Connected Intelligence

Organization profile

Organisation profile

Research in the area of communication theory in terms of reliability, latency, trust and semantics. Methodologies from communication theory, statistics and machine learning. Experimental work related to IoT and wireless systems.

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Abolfazl Amiri
- aba@es.aau.dk
- The Technical Faculty of IT and Design - PhD Fellow
- Department of Electronic Systems - PhD Fellow
- Connectivity - PhD Fellow
- Connected Intelligence
- Signal Processing for Communications
Person: VIP
20182020
Federico Chiariotti
- fchi@es.aau.dk
- The Technical Faculty of IT and Design - Postdoc
- Department of Electronic Systems - Postdoc
- Connectivity - Postdoc
- Connected Intelligence
Person: VIP
20192021
Elisabeth De Carvalho
- edc@es.aau.dk
- The Technical Faculty of IT and Design - Professor with Specific Responsibilities
- Department of Electronic Systems - Professor with Specific Responsibilities
- Connectivity - Professor with Specific Responsibilities
- Connected Intelligence
- Signal Processing for Communications
Person: VIP
20042021

1 Finished
1 Not started
2 Active

Irregular repetition ALOHA for massive IoT access with heterogeneous coverage requirements
Mayorga, I. L., Popovski, P. & Stefanovic, C.
21/01/2021 → 20/03/2022
Project: Research
PAINLESS: Energy-autonomous Portable Access points for INfrastructure-LESS networks
Javidsharifi, M., Kerekes, T., Nielsen, J. J., Popovski, P. & Donevski, I.
01/10/2018 → 30/09/2022
Project: Research
Statistical Framework and Machine Learning Methods for Ultra Reliable Communication
Kallehauge, T., Popovski, P., Espinosa, P. R. & Kalør, A. E.
Project: Research

3 Journal article
1 Other contribution

5G satellite networks for Internet of Things: Offloading and backhauling
Soret, B., Leyva-Mayorga, I., Cioni, S. & Popovski, P., 3 Feb 2021, (E-pub ahead of print) In: International Journal of Satellite Communications and Networking.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks
Nguyen, D. L., 18 Feb 2021
Research output: Other contribution › Research
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Venturini, F., Mason, F., Pase, F., Chiariotti, F., Testolin, A. & Zorzi, M., 2 Mar 2021, (E-pub ahead of print) In: IEEE Transactions on Cognitive Communications and Networking. 15 p.
Research output: Contribution to journal › Journal article › Research › peer-review

Sådan bruges 5G i produktionen - og sådan sikrer du dit IoT-system
Petar Popovski
16/03/2021
1 item of Media coverage
Press/Media: Press / Media