Performance Analysis of LTE System based on Precoding Matrix Indicator

3GPP UMTS Long Term Evolution (LTE) requires the calculation of three different feedback values such as Precoding Matrix Indicator (PMI), Rank Indicator (RI) and Channel Quality Indicator (CQI). Our novel method proposes, these three different feedback values are applying to the wireless multihop relaying network for improving the efficiency of the MIMO. To reduce the computational burden for the user equipment, our method decomposes the problem into three separate steps, one of jointly evaluating the PMI and RI based on a mutual information metric and one of choosing the CQI value to achieve a given target Block Error Ratio (BLER) constraint and these feedback values are applying into the Wireless multihop relaying. Wireless multihop relaying can increase the aggregate network data capacity and improve coverage of wireless systems by reducing path loss, mitigating shadowing, and enabling spatial reuse. The influence of estimated channel knowledge on the feedback choice is investigated for BLER, maximum likelihood Estimator.