MOTOR5G — MObility and Training fOR beyond 5G Ecosystems

Results in brief

MObility and Training fOR beyond 5G Ecosystems

MOTOR5G tackles the challenge of designing and implementing a future wireless network that meets global performance standards. The project focuses on enhancing spectrum usage, developing AI algorithms for network prediction, designing advanced antenna systems, and creating proof-of-concept implementations for various applications. As the demand for high-speed, reliable, and efficient wireless communication grows, developing advanced network technologies is crucial. The project aims to improve connectivity, support emerging multimedia applications, and ensure sustainable and energy-efficient solutions. These advancements are essential for smart cities, autonomous vehicles, industrial IoT, and other critical infrastructure, ultimately benefiting society by enhancing communication capabilities and supporting technological innovation. Spectrum Utilization: Develop blockchain and deep learning algorithms to enhance dynamic spectrum access, licensed shared access, and spectrum aggregation, creating new business models for mobile networks. AI for Network Optimization: Design AI algorithms for network prediction, QoE enhancement, and intelligent tools for network management and orchestration. Advanced Antenna Systems: Develop green antennas and antenna arrays using AI and metamaterials, and create 3D models for UAV-based communications. Proof-of-Concept Implementations: Demonstrate innovative techniques in localization, video transmission, UAV applications, and IoT systems through prototypes and real-world testing. The MOTOR5G project involved 15 early stage researchers (ESRs) who contributed to various aspects of the project. These ESRs received comprehensive training and support, enabling them to develop advanced technical skills and contribute significantly to the project's objectives.

Data: CORDIS, © European Union

Project objective

The main objective of the project MOTOR5G is to motivate and skill competitive young researchers through involvement and engagement in a variety of research activities enabling them to work on real-life technical issues, across multiple European countries and organizations, and providing a strong networking opportunity through participation as speakers in conference and workshop events and through engagement with industry and other stakeholders (e.g. standardization). We also want to provide them with communications skills, the ability to work in groups and an understanding of the integrity and ethics in research. The project focus is on embedding artificial intelligence into 5G communication systems for the smarter use of network-generated data, the automated enabling of network operators and service providers to adapt to changes in traffic patterns, security risks and user behavior and thus paving the way towards safe and reliable next-generation wireless ecosystems.The project considers aspects such as use of drone-based technology for enhanced multi-antenna and data forwarding techniques, use of artificial intelligence for novel adaptive digital beamforming techniques applied on realistic antenna arrays; communications in the millimetre-wave bands, blockchain-based approach to spectrum management and sharing, use of machine learning for enhanced quality of experience, and would in parallel focus on novel business models to sustain profitable operation of beyond 5G ecosystems.The research team would comprise young researches supervised by committed experts from the industry and academia to advance the state of the art in the above areas. Three demonstration scenarios have been planned: localization, drone-based communications, and combined 5G-based video production and video distribution network in a stadium.

Original text from CORDIS.

Participants

AARHUS UNIVERSITET · Aarhus CCoordinatorDenmark
ARISTOTELIO PANEPISTIMIO THESSALONIKIS · THESSALONIKIGreece
IQUADRAT INFORMATICA SL · BarcelonaSpain
MAGGIOLI S.P.A. · SANTARCANGELO DI ROMAGNAItaly
MYDEFENCE AS · NORRESUNDBYDenmark
ORGANISMOS TILEPIKOINONION TIS ELLADOS OTE AE · MAROUSSIGreece
SINGULARLOGIC PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS · CHOLARGOS, ATTIKISGreece
TECHNICAL UNIVERSITY OF SOFIA · SofiaBulgaria
UNIVERSITATEA NATIONALA DE STIINTASI TEHNOLOGIE POLITEHNICA BUCURESTI · BUCURESTIRomania
UNIVERSITY OF HUDDERSFIELD · HUDDERSFIELDUnited Kingdom

MOTOR5G · MObility and Training fOR beyond 5G Ecosystems

Results in brief

MObility and Training fOR beyond 5G Ecosystems

Project objective

Participants

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