The SIGNET research team is mainly active on the SIGnal processing and NETworking research challenges, with a solid track record in the area of wireless networking at large, with emphasis on protocol design and performance evaluation for Energy Efficiency, Internet-of-Things, Wireless Sensor Networks, Mobile Networks, Underwater Communications, Wearable Devices and others.

github.com/signetlabdei

5G/6G Networks
Research on 5G cellular nets is ongoing to achieve unprecendently experienced bitrates, exploiting massive MIMO technology, machine learning for self-adapting
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Human Sensing
Example research results: Valentina Vadori, Enrico Grisan, Michele Rossi, “Biomedical Signal Compression with Time- and Subject-adaptive Dictionary for Wearable Devices,”
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Internet of Things
Networking Protocols & Signal Processing, Architectures, Body Sensor Networks. In the past decade we have been studying a broad range
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Microfluidics
Droplet-based microfluidics, molecular networking, droplet-based communication. Droplet microfluidics refers to manipulation and control of little amount of fluids flowing into
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Smart Cities
Data mining, distributed sensing, long-range & low-power communication. Our group has been developing sensing, data gathering and monitoring technologies for
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Smart Energy Grids
Communications, market models and control. Our focus is centered around the use of Distributed Energy Sources (DES) in electricity grids.
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Underwater Networks
Networking Protocols, experimentation, at-sea trials. We are involved in several research activities for underwater networking. There, our focus is centered
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