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In a frequency-selective MIMO channel, the optimum beamforming is achieved by using eigenvectors, i.e., eigenbeam-space division multiplexing (E-SDM), in the frequency domain. However, the calculation load of eigenvalue decomposition increases in proportion to the number of FFT points. In addition, eigenvectors without consideration of frequency continuity increase the delay spread of the effective...
In a frequency-selective MIMO channel, the optimum beam- forming is achieved by using eigenvectors, i.e., eigenbeam- space division multiplexing (E-SDM), in the frequency domain. However, the calculation load of eigenvalue decomposition increases in proportion to the number of FFT points. In addition, eigenvectors without consideration of frequency continuity increase the delay spread of the effective...
Multiple Input Multiple Output (MIMO) systems using an eigenbeam-space division multiplexing (E-SDM) technique have been recently considered high-rate wireless communications. In the E- SDM technique, channel state information (CSI) is required at a transmitter in order to form orthogonal transmission beams and allocate transmit data resources adaptively. In the ideal case, received signals can be...
MIMO measurement campaigns were conducted in indoor environments. Based on the measured data, this paper examines the channel auto-correlation and Doppler spectrum in a case where a receiver is moving with respect to a fixed transmitter in the propagation environments with static scatterers. The bit error rate (BER) performance of 4 times 4 MIMO eigenbeam-space division multiplexing(E-SDM) system...
In a frequency-selective MIMO channel, the optimum transmission is beamforming based on eigenvectors, i.e., eigenbeam-space division multiplexing (E-SDM), at each frequency point. However, the calculation load of eigenvalue decomposition at the transmitter increases in proportion to the number of frequency points. In addition, frequency-independent eigenvectors increase the delay spread of the effective...
Performance of multiple-input multiple-output (MIMO) systems applying the eigenbeam-space division multiplexing (E-SDM) technique may be degraded in time-varying fading environments due to a channel change during the time interval between the transmit weight matrix determination and the actual data transmission. We have proposed some channel prediction methods to compensate for the channel change...
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