activity
20172021
most citedWhite Paper on Critical and Massive Machine Type Communication Towards 6G

164 citations · 198 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.NI2020164 cited

White Paper on Critical and Massive Machine Type Communication Towards 6G

Nurul Huda Mahmood, Stefan Böcker, Andrea Munari +28

The society as a whole, and many vertical sectors in particular, is becoming increasingly digitalized. Machine Type Communication (MTC), encompassing its massive and critical aspec…

cs.NI2020

Mandate-driven Networking Eco-system: A Paradigm Shift in End-to-End Communications

Ingrid Moerman, Djamal Zeghlache, Adnan Shahid +7

The wireless industry is driven by key stakeholders that follow a holistic approach of "one-system-fits-all" that leads to moving network functionality of meeting stringent E2E com…

cs.NI20192 cited

Report of the Third Global Experimentation for Future Internet (GEFI 2018) Workshop

Mark Berman, Timur Friedman, Abhimanyu Gosain +9

The third Global Experimentation for Future Internet (GEFI 2018) workshop was held October 25-26, 2018 in Tokyo, Japan, hosted by the University of Tokyo. A total of forty-four par…

cs.NI2018

Seamless roaming and guaranteed communication using a synchronized single-hop multi-gateway 802.15.4e TSCH network

Jetmir Haxhibeqiri, Abdulkadir Karaagac, Ingrid Moerman +1

Industrial wireless sensor networks (WSNs) are being used to improve the efficiency, productivity and safety of industrial processes. An open standard that is commonly used in such…

cs.NI2018

Transparent Recovery of Dynamic States on Constrained Nodes through Deep Packet Inspection

Girum Ketema Teklemariam, Floris Van den Abeele, Ingrid Moerman +1

Many IoT applications make extensive use of constrained devices which are characterized by unexpected failures. In addition, nodes could be put offline temporarily for maintenance…

cs.NI2017

End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications

Merima Kulin, Tarik Kazaz, Ingrid Moerman +1

This paper presents end-to-end learning from spectrum data - an umbrella term for new sophisticated wireless signal identification approaches in spectrum monitoring applications ba…