Bandwidth Scheduling Scheme with AoI Guarantee for Heterogeneous Mobile Edge Caching

Abstract

AbstractIn recent years, the wide spread adoption of mobile applications exerts a great burden on backhaul links. Mobile edge computing (MEC) alleviates the problem by enabling mobile edge devices with cache storage to reduce network congestion and content delivery latency. In this paper, we study the problem of bandwidth minimization under Age of Information (AoI) constraint in mobile edge caching system with heterogeneous devices. We present a content refreshing mechanism, and propose an algorithm extended from the classical genetic algorithm to minimize average AoI. Specially, mobile users declare requests of the content service provision that are dynamically collected at base station (BS). Upon receiving these requests, the BS can decide how to allocate the bandwidth for updating the content, so that the average AoI in the network is minimized. Unlike existing work, this paper also takes into account the diverse QoS requirements of heterogeneous nodes in data transmission. Extensive simulations are conducted to validate the analytical results. Compared to other conventional algorithms, the results indicate that the proposed scheme can effectively reduce the average AoI.KeywordsAge of informationBandwidth schedulingGenetic algorithmHeterogeneous edge caching