J. Rodriguez

Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer

Network management tools are usually inherited from one generation to another. This was successful since these tools have been kept in check and updated regularly to fit new networking goals and...

Secure Virtual Mobile Small Cells: A Stepping Stone Towards 6G

As 5th Generation research reaches the twilight, the research community must go beyond 5G and look towards the 2030 connectivity landscape, namely 6G. In this context, this work takes a step...

Virtual Data in CMS Production

Initial applications of the GriPhyN Chimera Virtual Data System have been performed within the context of CMS Production of Monte Carlo Simulated Data. The GriPhyN Chimera system consists of four...

Constraint compiling into rules formalism constraint compiling into rules formalism for dynamic CSPs computing

In this paper we present a rule based formalism for filtering variables domains of constraints. This formalism is well adapted for solving dynamic CSP. We take diagnosis as an instance problem to...

Concept and Rationale for Stratospheric Balloon-Based Laser Debris Removal

Laser-based deorbiting has long been proposed as a promising technique for mitigating the growing population of orbital debris, particularly decimetre-scale objects -- large enough to cause...

Distributed neurocomputing on transputer systems

Capacity analysis for a railway node using microscopic cyclic timetabling

Performance Analysis of UAV-Aided THz-based 6G Networks: A Stochastic Geometry Approach

Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals

The Management of a Pan-European ATM Network - The X Interface

Evaluation of a neonatal prediction function for cardiovascular risk assessment