In this paper, the problem of analysis and design of large-scale multiple beamforming system is considered by system theory approach. We consider the response of system parameters by set of objective functions in a critical condition, which is unable to access measurement data or the data size is large. The reduced-order model is built and the robust solution is found for a multiple beamforming system. The Monte Carlo simulation results show that the proposed multiple beamforming system yields significant performance against over existing methods.
Abstract. This paper proposes a novel Large-scale (massive) Multi-input Multi-output Multicarrier Code division multiple access (LS MIMO MC-CDMA) model and application to the Fifth-Generation Mobile Communication Systems (5G). This system uses combined cylindrical array antenna multiple beamforming architecture with spatial multiplexing. The model is optimized by Min-Max criteria in order to minimize side lobes and maximize the reduction of propagation loss. The Monte Carlo simulation results unify with the analytical solution for system performance.
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