Performance analysis of massive MIMO hybrid neamforming using regularized zero forcing and phased zero forcing
Year: 2025
Type: article
Abstract: This research analyzed the performance of hybrid beamforming in a 256 x 256 Massive MIMO system, which aimed to reduce energy power consumption by applying two methods: Regularized Zero Forcing and Phased Zero Forcing. The approach used was an experimental method simulated through MATLAB software to evaluate the performance of hybrid beamforming using both methods. Based on the simulation results, the RZF and PZF methods achieved the target Bit Error Rate (BER) of 10⁻⁴ at Signal-to-Noise Ratios (SNRs) of 9.8 dB and 10 dB, respectively. In comparison, the system without hybrid beamforming required an SNR of 11.5 dB to achieve the same performance. These results showed that hybrid beamforming with the RZF method was more effective in improving the performance of Massive MIMO systems, as it had a regularization factor that helped balance between signal gain and interference suppression. Thus, the implementation of RZF in hybrid beamforming was identified as a potential solution to optimize wireless communication performance. This research provided a basis for the further development of 5th-generation communication technology and beyond, where massive MIMO and hybrid beamforming are crucial technologies. The results of this analysis could be applied to designing 5G networks to ensure high capacity and reliability.
Source: SciEnggJ
Authors: Endah Setyowati, Gita Alisrobia Nazarudin, Galura Muhammad Suranegara, Ahmad Fauzi
Institution: Indonesia University of Education
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Funder: Universitas Pendidikan Indonesia
OpenAlex ID: W4414974520
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