Papers and journals
The paper proposes and implements a new architecture for CCAM Service Continuity in Cross-Border Corridors that combines a federation of Multi-access Edge Computing (MEC) concepts.
White Paper published by 5G for CAM Working Group of the 6G-IA on 6G implications for CAM
A Control Method with Reinforcement Learning for Urban Un-Signalized Intersection in Hybrid Traffic EnvironmentPublication date | 20 January 2022
This study proposes a coordinated control method with proximal policy optimization (PPO) in Vehicle-Road-Cloud Integration System (VRCIS), where this control problem is formulated as a reinforcement learning (RL) problem.
This article examines the remote driving application and network-level performance of remote driving on a recently deployed sub-6-GHz commercial 5G stand-alone (SA) mobile network
This article presents a review of how resource management solutions have dealt with optimizing millimeter wave radio and optical resources from an autonomic network management perspective.
This article presents a novel on-device Machine Learning (ML)-based fall detection system that analyzes data captured from a range of sensors integrated on an on-board unit (OBU) prototype.
This paper proposes a particle swarm optimisation with linearly decreasing weight (LDW-PSO) to tackle the signal intersection control problem, where a finite-interval model and an objective function are built to minimise spoilage time.
This article develops a new adversarial online learning algorithm with bandit feedback based on the adversarial multi-armed bandit theory, to enable scalable and low-complexity offloading decision making.
Authors: Gorka Velez, Josu Perez & Angel Martin - Published on: Multimedia Tools and Applications (2021)
A parametric quality model to evaluate the performance of tele-operated driving services over 5G networksPublication date | 24 July 2021
This article presents a parametric model to quantify the Key Quality Indicators which affect video-based Tele-operated Driving (ToD) over a mobile network.
This section collects the set of papers presented during the IEEE 5G Virtual Summit on Connected and Automated Mobility , which took place on 11 and 12 May 2021.
In the timeframe of this annual report the last set of 5G PPP projects have started. These projects cover vital areas such as 5G innovations for verticals with third party services (ICT-41), 5G core technologies innovation (ICT-42) and, Smart Connectivity beyond 5G (ICT-52).
Inter-PLMN Mobility Management Challenges for Supporting Cross-Border Connected and Automated Mobility (CAM)Over 5G NetworksPublication date | 28 May 2021
The work presented in this study attempts to analyse the requirements for cross-border CAM operation for the five main CAM use cases selected by3GPP, based on input from key European stakeholders (Network Operators, vendors, Automotive Manufacturers etc.).
A Collaborative Merging Strategy with Lane Changing in Multilane Freeway On-Ramp Area with V2X NetworkPublication date | 10 May 2021
Acknowledgments This research was derived from the Advanced Driving Use Case in the 5G-MOBIX project. The 5G-MOBIX project has received funding from the European Union’s Horizon 2020 program. The content only reflects the author’s views.
Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM ServicesPublication date | 26 March 2021
Dries Naudts, Vasilis Maglogiannis, Seilendria Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Marquez-Barja and Ingrid Moerman
David F. Ferraiolo, Joanna F. DeFranco, D. RIchard Kuhn, and Joshua D. Roberts, edited by Latif Ladid (University of Luxembourg)
Technical/scientific publication. Authors: Gorka Velez, Ángel Martín, Giancarlo Pastor and Edward Mutafungwa.
A Center-Rule-Based Neighborhood Search Algorithm for Roadside Units Deployment in Emergency ScenariosPublication date | 10 October 2020
Authors: Yanjun Shi, Lingling Lv, Hao Yu, Liangjie Yu and Zihui Zhang
This article provides a novel multiobjective optimization framework for vehicle-to-infrastructure (V2I) communications to improve upon the sum-rate and energy efficiency of uplink NOMA-enabled V2I communications.
Author: Aalto University I Published in: IEEE International Conference on Wireless and Mobile Computing, Networking, and Communications
This paper presents Chameleon, a novel solution for task offloading for visual-based assisted driving.
This paper presents a vehicular monitoring platform enabled by LPWAN-based technology, namely Long Range Wide Area Network (LoRaWAN).