Abstract
Introduction: Massive MIMO is a process where cellular BSs comprise a large number of antennas. In this study, the focus is to develop end-to-end massive-MIMO system under the Rayleigh channel fading effect. Also, it includes both inter-channel interference and the intra-channel interference in an m-MIMO network system.
Methodology: The main aim of this research is to increase the throughput and network capacity and optimize the channel collision between the associated pilots. Here, we propose an RCSA protocol with the 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 can access the network. Furthermore, to validate the performance of the proposed scheme, the proposed model is compared with the state-ofthe- art model.
Results: We herein provide the analysis based on two considered scenarios; such as scenario-A, where intra-channel interference is taken into account, whereas in scenario-B, both intra-cell channel interference as well as inter-cell channel interference are considered. Our RCSA approach is proposed with uncorrelated Rayleigh fading channels (URFC) that are used to increase the capacity of the network and decrease the collision probability.
Conclusion: Here, we have proposed the RCSA approach; RCSA comprises 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 Tuses. This research focuses on RAB where inactive UEs are admitted to PDB; also it proposes the RCSA approach for RAP that provides protection from strong inter-cell interference in m-MIMO systems.
Discussion: In order to compare our RCSA-URFC approach, here we have considered the state-ofart technique, such as vertex graph-coloring-based pilot assignment (VGCPA) under URFC. In addition, we have also considered the bias term randomly to make decision regarding a particular UE. Moreover, it is very difficult to identify the strong probability of UE, therefore as per information obtained via b to UEs, the bias term can be selected for the UE in order to moderate the decision rule.
Keywords: Multiple-In Multiple-Out (MIMO), Reactive channel state based allocation (RCSA), Base Stations (BSs), User Equipments (UEs), Random Access Protocol (RAP), URFC.
Graphical Abstract