RCSA Protocol with Rayleigh Channel Fading in Massive-MIMO System

Abstract

Introduction: Massive MIMO is a process where cellular BSs a large number of antennas. In this study, we concern about the end-to-end massive-MIMO system under the Rayleigh channel fading effect. Also, it includes both inter-channel interference and intra channel interference in an m-MIMO network system. Method: The major aim is to increase the throughput and network capacity as well as minimizing the channel collision in between the associated pilots. Here, we proposed an RCSA protocol with Rayleigh channel fading effect in the m-MIMO network to create a network like a real-time scenario. Here we have focused on the deployment of urban scenarios with the small timing variation and provided our novel RAP for the UEs, where the UEs want to access the network. To validate the performance of our proposed scheme we are going to compare with the state-of-art technique in the result analysis section. Result: We provide the analysis based upon the two considered scenarios; such as scenario-A considered at intra-channel interference and whereas in scenario-B considered both intra-cell channel interference as well as inter-cell channel interference. Where our RCSA approach is proposed with uncorrelated Rayleigh fading channels (URFC) that used to increase the capacity of network and decrease the collision probability. Conclusion: Here, we proposed the RCSA approach and it consist of four major steps such as; system initialization and querying; response queuing; resource contention and channel state analysis and, resource allocation. The system performs in the TDD mode of operation and the resources of time-frequency are divided into the coherent blocks of channel Discussion: In order to compare our RCSA-URFC approach, here we consider the state-of-art technique such as vertex graph-coloring-based pilot assignment (VGCPA) [35] under URFC. In addition we also consider the bias term randomly to make decision on particular UE. It very difficult to guess the strong probability of UE, therefore as per information obtained via