Fairness-Aware Caching and Radio Resource Allocation for the Downlink of Multi-Cell OFDMA Systems

TL;DR

This paper introduces fairness-aware and delay-minimizing resource allocation algorithms for multi-cell OFDMA systems, optimizing cache placement and radio resources to improve user experience and network performance.

Contribution

It presents novel iterative algorithms for joint cache placement and radio resource allocation that ensure convergence to near-optimal solutions in multi-cell OFDMA networks.

Findings

The algorithms effectively reduce total network delay.

The fairness-aware scheme minimizes maximum download delays.

Convergence to near-optimal solutions is proven.

Abstract

The unprecedented growth of internet contents, specially social media, invoking a challenge to the load of cellular networks. In addition, nowadays, the demands of quality of experience (QoE) became a more practical norm in contrast of quality of service (QoS), in which downloading delay is an important factor of it. To satisfy this demand, we propose two resource allocation (RA) algorithms to optimize the place of social media in the cache of the Base stations (BSs) and radio resources (i.e., transmit powers and subcarriers), jointly in a multi-cell Orthogonal Frequency Division Multiple Access (OFDMA) based system. In the first scheme, the total downloading delay of the network is minimized, while in the second scheme, a fairness-aware scheme is proposed in which the maximum downloading delays is minimized. We propose iterative algorithms to solve each problem, where the content placement problem and the joint subcarrier and transmit power allocation problem will be iteratively optimized. We also prove that the proposed approaches converges to a near-optimal solution, as well as the number of iterations increases.