Publications

The swath radar altimeter concept has been revisited - in the framework of an ESA study - with the objective of defining an optimal functioning point with respect to mission performance while keepi

When considering the purchase of telecommunications equipment or services, businesses are increasingly interested in so-called "intelligent" networks because of the advantages they provide.

Data Analytics can be seen as a powerful tool for the fifth generation (5G) communication system, to enable the transformation of the envisioned challenging 5G features into a reality.

We implement the optical fiber communication system as an end-to-end deep neural network, which includes the complete chain of transmitter, receiver and channel.

In this paper, we model and analyze the end-to-end energy consumption of a 100-Gbps coherent long-haul transmission system.

An integrated multiservice network demonstrator, including two home networks, two PON systems and one double-ring metro network is reported.

End-to-end learning is a promising technology for future communication systems, but its benefits have not yet been quantified over realistic wireless channel models.

The idea of end-to-end learning of communications systems through neural network (NN)-based autoencoders has the shortcoming that it requires a differentiable channel model.

The following viewgraphs will be presented as a part of the talk, 'End-to-End Network Reliability', to the ORSA/TIMS Joint National Meeting in New York City on October 16.

Mobile Edge Computing (MEC) is a key feature in future 5G mobile networks. It enables, low latency services, by bringing them closer towards the users.