Handover Skipping Analysis in Dense Cellular Network Using Poisson Cluster Process

Abstract

Network densification via deploying various sorts of small base stations could improve spectral utilization, therefore the whole cellular network capacity is increased. Nevertheless, for moving user equipment (UE) (resp. the network), network densification could cause frequent handover (HO), which brings connection delay and disconnection risks (resp. huge energy and resource consumption). In our study, we consider a two-tier heterogeneous cellular network that is modeled by a Poisson Point Process and a Poisson Cluster Process. Inside the network, we consider a random walk-based UE with a time-based HO skipping technique. Based on the system model, we provide expected approximated analytical results for both HO rate and data rate. In addition, we conduct numerical experiments to verify the efficiency of our proposed model.