Abstract
The mobility management will be more complex and will have a great impact on the quality of service in the future cellular networks, as these networks will have to handle a huge number of user equipments (UEs) and their frequent hand offs due to very dense short-footage small cells. This paper presents a framework to model and derive the coverage of small cells, the cell sojourn time, and the hand off rate in multi-tier small cell networks. The distribution of the small cells around a reference UE’s path is studied by taking into consideration the overlaps among the small cells. Two types of hand off rates are introduced to estimate the load managed by different cells, where inter-frequency hand off rate and intra-frequency hand off rate represent the fraction of hand offs managed by the first tier and the other tiers, respectively. Our analysis shows that ignoring the overlaps among the small cells affects the accuracy of the results significantly. The simulation results validate the accuracy of the analytical results and also show the impact of different parameters, such as the small cell density, the number of tiers and the size of the small cells on the small cell sojourn time, the macro cell sojourn time, and the hand off rate.
Highlights
Similar to the resource management [1], [2], the mobility management is important and essential in the cellular systems [3]
The Stochastic Geometry tool was used to establish a mobility framework to model and analyse the main mobility parameters such as the handoff rate and the cell sojourn time as well as the expected time that the UEs spend in the coverage of the small cells
The results showed that ignoring the overlaps can affect the accuracy of the cell sojourn time and handoff rate significantly
Summary
Similar to the resource management [1], [2], the mobility management is important and essential in the cellular systems [3]. The mobility management in these systems will be very challenging, and developing an accurate model to evaluate the system performance is essential Both the handoff rate and the cell sojourn time are used for network dimensioning and estimating the signalling overload, and for estimating the UEs’ speed [4]–[6]. In the dense multi-tier heterogeneous networks (HetNets), taking the overlaps among the small cells into account when modeling the high frequency small cells coverage is essential for accurate speed estimation, estimating the energy consumption in the small cell discovery, and estimating the required resources at the different cells.
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