Managing Cellular Billing Plan Switchings

TL;DR

This paper addresses the problem of managing billing plan switches for consumers, providing a formal problem characterization, a solution algorithm, and analyzing cost sensitivity to traffic volume growth.

Contribution

It introduces a formal framework for billing plan switching management and offers an example with a polynomial approximation of costs based on traffic volume.

Findings

Cost prediction accuracy improves with traffic volume analysis

Polynomial approximation effectively models target index dependence

Sensitivity analysis guides optimal switching strategies

Abstract

Here we shall consider a very popular practical applied problem of managing mode switching (in this work we are considering managing billing plans). Out of the two parties (service provider and service consumer), participating in the processes modelled here, we shall consider only a consumer type of a problem. Herein we provide formal characterization of the problem as well as the elements necessary for its solution. We shall consider full predicted costs, originating when switching to a billing plan as a target index. The work contains an example that provides a detailed view of the application technology referring to the suggested problem solution algorithm. Using the example's data we have performed the analysis measuring the problem's sensitivity in relation to the growth of the traffic volume. Herein we provided a polynomial approximation of the target index value depending on the traffic volume.