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ORCID6GNet 2025: Paris, France
- 4th International Conference on 6G Networking, 6GNet 2025, Paris, France, December 17-19, 2025. IEEE 2025, ISBN 979-8-3315-5141-4
- Joel John, Marius Corici, Thomas Magedanz:
MAC Layer Shortcuts for Low-Latency Intra-RAN UE Communication. 1-9 - Ahmad Shokair, Ayoub Toubal, Karim Boutiba, Imad al-Samman, Youssef Nasser, Raymond Knopp, Geoffroy Lerosey:
Integration of RIS into O-RAN 5G Networks and Beamforming Optimization via UE Reporting. 10-15 - Slawomir Kuklinski, Robert Kolakowski
, Bartlomiej Mastej:
Implementation-Aware AI Management Framework for AI-Native Networks. 16-24 - Antoine Durant, Rafik Zayani:
End -to -End Learning for Hardware Impaired Downlink Cell -Free Massive MIMO. 25-32 - Luigi Iannone, Antoine Fressancourt:
Demo: SPOT - SRv6-Based Proof of Transit for Network Path Verification. 33-35 - Allen Abishek, Lluis Gifre Renom, Raul Muñoz, Abdul Rehman Qureshi, Adrian Asensio, Xavier Masip-Bruin, Ricard Vilalta:
Demo: At-Scale Deployment of Network Digital Twin on the Cloud for Network Configuration Validation. 36-38 - Mufaddal Enayath Hussain, Mario Patetta, Jonathan Rivalan:
Demo: Programmable Packet Scheduling on FPGA-Based Switches. 39-41 - Diogo E. J. Santos, Camila Fonseca, Vitor A. Cunha, João Paulo Barraca, Rui L. Aguiar:
Human Centric Private & Secure Onboarding for Network Applications in 6G. 42-49 - Amy Nymalm, Sabina Zaman, Eemeli Vähäpassi, Sonika Ujjwal, Zakaria Laaroussi:
TAXI: Threat Analysis on the Xn Interface. 50-58 - Lukang Ning, Manuel Bied, Alexey Vinel:
Demo: V2X Enabled Delivery - Towards an Integration with Robot, Aerial and Ground Vehicle. 59-61 - Oussema Abdelmoula, Naila Bouchemal, Sondes Kallel, Mérouane Debbah:
RL-Driven Adaptive Numerology for NR-V2X Sidelink: Toward 6G AI-Native Orchestration. 62-64 - Vincent Savaux, Steve Sawadogo, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu:
On the Noise Robustness of Affine Frequency Division Multiplexing: Analysis and Applications. 65-72 - Steve Sawadogo, Vincent Savaux, Luc Le Magoarou, Matthieu Crussière, Patrick Savelli:
Energy-Efficient Secure Cell-Free Massive MIMO Precoding with Power Constraints Per Access Point for Next Generations of Communications. 73-81 - Farshad Rostami Ghadi, Masoud Kaveh, Hanjiang Hong, Kai-Kit Wong, Riku Jäntti, Francisco Javier López-Martínez:
Performance Analysis of Fluid Reconfigurable Intelligent Surface Over Covert Communications. 82-86 - Ammar El Falou:
When the Base Station Flies: Rethinking Security for UAV-Based 6G Networks. 87-91 - Clément Legrand-Duchesne, Agathe Blaise, Pedro B. Velloso, Vania Conan:
5G-Attacks: A New Dataset From Realistic 5G-Core Attacks. 92-96 - Lucas Otávio Nascimento De Araújo, Abdelkader Outtagarts:
Real-Time Energy Consumption and Carbon Footprint Estimation of AI Agents in 6G. 97-99 - Kalle Koskinen, Jingyi Liao, Kalle Ruttik, Riku Jäntti:
Demo: Energy Neutral Backscatter Device Utilizing High Performance Commercial Components. 100-102 - Quoc Quang Ngo, Kalle Ruttik, Yongchao Dang, Riku Jäntti, José Costa-Requena:
Demo: Toward Multi-Connectivity 6G IoT - Practical IoT Device-to-Core Integration. 103-105 - Boxuan Xie, Jari Lietzén, Kalle Koskinen, Lauri Mela, Kalle Ruttik, Riku Jäntti:
MCU-Free Backscatter Communication with Light-Enabled Frequency Control for Ambient IoT. 106-110 - Ziyue Yang, Feng Liu, Yifei Jin, Konstantinos Vandikas:
Group Equivariant Convolutional Networks for Pathloss Estimation. 111-115 - Mohammed Ayoub Toubal, Panagiotis Tirchas, Youssef Nasser, George Karetsos, Julien de Rosny, Geoffroy Lerosey:
Deep Learning-Assisted Sub-6 GHz Environment Sensing via Reconfigurable Intelligent Surfaces. 116-120 - Harshit Chawla, Sheila Fallon, Enda Fallon:
Energy-Aware Job Profiling and Mediation for Cloud and 6G Orchestration. 121-125 - Robert Kolakowski, Thierry Lejkin, Victorien Romain:
Hybrid SDN-Based Data-Centric Mobile Core Network with Content-Based Routing. 126-130 - Fabrice Guillemin, Xiaofeng Huang, Sandrine Lataste:
5G Evolutions for a Smooth Migration to 6G: The Way Forward for the Core Network. 131-135 - Emmanuelle Bodji, Emmanuel Boutillon, Bruno Jahan, Christophe Jégo:
Quasi-Cyclic Gradient Learning: A Method to Improve Performance of 5G QC-LDPC Codes. 136-140
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