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

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.
Comment: We found a problem in the time scale of two separated phases known as caching and delivery phases