TY - JOUR
T1 - A MIMO antenna structure that combines transmit beamforming and spatial multiplexing
AU - Kim, Il Han
AU - Lee, Kyungchun
AU - Chun, Joohwan
PY - 2007/3
Y1 - 2007/3
N2 - We propose a new closed-loop MIMO (Multiple-Input Multiple-Output) signal processing scheme that combines transmit beamforming and spatial multiplexing in Rayleigh frequency-flat fading channel environment. Diversity gain is achieved by beamforming, and multiplexing gain by spatial multiplexing. The proposed scheme is particularly useful for downlink communication, where the number of transmit antennas at the base station is greater than the number of receive antennas at the mobile. Beamforming weight vectors are computed at the receiver using the estimated channel matrix and are sent to the transmitter. The computation is based on the mutual information maximization criterion which reduces to a symmetric eigenvalue problem. The BER (Bit Error Rate) performance comparisons with other known schemes are also presented for the cases of the ML (Maximum Likelihood) decoding and the MMSE (Minimum Mean-Squared Error) nulling and ordered-cancellation decoding, through extensive Monte-Carlo simulation. The simulation results show that the proposed scheme has lower BER than the other schemes.
AB - We propose a new closed-loop MIMO (Multiple-Input Multiple-Output) signal processing scheme that combines transmit beamforming and spatial multiplexing in Rayleigh frequency-flat fading channel environment. Diversity gain is achieved by beamforming, and multiplexing gain by spatial multiplexing. The proposed scheme is particularly useful for downlink communication, where the number of transmit antennas at the base station is greater than the number of receive antennas at the mobile. Beamforming weight vectors are computed at the receiver using the estimated channel matrix and are sent to the transmitter. The computation is based on the mutual information maximization criterion which reduces to a symmetric eigenvalue problem. The BER (Bit Error Rate) performance comparisons with other known schemes are also presented for the cases of the ML (Maximum Likelihood) decoding and the MMSE (Minimum Mean-Squared Error) nulling and ordered-cancellation decoding, through extensive Monte-Carlo simulation. The simulation results show that the proposed scheme has lower BER than the other schemes.
KW - Beamforming
KW - Nulling and ordered-cancellation decoding
KW - Spatial multiplexing
UR - https://www.scopus.com/pages/publications/33947587042
U2 - 10.1109/TWC.2007.04829
DO - 10.1109/TWC.2007.04829
M3 - Article
AN - SCOPUS:33947587042
SN - 1536-1276
VL - 6
SP - 775
EP - 779
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 3
ER -