Performance Evaluation of Different Channel Estimation Techniques in MIMO System for Hata Channel Model

In remote exchanges, channel state data (CSI) suggests known channel possessions of a communication interface. This information depicts how a signal multiplies from the source to the gatherer and speaks to the solidified effect of, for occasion, scattering, fading, and power decay with distance. The system is named Channel estimation. The CSI sorts it possible to modify communications to current channel situations, which is fundamental for achieving strong communication with high data rates in multi-antennas systems. CSI must be assessed at the receiver and normally quantized and nourished back to the source (although switch border estimation is imaginable in TDD structures). In this way, the source and beneficiary can have varied CSI. The CSI at the source and the CSI at the beneficiary are in approximately cases mentioned to as CSIT and CSIR, exclusively. Different models were introduced in the literature for achieving accurate path-loss estimation. One of these models is the Okumura/Hata model which is recommended for being used to estimate the path-loss in the cellular systems. The main objective in this paper is to provide a guide line for path-loss estimation analysis using Okumura/Hata model. Matlab software was used to perform this analysis.