This paper uses big data technologies to study base stations' behaviors and activities and
their predictability in mobile cellular networks. With new technologies quickly appearing …

The increasingly growing data traffic has posed great challenges for mobile operators to
increase their data processing capacity, which incurs a significant energy consumption and …

The European Telecommunications Standards Institute management and orchestration
framework is designed to enable automated management of the network services and their …

The surging traffic volumes and dynamic user mobility patterns pose great challenges for
cellular network operators to reduce operational costs and ensure service quality. Cloud …

Data center in the fifth generation (5G) network will serve as a facilitator to move the wireless
communication industry from a proprietary hardware based approach to a more software …

Call Detail Records (CDRs) have been widely used in the last decades for studying different
aspects of human mobility. The accuracy of CDRs strongly depends on the user-network …

In the edge cloud network, service providers place virtual network functions (VNFs) in edge
clouds to serve users' requests. Thus, it is essential to consider VNF placement and request …

The accurate estimation of future traffic loads is a key enabler for anticipatory mobile
networking. In this paper, we investigate the prediction of the traffic generated by different …

Abstract Given an existing Mobile Edge Cloud (MEC) network including virtualization
facilities of limited capacity, and a set of mobile Access Points (AP) whose data traffic …

The surging data traffic and dynamic user mobility in 5G networks have posed significant
demands for mobile operators to increase data processing capacity and ensure user …