This paper offers an in-depth analysis of optimized beamforming strategies for millimeter-wave (mm Wave) 5G antenna arrays. The advent of 5G technology brings significant improvements in data rates and connectivity, driven largely by the use of mm Wave frequencies and MIMO (multiple-input, multiple-output) techniques. The most important aspect in optimising the potential of these technologies involves identifying the direction of arrival (DOA) and applying beamforming into practice. By concentrating signal transmission and reception in targeted directions, these methods significantly improve network performance and coverage. These techniques can be implemented using a variety of algorithms. This paper examines the performance of the minimum variance distortion less response (MVDR) beamforming algorithm. This adaptive beamforming approach evaluates a receiver signal processing technique that continuously tracks, computes, and modifies weights inside an evolving electromagnetic field. Various optimization techniques are examined, and an analysis comparing the conventional delay-and-sum beamformer (DAS) with the MVDR beamformer is conducted using different parameters such as the number of antenna elements and element spacing. This comparison is performed using MATLAB simulations. Our results provide key insights for the design and deployment of mm Wave 5G antenna arrays, contributing to the development of robust, high-capacity wireless communication networks.