Abstract

Aim: The aim of this research is to increase the system's capacity rate of the system using the novel Modified ESPRIT Multi Signal Classification (Modified ESPRIT-MUSIC) algorithm in comparison with Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT). In this paper, a reliable novel Modified ESPRIT Multi Signal Classification (Modified ESPRIT-MUSIC) direction of arrival (DoA) estimation technique employed to reduce interference in a Digital beamforming Multi-Input Multi-Output Non-Orthogonal Multiple Access (MIMO NOMA) system over Rayleigh fading channel. Materials and Methods: The Modified ESPRIT-MUSIC algorithm is implemented in Digital beamforming at lower signal to noise ratio (SNR) levels. The DoA estimation technique is used in the MIMO NOMA system to decrease interference and increase sum rate. The addition of the estimation process with an additional estimation algorithm gives accurate user detection. The performance of this proposed algorithm is compared with the existing ESPRIT algorithm for the same antenna parameters. Group 1 is the ESPRIT algorithm, and Group 2 is the Modified ESPRIT-MUSIC algorithm. The sample size for each group is 20. The total sample size is 40. The pretest power simulation is 80% with a significance of 0.15. Results: The performance analysis of the proposed system is calculated in terms of capacity vs SNR. The increase in capacity of the proposed system by accurate user detection through beamforming is possible because of the combined ESPRIT-MUSIC algorithm. The mean capacity value for the proposed novel system is 13 bps/Hz at 10 dB and 26 bps/Hz at 20 dB SNR, and the mean capacity value for ESPRIT algorithm is 12 bps/Hz at 10 dB and 23 bps/Hz at 20 dB SNR. Conclusion: From the simulation results and independent sample tests, the novel Modified-ESPRIT MUSIC algorithm detects signals significantly better than the ESPRIT algorithm and increases the system's capacity.

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