User Mobility in a 5G Cell with Quasi-Random Traffic under the Complete Sharing and Bandwidth Reservation Policies

Abstract

5G cellular mobile networks aspire to accommodate large numbers of users and devices most of which are expected to be mobile. They will also provide much higher data rates than previous generations’ networks. Analyzing how a cell’s performance is impacted by user mobility becomes paramount in an effort to provide the best possible quality of services. In this paper we propose a model of a generic cell where each user is moving based on the random waypoint model. We then adapt this model to a 5G cell to extract meaningful quality of service metrics. To this end and to provide a better perspective of how the model can be adapted to different bandwidth allocation policies, we extend the Engset multirate loss model to obtain recursive but efficient formulas for various performance measures, including call blocking and time congestion probabilities for both the complete sharing and bandwidth reservation policies.