Millimeter wave communication has been playing a crucial role in meeting the demand for high spectrum requirements and high-speed wireless communication. In 30 GHz to 300 GHz range, these waves are miraculously capable of resolving significant issues that relate to throughput, channel capacity and data rate. High Dimensional MIMO structures have been primarily associated with mmWaves to enhance the performance parameters through beam forming and spatial multiplexing. Channel modelling in urban, rural, indoor, outdoor environments is crucial in determining whether or not a wireless communication system can be deployed for a certain application. In this research paper, the major challenges associated with modelling mm-Wave channels are identified, and the statistical behavior of mm-Wave channels at sub 6 GHz,28GHz and 73GHz is described using the NYUSIM software. With due consideration given to atmospheric impairments such as temperature, precipitation, moisture content ,foliage, Traffic conditions, channel attenuation maps have been studied and analyzed. This work simulates the power loss, power delay profile and path loss, angle of arrival and departure with for MIMO transceivers using classical path loss models. The existing procedure involving evaluation of shadow fading values in accordance with demographic region is laborious, highly intricate, and computationally intensive. In this paper, we propose a low-complexity, efficient model for neighborhood selection that significantly reduces the complexity and error rate of shadow fading maps. The model employs 28 parameters, which are primarily classified as channel parameters and antenna parameters. Channel parameters model the propagation path, whereas antenna parameters configure the transmitter and receiver array. On the basis of changes in MIMO array structure, operating frequency (28GHz-100GHz), and environmental conditions, a comprehensive analysis is conducted. Experiments have been conducted using Matlab and NYUSIM. Outputs in the form of path loss profile, power spectral density at angle of arrival and departure, and 2D radiation patterns aid in the analysis of channel models and MIMO structures, taking environmental parameters such as temperature and humidity into account.

Channel, attenuation maps, MIMO array, environment