Multi-Application Resource Allocation with Users Discrimination in Cellular Networks

TL;DR

This paper introduces a resource allocation model for cellular networks that considers multiple applications per user, prioritizing real-time applications and ensuring QoS through a utility proportional fairness policy.

Contribution

The paper proposes a novel two-stage rate allocation algorithm that accounts for user subscription, application usage, and application priority in cellular networks.

Findings

The algorithm effectively allocates resources while prioritizing real-time applications.

Simulation results demonstrate improved QoS and fairness among users.

The model adapts to varying application demands and user subscriptions.

Abstract

In this paper, we consider resource allocation optimization problem in cellular networks for different types of users running multiple applications simultaneously. In our proposed model, each user application is assigned a utility function that represents the application type running on the user equipment (UE). The network operators assign a subscription weight to each UE based on its subscription. Each UE assigns an application weight to each of its applications based on the instantaneous usage percentage of the application. Additionally, UEs with higher priority assign applications target rates to their applications. Our objective is to allocate the resources optimally among the UEs and their applications from a single evolved node B (eNodeB) based on a utility proportional fairness policy with priority to real-time application users. A minimum quality of service (QoS) is guaranteed to each UE application based on the UE subscription weight, the UE application weight and the UE application target rate. We propose a two-stage rate allocation algorithm to allocate the eNodeB resources among users and their applications. Finally, we present simulation results for the performance of our rate allocation algorithm.