Electric Vehicles Point Location Optimisation via Vehicular Communications

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-SEID: 101086218
EC Contribution
€4,232
Consortium Size
17 orgs
Start Year
2023
Summary

Recent developments in the Electric Vehicles (EV) technologies have made great strides to offer new modes of smart green urban mobility, where EVs are used as the main transportation mode replacing the conventional diesel and petrol powered vehicles. EVs are expected to play a key role in achieving ambitious targets of lowering greenhouse emission in the transportation sector. Given the EV penetration rates and future forecasts, it is essential to develop technologies that tackle charging management of EVs considering a holistic view of charging supply/delivery management for EVs, communication of EVs to the smart grid infrastructure system using 5G and beyond systems, smart grids and big data analytics for EVs optimise smart mobility and enhance the quality of experience for EV users. EVOLVE aims to exploit the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to design, develop and test various technologies that consider the holistic view of EV charging taking into account the view of technical and business stakeholders. EVOLVE will pursue innovation for advancing the technologies in EV charging ecosystem by orchestrating and managing the underlying networking and computational resources, design innovative algorithms using Artificial Intelligence (AI) and Machine Learning ML), developing communication protocols, prediction and optimising load in smart grids, developing software systems and user interfaces (UIs). EVOLVE aims to transcend analytical models and simulation-based validation and aims to deliver five proof-of-concept (PoC) demonstrations. EVOLVE project will provide a platform to foster a close collaboration between academia and industry partners providing each with a unique experience to create new knowledge, share know-how and skills development.

Consortium (17)

Project Results (33)

Source: CORDIS, the EU research results database.

