HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems

Multiple-Input Multiple-Output (MIMO) antennas and Multi-Carrier Code Division Multiple Access (MC-CDMA) are very promising candidates for simultaneous utilize in 4G systems, since they attain robustness, high spectral efficiency, and high data rates in rich scattering environments. This paper proposes an efficient hybrid detection algorithm for a downlink MC-CDMA system based on Orthogonal Frequency Division Multiplexing (OFDM). The proposed algorithm combines Genetic Algorithm-assisted Multiobjective Optimization Problem Solutions (GAMOPS) with Simplified Local Search (SLS) technique, which accelerate the search process to locate the exact global optimum throughout the iterative Linear Minimum Mean Square Error (LMMSE) approach, so called Hybrid GAMOPS-SLS (HGS) algorithm. The HGS algorithm contributes steadfastly to an accurate system design and evaluation in the framework of a practical MC-CDMA system. Beneath high order modulation, the simulation results are presented to exhibit an improved Bit Error Rate (BER) performance up to 8.2 dB and reducing of computational complexity order in terms of floating point operations (flops) by at least one order of magnitude at joint channel estimation and multiuser detection as well as intense trade-off between them.