With the fast growth of mobile edge computing (MEC), the deep neural network (DNN) has
gained more opportunities in application to various mobile services. Given the tremendous …

The escalating proliferation of user generated contents such as videos and images are
dominating the network traffic. The optimal strategy for mitigating backbone congestion and …

In this paper we study a data caching problem in edge-based content delivery network
(CDN) where a data item is shared between service requests. Instead of improving the hit …

Training on time-series data generated from mobile networks is a resource-intensive and
time-consuming task that encounters various training failures. To cope with this issue, we …

Multipath transport protocols have the ability to simultaneously utilize the different paths and
thus outperform single-path solutions in terms of achievable goodput, latency, or reliability …

Due to the wide geographical distribution or the existence of extensive road infrastructure,
ensuring that mobile operators provide adequate service along roads can be challenging …

The advent of 5G and beyond systems is expected to shape the automotive vertical, as
safety-critical vehicular applications rely on the network to meet their stringent Quality of …

In this paper we describe how a cellular network extracts information from users' mobility
patterns and applies that for automating and improving radio resource control (RRC). The …