Sergio Barrachina

Ico_CTTC
Sergio Barrachina | CTTC

Services as Networks (SaS)

Phd , Researcher

Phone: +34 93 645 29 00

Sergio Barrachina-Muñoz (Barcelona, 1991) holds a PhD in Information and Communication Technologies (2021) by Universitat Pompeu Fabra (UPF), Barcelona, Spain. Previously, he received his BSc Degree in Telematics Engineering (2015) and MSc in Intelligent Interactive Systems (2016), also from UPF. Sergio joined the Wireless Networking Research Group as an intern in 2015, where he worked under the supervision of Dr. Boris Bellalta. He was also a recipient of a FI grant from the Generalitat de Catalunya. His thesis research focused on developing autonomous learning techniques for improving next-generation Wi-Fi networks through efficient spectrum access.

Sergio is currently working as a postdoctoral researcher in the Smartech department at Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) in the context of the 5GMed5GMediaHUB project, which aims to help EU to achieve the goal of becoming a world leader in 5G. Apart from research, Sergio has been involved in teaching undergraduate courses since 2015, with subjects mainly related to computer networks both in UPF and Universitat Oberta de Catalunya (UOC).

End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications
IEEE COMMUNICATIONS LETTERS. Vol 26. No. 10. pp. 1-1 January 2022.
Wilhelmi F., Barrachina-Munoz S., Dini P.
10.1109/LCOMM.2022.3194561 Google Scholar
Cloud-native 5G experimental platform with over-the-air transmissions and end-to-end monitoring
2022 13th International Symposium On Communication Systems, Networks And Digital Signal Processing, Csndsp 2022. pp. 692-697 January 2022.
Barrachina-Muñoz S., Payaró M., Mangues-Bafalluy J.
10.1109/CSNDSP54353.2022.9908028 Google Scholar
Wi-Fi Channel Bonding: An All-Channel System and Experimental Study From Urban Hotspots to a Sold-Out Stadium
IEEE-ACM TRANSACTIONS ON NETWORKING. Vol 29. No. 5. pp. 2101-2114 January 2021.
Barrachina-Munoz, S, Bellalta, B, Knightly, EW
10.1109/TNET.2021.3077770 Google Scholar
Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs
IFIP Wireless Days. Vol 2021-June. January 2021.
Barrachina-Munoz, S, Chiumento, A, Bellalta, B
10.1109/WD52248.2021.9508323 Google Scholar
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