Project description
Optimising reconfigurable intelligent surfaces to support 6G localisation and communication systems
Future simultaneous localisation and communication (SLAC) in 6G systems will support applications, such as digital twins, virtual reality and emerging internet of things networks that need low latency, high data rate and high localisation accuracy. Reconfigurable intelligent surfaces (RISs) are considered key enablers to support these wireless 6G systems. However, current RIS system models have not reached their full potential, particularly because they do not account for impairment factors. With the support of the Marie Skłodowska-Curie Actions programme, the SMALL-6G project aims to develop a RIS-aided SLAC system model with performance analysis on the effect of impairment factors. It will then devise a localisation pipeline with corresponding model-based algorithms, followed by a learning-based method to solve challenging localisation subtasks.
Objective
Radio localization is the process of estimating the state (position, orientation, and possibly velocity) of a user equipment with the assistance of one or several base stations within a wireless communication system. With the increased carrier frequency (such as mmWafve and THz band), angle and delay estimation can benefit from the large array size and wide bandwidth, and hence improve localization performance. The estimated position and orientation can, in return, assist communication to increase beamforming gain and reduce delay via proactive resource allocation. As a result, simultaneous localization and communication (SLAC) in the 6G systems will support new use cases that require low latency, high data rate, and high localization accuracy, such as digital twins, virtual reality, and tactile networks. To support SLAC systems, reconfigurable intelligent surface (RIS) is a key technique that can provide increased channel gain and coverage for communication, which can also act as a passive anchor to enable/enhance localization. However, the system models used in existing localization works are either too simple or too ideal. To fully exploit the potential of RIS-aided localization, the impairment factors need to be considered, including the near-field effect, multipath, anchor calibration error, and hardware impairments. In this project, we will first develop a RIS-aided SLAC system model with performance analysis on the effect of the impairment factors. Then, a localization pipeline will be formulated with corresponding model-based algorithms designed by treating the dominant factors as unknowns. Benchmarked by the model-based methods, the learning-based method will also be developed to solve the challenging localization subtasks. Finally, based on the improvement of new SLAC performance metrics with localization information, we will propose a structured model- and learning-based localization (SMALL) solution to support RIS-aided 6G systems.
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Keywords
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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
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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.
WC1E 6BT LONDON
United Kingdom
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