In both data networks and telecommunication networks we are seeing a substantial growth in the number of policy engines and policy-enabled services and applications.
Over the last decade, the idea of coupling control and data in an "artifact-centric" approach emerged in the practice of business process design.
Conventional Doherty power amplifier (CDPA) theory is limited to single carrier operation, leading to non-generic structure.
Satellite payloads are becoming much more complex with the evolution towards multimedia applications.
This paper gives an overview on the state of the art of the different options to save energy in copper based broadband access nodes while maintaining performance and Quality of Service (QoS).
There is a recent interest in neural network (NN)-based communication algorithms which have shown to achieve (beyond) state-of-the-art performance for a variety of problems or lead to reduced imple
The European MUSE project, which aims to enable "MUlti Service and access Everywhere", studies architectures, technologies and business scenarios facilitating the deployment of new Broadband Access
An increasing number of applications rely on complex inference tasks that are based on machine learning (ML).
We present the novel idea of inference delivery networks (IDN), networks of computing nodes that coordinate to satisfy inference requests achieving the best trade-off between latency and accuracy.
In contrast to the predecessors, the fifth generation of mobile networks (5G) will particularly address communication in production systems by providing machine-type communication and matching requ
