Title :
Quantized maximum ratio transmission for multiple-input multiple-output wireless systems
Author :
Love, David J. ; Heath, Robert W., Jr. ; Strohmer, Thomas
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
Multiple-input multiple-output wireless systems can provide substantial gains in capacity and quality compared to single-input single-output (SISO) wireless systems. Maximum ratio transmission has been shown to be a low complexity solution to improving average signal-to-noise ratio (SNR), however, it requires feedback. Since in practice full channel knowledge at the transmitter is difficult to realize, we propose a technique where the receiver sends channel state information in the form of a codebook label. A codebook design method is based on a quantized version of traditional maximum ratio transmission with maximum ratio combining at the receiver. The codebook design criterion exploits the quantization problem´s relationship with Grassmannian line packaging. Systems using the transmit diversity codebooks are shown to have a diversity order of the product of the number of transmit and the number of receive antennas. Monte Carlo simulations compare the performance of systems using this new codebook method with previously proposed systems.
Keywords :
MIMO systems; Monte Carlo methods; antenna arrays; codes; diversity reception; radio receivers; radio transmitters; transmitting antennas; Grassmannian line packaging; MIMO wireless systems; Monte Carlo simulations; SISO wireless systems; SNR ratio; capacity gain; channel state information; codebook design method; maximum ratio combining; multiple-output multiple-input; quality gain; quantized maximum ratio transmission; receive antenna; signal-to-noise ratio; single-input single-output; transmit antenna; transmit diversity codebooks; Channel state information; Design methodology; Diversity reception; Feedback; MIMO; Packaging; Quantization; Receiving antennas; Signal to noise ratio; Transmitters;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197238