Creating and sharing knowledge for telecommunications

Project: 5G/SDN Intelligent Systems For LOw latencY V2X communications in cross-Domain mobility

Acronym: FLOYD
Main Objective:
Connected vehicles are set to become a pervasive reality in the next few years. Still, providing seamless connectivity and computing services to vehicles is a challenging task as it requires the coordinated action of numerous players and the integration of their respective technologies.
FLOYD aims at building such a technological stack for offering high-performance network/computation services to vehicular users. Through the collaboration between complementary R&D industrial and academic entities, it will develop, validate and exploit a set of componentes and technologies addressing multiple unanswered challenges regarding the integration between vehicular and network communications. The proposed solutions cover a significant part of the relevant functional domains, namely: V2X network slicing orchestration; proactive management strategies for uninterrupted connectivity to mobile/vehicular users; new physical and MAC technologies; edge, cloud and hybrid computing approaches; resource allocation strategies; seamless mobility between public and non-public networks. Finally, FLOYD aims to build an integrated demonstrator able to showcase the coordinated operation of all these components in a real-world use-case scenario.
These technological research and development lines are designed around two main driving forces: Artificial Intelligence and Platooning Applications. FLOYD will explore the potential of Artificial Intelligence in multiple technological domains, by identifying processes in mobility, autonomy or network operation that follow complex behaviors and thus require or have considerable potential to benefit from an intelligent learning approach. Underlying all the technological development, a down-to-earth, practical-utility use-case of vehicular platooning motivates the developed applications, testbed and demonstrator.
Reference: POCI-01-0247-FEDER-045912
Start Date: 02-01-2021
End Date: 30-06-2023
Team: Ana Cristina Costa Aguiar, Daniel Filipe da Rocha Teixeira, Marija Jocic, Pedro Osswald Claro, José Pedro Nogueira Rodrigues, Filipe Lemos Peixoto, Felipe Maia Galvão França, Luis Miguel Pinho de Almeida, Bruno Alexandre de Salabert Mauricio
Groups: Networked Systems – Po
Local Coordinator: Ana Cristina Costa Aguiar

Associated Publications
  • 4Papers in Conferences
  • A. Aguiar, A. Azevedo, B. Carrilho, POSTER: Multipath Transport for Video Streams in Heterogeneous Wireless Environments, IEEE International Conference on Network Protocols ICNP, Reykjiavik, Iceland, Vol., pp. -, October, 2023,
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  • M. Hussain, F. França, A. Aguiar, Context-Aware Reinforcement Learning for Supporting WiFi Connectivity for Connected Vehicles, IEEE Vehicular Networking Conference VNC, Istambul, Turkey, Vol., pp. -, April, 2023,
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  • D. Teixeira, R. Meireles, A. Aguiar, Wi-Fi Throughput Estimation for Vehicular Edge Offloading in Heterogeneous Wireless Environments, IFIP IFIP Wireless On-demand Network systems and Services Conference WONS, Madonna di Campiglio, Italy, January, 2023,
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  • M. Mattos, A. Rodrigues, R. Meireles, A. Aguiar, Geolocation-based Sector Selection for Vehicle-to-Infrastructure 802.11ad Communication, Mediterranean Communication and Computer Networking Conference IEEE MedComNet, Conference online, June, 2021,
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  • 4Thesis
  • Edge computing for VRU protection: empirical evaluation of 5G and 802.11 communication technologies, Faculdade de Engenharia da Universidade do Porto, MSc Student, Afonso José Guerra da Mota de Almeida Azevedo, Supervisor: A. Aguiar, set-2020 - set-2021
  • Edge computing in 5G networks: empirical evaluation of 5G and 802.11 communication technologies, Faculdade de Engenharia da Universidade do Porto, MSc Student, João Nuno Barbosa Meleiro das Neves, Supervisor: P. M. d´Orey, Co-supervisor: A. Aguiar, out-2019 - fev-2021
  • Mobile app for protecting cyclists and pedestrians in road traffic, Faculdade de Engenharia da Universidade do Porto, MSc Student, Luís Alvela Duarte Mendes, Supervisor: A. Aguiar, ago-2020 - set-2021
  • Multi-homed and edge computing based video analytics in automotive scenarios, Faculdade de Engenharia da Universidade do Porto, MSc Student, Bruno Alexandre de Salabert Mauricio, Supervisor: A. Aguiar, ago-2020 - set-2021