On the Study of System Parameter Estimation for Mimo-Ofdma Uplinks

To cope with the requirement of high definition (HD) multimedia transmission in next generation wireless networks, with large number of antenna elements, it is expected to adopt the multi-input- multi-output-orthogonal-frequency-division-multiple-access (MIMO-OFDMA) as the modulation system of the fifth generation (5G) mobile communication, achieving high speed transmission. This research project proposes a space-time signal processing scheme for MIMO-OFDMA uplink receivers. This study contains three successive research subtopics: 1) Joint estimation of the dispersive spatial channel parameters and the carrier frequency offset (CFO), 2) A space-time-signal-processing-based multiple access interferences (MAI) suppression scheme, and 3) Estimation of the subcarrier response for each active in-cell user. Firstly, we are going to use the space-time signal structure of the MIMO-OFDMA to jointly estimate the dispersive spatial channel parameters and the CFO via a novel ESPRIT algorithm. Next, this study conducts the MAI suppressing according to the system parameter estimates attained in the previous research phase. Two different design criteria, the least mean square error and the zero-forcing, will be adopted for the MAI suppression. Finally, this study estimates the subcarrier response of each user by using the output signals generated by the previous MAI suppression scheme. Compared with current methods of dispersive system parameter estimation, the proposed approach possesses both high estimation accuracy and low computational complexity.

Project ID:PB10507-2922
External Project ID:MOST105-2221-E182-024