We propose a project where we plan on utilizing the capability of wireless systems to improve the performance of system. Considering practical limitations like limited bandwidth resources, performance metrics like capacity, data rate and latency are investigated as target variables. This is done by intelligently designing arrays at both transmitter base stations (BS) and receivers (mobile devices). Through this approach, not only the prevalent industrial practices can be improved, but society can be revolutionized sustainably to take advantage of this capability without any additional hardware. Data traffic is growing at an exponential rate in wireless communication systems. This can also be deduced from the Ericsson Mobility Report in Global mobile network data traffic which states that the total mobile data traffic is estimated to grow by a factor of around 3 between 2023 and 2029. To cater to this development, we must constantly increase the total bit rate that the system provides. The upper rate limit is defined by the Shannon capacity which is equal to B*log_2(1+(P beta)/(B*N_0)), where B represents the bandwidth, P denotes the transmit power, beta defines channel gain and noise spectral density is denoted by N_0. It is observed that increasing bandwidth B is the preferred way to enhance capacity. However, spectrum is a scarce global resource. we need to look for new design dimensions to keep raising the capacity. The only efficient way is do this is to transmit multiple parallel data streams. This approach requires antenna arrays at both the transmitter and receiver sides, and is known as multiple-input multiple-output (MIMO). In this project, we aim to explore the vision and foundations of MIMO and exploit this capability of system to solve the already existing challenges. Specifically, we aim to: • Establish theoretical frameworks in practical scenarios contribute to leveraging communication in MIMO • Develop the relevancy of our selected scenario with practical limitations. • Execute and investigate our tailored scenario via simulations using credible platforms such as MATLAB. • Conduct a comparative analysis with already existing work. • Propose the research outcomes to relevant industries to shape prevalent practices. A comprehensive study on MIMO allows industries to be aware of their practices and encourages them to innovate the already existing frameworks without the expense of more resources. This helps society in maintaining sustainable practices, for instance with less but more efficient base stations.