Multi-Objective Optimization Using the Bees Algorithm in Time-Varying Channel for MIMO MC-CDMA Systems

This paper proposes novel application of the Bees algorithm to multi objective optimization problems for the uplink of a multi carrier code division multiple access (MCCDMA) system based on orthogonal frequency division multiplexing (OFDM). The multiple input multiple output (MIMO) channel from users, which moves at vehicular speed, to the base-station (BS) is time variant. For time varying channels the computational complexity of the two linear minimum mean square error (LMMSE) filters due to be computed at every time instant for channel estimation and multiuser detection (MUD), is nevertheless high. Thus, we develop a novel implementation of the multi objective Multi-Objective Optimization Using the Bees Algorithm in Time-Varying Channel for MIMO MC-CDMA Systems 412 optimization problems based on Bees algorithm throughout the iterative multiuser detection for a MIMO MC-CDMA system. This approach achieves intense trade-off between bit error rate (BER) performance and computational complexity with the benefit of utilizing fewer control parameters for time-varying channels as compared to the representative counterparts that is validated by simulations.