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NANCY project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101096456. 

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the SNS JU. Neither the European Union nor the granting authority can be held responsible for them.

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NANCY at EUCNC 6G Summit Antwerp, Belgium 3-6 June 2024  

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The NANCY project is thrilled to participate in this year’s EUCNC & 6G Summit, held in Antwerp from June 3-6, 2024!  Our consortium partners  are eager to showcase a 5G Coverage Expansion Scenario  with Advanced Cyberattack Detection and an insightful presentation on the Performance of RIS-assisted Networks with HQAM.

NANCY Demonstrator @ Booth # 53

The demonstrator aims to showcase a prototype implementation of a 5G coverage expansion scenario that leverages an intermediate node equipped with 5G capabilities. Furthermore, an AI-enabled cyberattack detection mechanism is deployed on the intermediate node. The mechanism analyses the network traffic to detect and identify various cyberattacks. Finally, the capabilities of the cyberattack detection mechanism are augmented via eXplainable AI (XAI) algorithms.

For more information on the exhibition: https://www.eucnc.eu/patrons-exhibitors/call-for-exhibitors-demos/

NANCY Paper Presentation The Performance of RIS-assisted Networks with HQAM” @ ‘PHY – Physical Layer and Fundamentals’ Track

The paper entitled “On the Performance of RIS-assisted Networks with HQAM” investigates the application of hexagonal quadrature amplitude modulation (HQAM) in reconfigurable intelligent surface (RIS)-assisted networks, specifically focusing on its efficiency in reducing the number of required reflecting elements. Specifically, analytical expressions are derived for the average symbol error probability (ASEP) and a new conditioned energy efficiency metric is introduced for assessing the network’s energy consumption.

For more information on the program: https://www.eucnc.eu/programme/tracks/