Project description
Generative AI for overcoming 6G challenges
The advancement of the Internet of Things (IoT) as well as its growing adoption and the increased dependency on it have driven significant transformation and paradigm shifts, transitioning services and goods onto digital, interconnected devices and platforms. The fundamental dependency of IoT on the upcoming 6G networks has highlighted key challenges, like the difficulty of efficiently and dynamically managing vast, multidimensional resources to accommodate high demand and ensure reliability, which are expected to limit and harm this growth. Supported by the Marie Skłodowska-Curie Actions programme, the Multi-RM-6GIoT-GAI project will research and use generative AI along with a hypergraph-based framework to develop key solutions and innovations. It will also improve user experience, resource management, adaptability and fairness during operation.
Objective
The Internet of Things (IoT) has fundamentally changed our interaction with the physical world, bringing a paradigm shift that has transitioned physical objects into digital and interconnected devices. This digitalization revolution largely hinges on to take a significant leap forward with the deployment of emerging 6G networks. While 6G holds great promise, it also poses severe challenges, especially in dynamically managing its vast multi-dimension resources amid heightened demands for latency, rates, reliability etc. Traditional approaches, particularly those relying on Deep Reinforcement Learning (DRL), have obvious limitations in various and complex 6G IoT networks. In this context, we will explore Generative Artificial Intelligence (GAI) to solve these challenges. First, we will establish a hypergraph-based framework for multi-dimensional resource representation and modeling, targeting the optimization of service capabilities. Subsequently, we will use the Generative Diffusion Model (GDM) to streamline communication intent extraction, facilitating swift decision-making and improving the adaptability of the network. Finally, we will leverage GDM in crafting resilient incentive structures, aiming to ensure the fairness of resource distribution and enhance user experience in the 6G IoT environment. The project has three work packages (WPs): WP1 aims at designing measurements for multi-dimensional resources, WP2 investigates the utilization of GDM for adaptive resource management, and in WP3, we seek to use GDM to ensure fairness in resource sharing. By integrating GAI as a solution to the multifaceted challenges of 6G IoT, we seek to expand and redefine the capabilities and applications of 6G IoT in real-world contexts.
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.
- natural sciences computer and information sciences internet internet of things
- social sciences political sciences political transitions revolutions
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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)
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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
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-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.
100 44 Stockholm
Sweden
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.