Savings in location management costs leveraging user statistics

TL;DR

This paper analyzes how leveraging user statistics can reduce location management costs in mobile networks, introducing new algorithms for parameter estimation and discussing network design implications.

Contribution

It presents two novel algorithms for estimating Beta parameters using geographical data, improving location management cost savings analysis.

Findings

Significant cost savings are achievable with user statistics-based strategies.

The proposed algorithms enhance the accuracy of location update cost estimation.

Network parameters greatly influence the potential savings in location management.

Abstract

The growth in the number of users in mobile communications networks and the rise in the traffic generated by each user, are responsible for the increasing importance of Mobility Management. Within Mobility Management, the main objective of Location Management is to enable the roaming of the user in the coverage area. In this paper, we analyze the savings in Location Management costs obtained leveraging the users' statistics, in comparison with the classical strategy. In particular, we introduce two novel algorithms to obtain the Beta parameters (useful terms in the calculation of location update costs for different Location Management strategies), utilizing a geographical study of relative positions of the cells within the location areas. Eventually, we discuss the influence of the different network parameters on the total Location Management costs savings for both the radio interface and the fixed network part, providing useful guidelines for the optimum design of the networks.