Publications (28)
Robust UAV-Integrated Active STAR-RIS RSMA Networks: Analysis With Deep Learning Techniques
IEEE Transactions on Vehicular Technology· 2025DOI
Chandan Kumar Singh, Deepak Kumar, Janne Lehtomäki, Zaheer Khan, Matti Latva-Aho, Prabhat K. Upadhyay
An Imperfect Monitoring Game-Theoretic Approach for Crowdsourcing Reliable Wireless Data
IEEE Open Journal of the Communications Society· 2024DOI
Zunera Javed, Zaheer Khan, Janne J. Lehtomäki, Hamed Ahmadi, Su P. Sone
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
IEEE Sensors Journal· 2024DOI
Samuel G. Leitch, Qasim Zeeshan Ahmed, Ben Van Herbruggen, Mathias Baert, Jaron Fontaine, Eli De Poorter, Adnan Shahid, Pavlos I. Lazaridis
Distributed Federated and Incremental Learning for Electric Vehicles Model Development in Kafka-ML
2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)· 2024DOI
Alejandro Carnero, Omer Waqar, Cristian Martín, Manuel Díaz
Federated Learning Meets Blockchain: A Kafka-ML Integration for reliable model training using data streams
2024 IEEE International Conference on Big Data (BigData)· 2024DOI
Antonio Jesús Chaves, Cristian Martín, Kwang Soon Kim, Adnan Shahid, Manuel Díaz
High-Throughput Adaptive Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning
IEEE Open Journal of the Communications Society· 2024DOI
Mostafa Naseri, Eli De Poorter, Ingrid Moerman, H. Vincent Poor, Adnan Shahid
Joint Optimization of Routing, Bandwidth, and Sub-Band Allocation in Energy-Efficient THz Nano-Networks
IEEE Open Journal of the Communications Society· 2024DOI
Mohammed A. Alshorbaji, Ahmed Q. Lawey, Syed Ali Raza Zaidi
Non-Terrestrial UAV Clients for Beyond 5G Networks: A Comprehensive Survey
Ad Hoc Networks· 2024DOI
Mohammed M.H. Qazzaz, Syed A.R. Zaidi, Desmond C. McLernon, Ali M. Hayajneh, Abdelaziz Salama, Sami A. Aldalahmeh
Online Learning and Continuous Model Upgrading with Data Streams Through the Kafka-Ml Framework
Future Generation Computer Systems· 2024DOI
Carnero, Alejandro; Martín, Cristian; Jeon, Gwanggil; Díaz, Manuel
Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X PC5 and DSRC
Future Internet· 2024DOI
Ihtisham Khalid; Vasilis Maglogiannis; Dries Naudts; Adnan Shahid; Ingrid Moerman
Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks
2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)· 2024DOI
Merkebu Girmay, Mohamed Seif, Vasilis Maglogiannis, Dries Naudts, Adnan Shahid, H. Vincent Poor, Ingrid Moerman
QoE-Based Assignment of EVs to Charging Stations in Metropolitan Environments
IEEE Transactions on Intelligent Vehicles· 2024DOI
Mohammad Aljaidi, Nauman Aslam, Omprakash Kaiwartya, Xiaomin Chen, Ali Safaa Sadiq, Sushil Kumar, Ayoub Alsarhan
Radio Resource Management for Intelligent Neutral Host (INH) in Multi-Operator Environments
IEEE Open Journal of the Communications Society· 2024DOI
Hojjat Navidan; Mostafa Naseri; Ingrid Moerman; Adnan Shahid
Reconfigurable Intelligent Surface (RIS)-Assisted Non-Terrestrial Network (NTN)-Based 6G Communications: A Contemporary Survey
Sensors· 2024DOI
Chika E. Worka, Faheem A. Khan, Qasim Zeeshan Ahmed, Pradorn Sureephong, Temitope Alade
Robust EV Scheduling in Charging Stations Under Uncertain Demands and Deadlines
IEEE Transactions on Intelligent Transportation Systems· 2024DOI
Su Pyae Sone, Janne J. Lehtomäki, Zaheer Khan, Kenta Umebayashi, Kwang Soon Kim
TinyML Empowered Transfer Learning on the Edge
IEEE Open Journal of the Communications Society· 2024DOI
Ali M. Hayajneh; Maryam Hafeez; Syed Ali Raza Zaidi; Des McLernon
Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition
2024 IEEE Vehicular Networking Conference (VNC)· 2024DOI
Hojjat Navidan, Merkebu Girmay, Mohamed Seif, H. Vincent Poor, Ingrid Moerman, Adnan Shahid
Decentralized Federated Learning on the Edge Over Wireless Mesh Networks
IEEE Access· 2023DOI
Abdelaziz Salama, Achilleas Stergioulis, Syed Ali Raza Zaidi, Des McLernon
Designing Future Wireless Networks (FWN)s With Net Zero (NZ) and Zero Touch (ZT) Perspective
IEEE Access· 2023DOI
Waqas Bin Abbas; Qasim Zeeshan Ahmed; Fahd Ahmed Khan; Naeem S. Mian; Pavlos I. Lazaridis; Pradorn Sureephong
Enabling Uncoordinated Dynamic Spectrum Sharing Between LTE and NR Networks
IEEE Transactions on Wireless Communications· 2023DOI
Merkebu Girmay; Vasilis Maglogiannis; Dries Naudts; Timo De Waele; Eli De Poorter; Adnan Shahid; H. Vincent Poor; Ingrid Moerman
Evaluation of Prophet for Wireless Time Series Forecasting
2023 31st Telecommunications Forum (TELFOR)· 2023DOI
May Myint Zu; Su Pyae Sone; Janne Lehtomäki; Zaheer Khan
Heuristic Antenna Selection and Precoding for a Massive MIMO System
IEEE Open Journal of the Communications Society· 2023DOI
Abbas, Waqas Bin; Khalid, Salman; Zeeshan Ahmed, Qasmin; Khalid, Farhan; T.Alade, Temitope; Sureephong, Pradron
Intelligent Spectrum Sharing Between LTE and Wi-Fi Networks using Muted MBSFN Subframes
2023 IEEE Wireless and Microwave Technology Conference (WAMICON)· 2023DOI
Girmay, Merkebu and Avila-Campos, Pablo and Maglogiannis, Vasilis and Naudts, Dries and Shahid, Adnan and Moerman, Ingrid
IoT Technology Recognition Using Deep Clustering
IEEE Internet of Things Journal· 2023DOI
Hyeongyun Kim, Adnan Shahid, Jaron Fontaine, Eli De Poorter, Ingrid Moerman, Haewoon Nam
Local Energy Market Design for Power- and Hydrogen-Based Microgrids Considering a Hybrid Uncertainty Controlling Approach
IEEE Transactions on Sustainable Energy· 2023DOI
Saatloo, Amin Mansour and Mehrabi, Abbas and Marzband, Mousa and Mirzaei, Mohammad Amin and Aslam, Nauman
Maintaining flexibility in smart grid consumption through deep learning and deep reinforcement learning
Energy and AI· 2023DOI
Gallego, Fernando; Martín, Cristian; Díaz, Manuel; Garrido, Daniel
Novel Fine-Tuned Attribute Weighted Naïve Bayes NLoS Classifier for UWB Positioning
IEEE Communications Letters· 2023DOI
Che, Fuhu and Ahmed, Qasim Zeeshan and Khan, Fahd Ahmed and Khan, Faheem A.
The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka-ML: A deep-learning performance comparative
Expert Systems· 2023DOI
Chaves, Antonio Jesús;Martín, Cristian; Díaz, Manuel
Deliverables (4)
Documents, reports
Websites, patent fillings, videos etc.
Other Results (1)
Periodic Reporting for period 1 - EVOLVE (Electric Vehicles Point Location Optimisation via Vehicular Communications)