Objective
The advent of sixth-generation (6G) networks promises transformative advancements in communication capabilities through the integration of large array structures such as ELAA, RIS, D-MIMO, and cell-free MIMO. However, the shift towards near-field (NF) characteristics in these systems poses challenges for traditional far-field-based location and sensing methods, necessitating a new approach for dynamic sensing in 6G networks. This project, Near-field Enhanced Dynamic Sensing for 6G Networks (NEDS-6G), aims to develop innovative algorithms and methodologies to address these challenges and unlock the full potential of 6G technology.
The primary objective of NEDS-6G is to achieve subcentimeter-level positioning accuracy for static and dynamic objects within 6G networks. This project will focus on establishing realistic NF dynamic channel models, developing efficient sensing methods, and validating these techniques through experimental measurements. Three work packages will drive this research forward: (1) NF dynamic channel modeling with well-characterizing inherent NF properties in large array structures. (2) positioning and tracking static and dynamic targets by developing accurate yet efficient sensing methods making full use of the NF characteristics. and (3) experimental validation through real-world measurements to investigate their real-world performance and compare them with existing technologies.
By characterizing dynamic NF properties, leveraging advanced signal processing techniques, and possibly integrating AI-enabled methods, this project aims to push beyond the current state-of-the-art in dynamic sensing for 6G networks. The proposed methodologies seek to enhance resource allocation efficiency, improve localization accuracy, and boost overall system performance, paving the way for the next generation of wireless communication technologies.
Fields of science (EuroSciVoc)
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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
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-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.
412 96 Goteborg
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.