Superimposed training designs for spatially correlated MIMO-OFDM systems

Only one asymptotic training design for a special case of channel correlation was proposed in the literature for spatially correlated multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To fill this gap, this letter applies tractable semi-definite programming (SDP) to obtain the optimal superimposed training signals for the general case of channel correlation. For a more efficient computation, two approximate designs are also proposed. Simulation results demonstrate the efficiency of our approach and its advantage over the asymptotic design.

• Type: Journal
• Year: 2010
• Where: TWC
• Authors: Nguyen Nam Tran, Hoang Duong Tuan, Ha H. Nguyen
• Keywords: Artificial Intelligence, Asymptotic Training Design, Channel Correlation, Optimal Superimposed Training, TWC 2010