Title :
Adaptable channel decomposition for MIMO communications
Author :
Jiang, Yi ; Li, Jian
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA
Abstract :
Assuming the availability of the channel state information at the transmitter (CSIT) and receiver (CSIR), we consider the joint optimal transceiver design for multi-input multi-output (MIMO) communication systems. Using our recently developed generalized triangular decomposition (GTD), we propose a scheme, which we refer to as adaptable channel decomposition (ACD), to decompose a MIMO channel into multiple subchannels with prescribed capacities, or equivalently, signal-to-interference-and-noise ratios (SINR). We also determine the subchannel capacity region such that the channel decomposition is capacity lossless. This scheme is particularly relevant to the applications where independent data streams with different quality-of-services (QoS) share the same MIMO channel.
Keywords :
MIMO systems; channel capacity; channel estimation; matrix decomposition; optimisation; quality of service; radio receivers; radio transmitters; transceivers; CSIR; CSIT; MIMO communications; QoS; SINR; adaptable channel decomposition; capacity lossless decomposition; channel state information; generalized triangular decomposition; joint optimal transceiver design; multi-input multi-output communication systems; multiple subchannels; quality of service; receiver; signal-to-interference-and-noise ratios; subchannel capacity region; transmitter; Channel capacity; Channel state information; DSL; Detectors; MIMO; Quality of service; Signal to noise ratio; Transceivers; Transmitters; Wireless LAN;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1416126