Democratizing Cost-Effective Network Operations for Private Mobile Networking

Abstract

We observe two major revolutionary trends in network operations: democratization of cost-effective and flexible communication means for vertical players, such as public safety, by private mobile networking combined with edge computing, and automatic and autonomic network operations empowered by Artificial Intelligence (AI). Further innovations are required for making private networking readily available for vertical players who are reluctant to acquire expertise in complex network operations. We propose Edge Concierge, whose concept is to democratize cost-effective and flexible network operations using network layer AI at mobile edge computing (MEC) middle boxes. We evaluate our proposed system by taking public safety context of smart cities as an example use case.