###### Abstract
When the MIMO system contains no decorrelation mechanisms between sub-channels, significant fading and multipath effects are presented at the receiver side. In the case that the MIMO system contains decorrelation mechanisms, there is significant reduction in the diversity gain. What characterizes existing models of mmWave wireless communication systems are the classical LOS models. Thus, under the above-mentioned events, the LOS components are decomposed into NLOS, i.i.d, and Rayleigh MIMO channel components, with random multi-path effects, which are destructive to mmWave systems. Another complicated problem is the loss of systemic energy efficiency. This power-loss is manifested in the fact that without any spatial techniques such as polarization diversity, direct receiving of a transmitted signal that transmits from a vertically polarized antenna and is received with a horizontally polarized antenna, and also in the opposite case (i.e., transmitting from horizontally polarized antenna and receiving with a vertically polarized antenna), that is, a cross-polarization path, will result in a significant loss of power of 3 dB or more in the received signal [14; 15]. The second complicated problem regarding the issue of destruction effects, is the formulation of the communication model. The complexity of formulating a communication model involves identifying the statistical process of the channel. These processes are dependent and change rapidly according to rain intensity, scattering properties, density, rainfall rate, and drop radius and must be taken into account in the channel model. These statistical process also depends on the ratio between the drop size of the rain to the wavelength of the propagation wave and also depends on extreme rain rate conditions, including the rain velocity [16]. The model distribution converts from the known Rayleigh-Ricean distribution model to gamma distribution, or exponential distribution, or log-normal distribution [16]. The complex formulations of the proposed solutions are also a serious and complicated problem. It is because these effects, especially the non-locality of the rain distortion effects that are not local-spatial effects, can be bypassed, filtered spatially, or offset digitally, such as analog-digital-interference-cancellation [17; 18; 19], as can be applied to space interferences. These effects are randomly deployed across the entire area between the transmitter and the receiver, making it challenging to develop practical solutions to improve system performance. Several recently developed techniques are accepted, implemented, and deal with destructive phenomena [10; 20; 21]. The common denominator of these techniques is the estimation of a uni-polarized correlated Rayleigh channel, with an approximation of a spatial correlation matrix. There is also sharing of overhead information between the receiver and the transmitter, such as correlation mechanisms (space and polarization), allowing for fixed receive or transmit power constraints, and allocating power to the uni-co and dual-polarized path schemes. In addition, it is possible to design intelligent [21; 22], hybrid [21; 23], and orthogonal-beam-forming [22] based on polarization schemes at the array antennas. However, the complexity and the rate of convergence of the approximation of the Channel-State-Information (CSI) relative to the real channel-response including the covariance-correlation polarization-matrix, as well as the architectural complexity required (RF-chains, phase-shiftier, amplifiers, and approximation of digital weight matrix) in both transmitter and receiver, may lead to a state of asymmetry of the cost versus effectiveness of these techniques, when dealing with destructive phenomena such as rain distortions. In order to achieve these two performance objectives: ultra-capacity and the above-mentioned physical destructive scenarios, it is necessary to combine two advanced communication approaches.