Context-Aware Resource Allocation in Cellular Networks

TL;DR

This paper proposes a flexible, context-aware resource allocation architecture for cellular networks that integrates content, time, and location factors to optimize performance and adapt to user needs.

Contribution

It introduces a novel, practical architecture combining content, time, and location awareness for resource allocation in next-generation cellular networks.

Findings

Content-aware prioritization improves real-time application performance.

Traffic-dependent pricing enables dynamic, time-aware resource management.

Experimental results demonstrate the feasibility of the proposed architecture.

Abstract

We define and propose a resource allocation architecture for cellular networks. The architecture combines content-aware, time-aware and location-aware resource allocation for next generation broadband wireless systems. The architecture ensures content-aware resource allocation by prioritizing real-time applications users over delay-tolerant applications users when allocating resources. It enables time-aware resource allocation via traffic-dependent pricing that varies during different hours of day (e.g. peak and off-peak traffic hours). Additionally, location-aware resource allocation is integrable in this architecture by including carrier aggregation of various frequency bands. The context-aware resource allocation is an optimal and flexible architecture that can be easily implemented in practical cellular networks. We highlight the advantages of the proposed network architecture with a discussion on the future research directions for context-aware resource allocation architecture. We also provide experimental results to illustrate a general proof of concept for this new architecture.