Project description
An energy efficiency boost for 6G networks
Network sustainability is the key requirement for 6G communication systems, especially in the context of Internet of Things (IoT) networks. The increased demand for AI applications slows down the deployment of IoT devices due to the additional energy costs. With the support of the Marie Skłodowska-Curie Actions programme, the NEUTRINAI project will develop energy-efficient communication technologies and protocols for 6G communication systems. To achieve this, it will study the impact of AI and machine learning on networks considering energy costs of machine learning and communication, introduce new types of AI modules into IoT devices to optimise energy usage, and develop a communication framework for integrating generative AI modules. The results are expected to support the development of sustainable communication networks.
Objective
This project aims to design energy-efficient communication technology and protocol for the 6th generation (6G) Internet of Things (IoT) communication system, in which energy efficiency is one of the essential Key Performance Indicators (KPIs) to realize sustainable IoT networking. The energy-efficient protocol designs for IoT devices serving 6G applications are more challenging than conventional wireless sensor networks, as we need to consider the energy cost caused by the introduction of the Artificial Intelligence (AI)/ Machine learning (ML) model as well as that of the primary radio circuit. However, most related works do not consider the energy cost of introducing the ML model, which affects the overall energy efficiency of the communication protocols. In order to realize the reduction of the overall energy consumption of AI-empowered IoT devices, this project newly introduces generative AI modules and wake-up radio technology into IoT devices operating with batteries, by which IoT devices can suppress unnecessary data transmission, and communication is taken place in an energy-efficient manner by cooperatively transmitting signaling, informative data, and ML model from devices to devices. This project will design a new communication framework integrating generative AI modules, investigate the system-level performance of G-AI-based communication systems, and clarify the gain brought by the introduction of G-AI modules in terms of energy efficiency and accuracy.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications radio technology
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
9220 Aalborg
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.