Due to advancement of that wireless technology and types of services they provide, the numbers of users and applications are increasing rapidly. To serve the increasing number of users and entertain the evolving application and the provision of new services with strict requirements for data speeds, latency, and dependability is anticipated for 5G wireless networks. Massive MIMO systems, or wireless networks with numerous base station antennas and multiple user multiplexing, are essential to handle the exponential growth in data traffic. The random access in modern networks will get overwhelmed with user collisions as the number of users rises. This thesis explains why devices must employ random access to pilot the channel estimate sequences and demonstrates how Massive MIMO is a key tool for achieving both rapid access at high data rates and delay-tolerant access at various data rate levels. . In this study, we employ the strongest-user collision resolution random-access protocol (SUCR). It takes advantage of Massive MIMO’s channel hardening feature to let each user notice collisions, gauge how strong the channels of the competitors are, and only continue broadcasting if it has the highest channel gain. The great majority of pilot collisions can be rapidly and evenly resolved using this SUCR methodology. The numerical results demonstrate that the SUCRe protocol can resolve around 90% of all collisions and that it is robust to inter-cell interference and choice of channel distribution. The protocol does not break down in overloaded situations, where more UEs request pilots than there are RA resources, but continues to admit a subset of the accessing UEs. And SUCRe has good performance compare to LTE in terms of throughput, access success probability, number of pilot transmission and access delay. Keywords: Random Access, mMIMO, SUCR