Network traffic prediction aims at predicting the subsequent network traffic by using the
previous network traffic data. This can serve as a proactive approach for network …

In this paper, we discuss energy-efficiency improvements in core networks obtained as a
result of work carried out by the GreenTouch consortium over a five-year period. A number of …

From the perspective of telecommunications, next-generation networks or beyond 5G will
inevitably face the challenge of a growing number of users and devices. Such growth results …

We focus on the problem of selecting a smallest subset of IP routers for upgrading to SDN
switches to protect all single link failures in a given network, or the SDN candidate selection …

Nowadays, there is a fast-paced shift from legacy telecommunication systems to novel
Software Defined Network (SDN) architectures that can support on-the-fly network …

Network traffic data consists of Traffic Matrix (TM), which represents the volumes of traffic
between Origin and Destination (OD) pairs in the network. It is a key input parameter of …

Network traffic forecasting means estimating future network traffic from previous traffic
observations. Network traffic analysis has various applications in a wide range of fields, and …

How to accurately detect Key Performance Indicator (KPI) anomalies is a critical issue in
cellular network management. We present CellPAD, a unified performance anomaly …

Modern tactical operations have complex communication and computing requirements that
cannot be supported by today's mobile ad hoc networks. The emerging Software Defined …

The ability to generate network traffic predictions at short time scales is crucial for many
network management tasks such as traffic engineering, anomaly detection, and traffic matrix …