Graph Neural Networking Challenge 2020 - Steredeg's solution
RESEARCH PAPER / Dec 2020 / 5G, Machine learning/ Deep learning /Artificial Intelligence, Network and Communications
This document describes the winning solution to the GNN Challenge 2020 organized by the Barcelona Neural Networking Center for the ITU Artificial Intelligence/Machine Learning in 5G Challenge. We first describe our methodology, then give the set of hyper-parameters that allowed us to achieve the best score with an average relative...
A Supplemental Zero-Energy Downlink Air-Interface Enabling 40-Year Battery Life in IoT Devices
RESEARCH PAPER / Dec 2020 / 5G, Computing and Optimization, Network and Communications
DiagSys: a dataset collection framework for root cause analysis from end-devices
RESEARCH PAPER / Dec 2020 / Network and Communications, 5G, Wireless communication, Computing and Optimization
For Internet operators, on-line service providers and end-users, representative operational measurements are crucial to monitor and diagnose the performance of networks and on-line services. While numerous approaches have been proposed to measure performance, only a few works fully adopt an end-user perspective by taking measurements from within web browsers. In...
Requirements for Deploying IP and ICN Network Stacks On a Common Physical Infrastructure
RESEARCH PAPER / Nov 2020 / Network and Communications
A Machine Learning-Based Task Assignment Framework for Cooperative Mobile Edge Computing
RESEARCH PAPER / Nov 2020 / 5G, Wireless communication, Network and Communications, Computing and Optimization
This paper investigates the task management for cooperative mobile edge computing (MEC), where a set of geographically distributed heterogeneous edge nodes not only cooperate with remote cloud data centers but also help each other to jointly process tasks and support real-time IoT applications at the edge of the network. Especially,...
Quality of Service Optimization in Mobile Edge Computing Networks via Deep Reinforcement Learning
RESEARCH PAPER / Sep 2020 / Wireless communication, Network and Communications, Computing and Optimization
Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close proximity to mobile users with low latency. In this paper, we propose an online double deep Q networks (DDQN) based learning scheme for task assignment in dynamic MEC...
Integrated Lens Antennas
RESEARCH PAPER / Sep 2017 / Optics, Network and Communications
This chapter presents the Integrated Lens Antenna (ILA) technology as it evolved since its introduction aiming to respond to the needs of emerging applications such as high-data-rate communication, intelligent transport, and mm-wave imaging. The topics covered include the ILA design concepts as well as the electromagnetic phenomena intrinsic to dielectric...