Abstract:
Mobile Edge Computing (MEC) is a burgeoning paradigm that pushes data and services away from remote clouds to distributed Base Stations (BSs) equipped with MEC servers, w...Show MoreMetadata
Abstract:
Mobile Edge Computing (MEC) is a burgeoning paradigm that pushes data and services away from remote clouds to distributed Base Stations (BSs) equipped with MEC servers, which are deployed by Service Providers (SPs) at the edge of cellular networks. Normally, a SP prefers to use its own BSs, instead of those deployed by other SPs, to provide data and storage services. This can not only improve the quality of user experience but also increase its own revenue. In a densely deployed MEC network where a User Equipment (UE) tends to be covered by multiple BSs from varied SPs, how to allocate the resources in the BSs to provide the best service is a challenging problem. In this paper, we propose a novel resource allocation scheme, Decentralized Multi-SP Resource Allocation (DMRA), for densely-deployed MEC networks in order to maximize the total profit of all SPs and provide high-quality services. Our experimental results indicate that the proposed scheme outperforms the existing resource allocation algorithms for MEC.
Date of Conference: 07-10 July 2019
Date Added to IEEE Xplore: 31 October 2019
ISBN Information: