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UE STATISTICS TIME-SERIES (CQI) IN LTE NETWORKS
This dataset includes real-world Channel Quality Indicator (CQI) values from UEs connected to real commercial LTE networks in Greece. Channel Quality Indicator (CQI) is a metric... -
UE NETWORK TRAFFIC TIME-SERIES (APPLICATIONS, THROUGHPUT, LATENCY, CQI) IN...
This dataset includes real-world time-series statistics from network traffic on real commercial LTE networks in University of Thessaly (UTH), Greece. The purpose of this dataset... -
Temperature sensor data for locations in Smart-Santander testbed of Fed4FIRE+
This is a database dump with temperature sensor-values (called "phenomenons" in testbed API), collected during the Fed4FIRE+ project SECTOR (Algorithm to determine a cost-... -
Synergy Group DigitalWater2020
There is no description for this dataset
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SMART - Self-adaptive Machine Learning Approach for Real-time Tuning of IEEE...
Worldwide the demand for wireless access networks providing very high throughputs has been increasing exponentially, namely due to bandwidth-hungry applications such as high... -
Carouge smart city
An example of data for the visualisation on CKAN. -
SIMBED - Offline Real-World Wireless Networking Experimentation using ns-3
R&D in wireless networking typically depends on experimentation to make realistic evaluations, since simulation is inherently a simplification of the real-world. However,... -
SIMBED+ - Replicable Real Wireless Networking Experiments using ns-3
Wireless networking R&D depends on experimentation to make realistic evaluations of networking solutions, as simulation is inherently a simplification of the real-world.... -
Scanning X-band rainfall radar data for Machine Learning nowcast
The dataset presents a training set of rainfall files, used to develop a Long Short-Term Memory (LSTM) rainfall forecast. The format of input files is in NetCDF, packed as daily... -
Roadshow presentations Hungary 2023
Roadshow presentations held in Hungary the 26th of January -
Results of the MECinFire experiment in Fed4FIRE+ EU project
Multi-access Edge Computing (MEC) has been proposed as the means to drastically minimize the service access latency, by bringing computational resources and services closer to... -
Results of the DYNAMO experiment in the Fed4FIRE+ testbeds
The main objective of the DYNAMO Fed4FIRE+ experiment was to perform Network Function Virtualization (NFV) Management and Network Orchestration (MANO) of a cellular network on... -
Plenary meeting remote 2021
Meeting materias -
Plenary meeting Paris 2022
Materials from plenary meeting in Paris in 2022 -
Plenary meeting Leganes 2023
Meeting materials -
Performance of different GPU data access implementation strategies
This dataset contains results of experiments performed to benchmark the performance of different memory access implementation strategies for CUDA kernel execution in a multi-GPU... -
MOTIVE - tiMe-OpTimized contextual Information flow on unmanned VEhicles...
The experimentation data were collected during the 6th Fed4FIRE+ Open Call (https://www.fed4fire.eu/) using the mobile nodes of the w-iLab.t (link) testbed. During this Open... -
MeshDapp: Blockchain-enabled Payment System for Wireless Mesh Networks - Dataset
The MeshDapp dataset includes data from the MeshDapp project - Fed4Fire+ Open Call 9 winner: Data includes: Network Measurement from the CityLab - Antwerp testbed and IRIS (TCD)... -
MECPerf experimentation on Fed4FIRE+/NITOS
This dataset contains the outcome of the MECPerf experiment, funded within the 6th Fed4FIRE+ open call for experimenters. MECPerf is an open source tool to measure key... -
LoRa RSSI vs distance
The data set has been used in CityScan experiment within Fed4Fire+ continuous call. RSSI and packet loss between LoRa end device sending data packets and a set of stationary...