Generalised Mathematical Formulations for Non-Linear Optimized Scheduling

TL;DR

This paper introduces novel non-linear mathematical formulations to improve optimized scheduling in complex 5G network slicing scenarios, addressing dependencies and adaptive SLAs.

Contribution

It presents new non-linear models specifically designed for optimized scheduling in 5G network slicing, filling a gap in existing mathematical approaches.

Findings

New non-linear formulations for scheduling

Enhanced modeling of user and service dependencies

Foundation for future optimization techniques

Abstract

In practice, most of the optimization problems are non-linear requiring certain interactive solutions and approaches to model. In 5G Advanced and Beyond network slicing, mathematically modeling the users, type of service distributions and its adaptive SLAs are complex due to several dependencies. To facilitate the above, in this paper, we present novel Non-linear mathematical formulations and results that will form the base to achieve Optimized Scheduling.