Joint radio resource allocation in fog radio access network for healthcare

Abstract

With the rapid development of healthcare, mobile cloud computing can improve medical efficiency by capturing and analyzing patient data. Fog computing, as an emerging paradigm to complement cloud computing, has significant advantages in local wireless signal processing, resource management and distributed storage capabilities to potentially meet future healthcare demands. However, performance is limited by the capacity of fronthaul links. In this paper, we propose a novel fog radio access network (F-RAN) model, where cooperation caching strategy and content transmission are jointly optimized. We formulate a mixed integer nonlinear programming problem in order to achieve an ultra-low delay for the proposed F-RAN. We also propose a novel matching algorithm based on the student project allocation (SPA) algorithm instead of the traditional optimization algorithm to solve the formulated problem. Numerical results reveal that the proposed joint optimization design can significantly improve the performance of the considered F-RAN.