A Learning Life-Cycle to Speed-up Autonomic Optical Transmission and Networking Adoption

Autonomic Optical Transmission and Networking requires from Machine Learning (ML) models to be trained with large datasets. However, the availability of enough real data to produce accurate ML models is rarely ensured since new optical equipment, techniques, etc., are continuously being deployed in the network. Although an option is to ...

Variations of Heart Rate, Pulse Arrival Time and Blood Pressure in a Versatile Laboratory Protocol

This paper investigates widely used provocations such as controlled breathing, mental arithmetic and Stroop tests, Valsalva maneuver, cold pressor and muscle tension and combines them in a versatile laboratory protocol. The protocol was tested in an experiment where pulse arrival time (PAT) and heart rate (HR) were measured with chest ...

On Minimizing Energy Consumption for D2D Clustered Caching Networks

We formulate and solve the energy minimization problem for a clustered device-to-device (D2D) network with cache-enabled mobile devices. Devices are distributed according to a Poisson cluster process (PCP) and are assumed to have a surplus memory which is exploited to proactively cache files from a library. Devices can retrieve the ...

Multi-level scheduling for network slicing

Network function virtualization (NFV) and cloud computing provide more flexibility and elasticity for mobile networks with the creation of network slicing. The slice orchestration and management allow multi-slices in the same cluster corresponding the various service demands. However, the single scheduling components could not be adapted the difference slice QoS ...

Information Dissemination in Vehicular Networks in an Urban Hyperfractal Topology

The goal of this paper is to increase our understanding of the fundamental performance limits of urban vehicle networks, by exploiting the self-similarity and hierarchical organization of modern cities. We use an innovative model called "hyperfractal" that captures the self-similarity of the topology and vehicle locations while avoiding the extremes ...

E2E Analytics Framework for 5G Architecture

Data Analytics can be seen as a powerful tool which can be used by 5G system, to enable the transformation of the envisioned challenging 5G features into a reality. In current 5G architecture, some first steps have been performed in this direction, by introducing new functions in core and management ...