Big Data Collection in 5G Networks

In accordance with the increasing number of devices, Big Data generated per device enlarge, as a result, the total amount of traffic is also exponentially growing. Participants of the telecommunications community are making efforts to cope with growing mobile traffic. Fifth generation of network significantly expands the field of mobile communication, creates new opportunities for collecting Big Data from various interactions within the network. In this study the overview and analysis of Big Data collection in 5G wireless Network and beyond 5G Network with Moving Cells were made. The analysis contains a brief history of wireless networks, deep overview of 5G regulation and standardization, emerging Big Data applications and services enabled by 5G specifics, novel technical solutions such as mmWave, massive MIMO, Small Cells in Heterogeneous Network. The comparison of different generations of mobile networks was included and the infrastructural model of beyond 5G Network in Archimate environment was created, different stages of 5G implementation, specific of main features as New Radio, D2D and Ultra-Dense Network of beyond 5G were considered. The main challenges connected with emergence of beyond 5G are included and one of them, related to heterogeneous mobility of users and moving cells was analyzed in detail and resolved. Analysis of beyond 5G Network based on Queueing theory and with the usage of R programming were made, the simulation model of beyond 5G network was created. The modules of analysis explore dependencies between parameters and performance indicators. The obtained results affect strategy of the network resource allocation.