An Approach for spectral efficiency and Performance Optimisation by Using Adaptive Hybrid Beamforming in Multi-User massive MIMO OFDM Systems


Smt. D. Lalitha Kumari, Assistant Professor, M. Mounika, Student


In this paper, we consider multiuser massive multiple input multiple outputs (MIMO)- orthogonal frequency division multiplexing (OFDM) hybrid beamforming designs. We propose a closed-form approach that needs no iterations and is low in complexity to maximise spectral efficiency and performance. Matrix decomposition is used for analogue beamforming, and weighted MMSE is used for digital beamforming. Despite the fact that it isn’t expected to optimise spectral efficiency, it shows some performance degradation. We proposed an adaptive hybrid precoding system that combines analogue as well as digital processing. To solve this problem, use the optimised minimum mean square error (MMSE) algorithm. Additive white Gaussian noise (AWGN) interferes with the signal in a broad MIMO communication channel with several users, each with a different number of data streams, and additive white Gaussian noise (AWGN) interfering with the signal along the direction, an adaptive hybrid beamforming structure is proposed to minimize the number of radio frequency chains. A bit error rate (BER) of the proposed system versus various fully digital beamforming methods under various conditions, Multi-user interaction is avoided as data is broadcast over a wireless channel, and hybrid MMSE and adaptive hybrid optimise MMSE are used at the receiver end, resulting in improved performance and spectral efficiency improvement is compared .Which is evaluated through simulation.