ShivakiranKiran N, Chitra2026-04-022026-04-022023-07https://gnanaganga.alliance.edu.in/handle/123456789/100405G introduces a sea change in wireless networking. It offers improved data rates with minimum latency and higher network capacity. Among the crucial introductions to achieve these improvements, MIMO systems stand out by employing multiple antennas at transmitter and receiver ends to optimize the conditions of transmission and reception of the signal. Beamforming is an important technique in MIMO which forms directional and space- discriminated distribution of radio signals with the end of improving performance in wireless communications. This paper, "Performance Analysis of MIMO Beamforming Techniques in 5G," will discuss three of the major beamforming approaches: Zero-Forcing (ZF), Maximum Ratio Transmission (MRT), and Regularized Zero-Forcing (RZF). In this paper, performance based on the key metrics of SNR, BER, and channel capacity will be analysed and compared for such techniques using simulations through MATLAB software. This analysis indicates definite performance characteristics for each technique. While ZF grants effective interference cancellation, it often suffers from noise amplification issues. Maximum Ratio Transmission will optimize the signal strength at the receiver end but will not work on interference. Regularized Zero-Forcing incorporates a regularization parameter to mitigate the noise issues and, therefore, offers improved robustness compared to ZF. These insights are of paramount importance in the selection of the right beamforming strategy for different 5G scenarios including high-density users and dynamic channel conditions. The findings of this study go to inform the researchers and practitioners in the design and optimization process of 5G networks. This contribution hopefully provides insight into various beamforming strategies and how they might impact network performance and makes informed choices about advanced MIMO systems that could be deployed in next-generation wireless networks.enZF, MRT, ZRF, Beamforming, SNR, BERtext::report