Artificial Intelligence for Wireless Networks

Machine Learning techniques, Adaptive communication protocols

Wireless networks can be provided with intelligence techniques, i.e., Machine Learning, to not only collect data and serve them in the rough, but also to learn from the gathered data to improve the collection process and, at the same time, optimize the performance of the network.

Technologies for Wireless Access

Low-power wide area networkS (LPWAN), Wireless sensor networks (WSN), IoT in 5G, WiFi standards, Radiofrequency identification (RFID), Blockchain of Things (BCoT)

Solid experience, both theoretical and experimental in a wide range of wireless technologies (cellular, WiFi, WSN, LPWAN, RFID) acting as enablers of the Internet of Things (IoT). We mostly focus on low latency, communications reliability and reduction of energy consumption.

Network architectures and Data Visualization 

Cloud computing. Fog/Edge computing, Centralized vs. Distributed Network Management, Sentilo

Solid experience, both theoretical and experimental in a wide range of wireless technologies (cellular, WiFi, WSN, LPWAN, RFID) acting as enablers of the Internet of Things (IoT). We mostly focus on low latency, communications reliability and reduction of energy consumption.

Applications and Projects

Smart Cities, Smart Mobility, Industry 4.0, Smart Agriculture, eHealth, storage & tracking

Our designs can be applied in different use-cases that allow to deploy sensor networks in heterogeneous environments (Smart Cities, Industry 4.0 or eHealth, among others) in an agile way. Our field of application is very broad and allows the data collection in an easy way, providing valorisation to these data through the application of intelligence techniques.