quantization; Transmitters; Transmitting antennas;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-8523-3
DOI :
10.1109/PIMRC.2004.1373811