Capacity Enhancement Technique via CRAT in an MU-MIMO System with Statistical Power Analysis

This study aims to compare the effectiveness of the CRA technique and PRA technique in an MU-MIMO system and determine which technique can better enrich the total capacity of the system. Group 1 developed the cooperative resource allocation algorithm, while Group 2 created the priority resource allocation algorithm. The statistical power analysis was performed using a G power level of 80% and an alpha value of 0.061. The study is expected to provide insights into the effectiveness of CRA and PRA techniques in an MU-MIMO system and determine which technique can better enrich the total capacity of the system. The study will also provide recommendations on the optimal number of users and resources that should be used to achieve the best performance using CRA and PRA techniques. The novel CRA technique outperforms the PRA technique in terms of sum capacity performance for the MU-MIMO of the wireless network.