HGS-assisted detection algorithm for 4G and beyond wireless mobile communication systems
作者： Mahamod Ismail , Fares Sayadi , Rosdiadee Nordin
DOI: 10.1109/APCC.2011.6152873
关键词:
摘要: 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, data rates rich scattering environments. This paper proposes an efficient hybrid detection algorithm a downlink MC-CDMA system based on Orthogonal Frequency Multiplexing (OFDM). The proposed combines Genetic Algorithm-assisted Multiobjective Optimization Problem Solutions (GAMOPS) with Simplified Local Search (SLS) technique, which accelerate the search process to locate exact global optimum throughout iterative Linear Minimum Mean Square Error (LMMSE) approach, so called Hybrid GAMOPS-SLS (HGS) algorithm. HGS contributes steadfastly accurate design evaluation framework of practical system. Beneath order modulation, simulation results presented exhibit improved Bit Rate (BER) performance up 8.2 dB reducing computational complexity terms floating point operations (flops) by at least one magnitude joint channel estimation multiuser as well intense trade-off between them.
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