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Performance Optimisation of Metasurface-Assisted Secure Integrated Sensing and Communication Systems

Project description

RIS-assisted collaborative sensing mechanism for improved UAV detection

Reconfigurable Intelligent Surface (RIS)-assisted Integrated Sensing and Communication (ISAC) is emerging as a key technology for future wireless networks, especially in managing UAVs. ISAC transmitters can detect unauthorised UAVs using echo signals and boost secrecy rates through channel awareness. Supported by the Marie Skłodowska-Curie Actions programme, the PORASIS project aims to enhance the performance of RIS-assisted secure ISAC systems. It will develop a collaborative sensing mechanism to tackle asynchronous reception, improve detection of unauthorised targets, and enable accurate channel prediction. The project will also create advanced algorithms to optimise resource allocation, RIS phase shifts, artificial noise, and UAV trajectories – ultimately maximising secure data transmission in next-generation wireless systems.

Objective

Reconfigurable Intelligent Surface (RIS)-assisted integrated sensing and communication (ISAC) is emerging as a key technology for future wireless systems, particularly in monitoring and managing network-connected unmanned aerial vehicles (UAVs) with line-of-sight (LOS) links. ISAC transmitters can use echo signals to detect the angle of arrival of unauthorized UAVs and leverage channel information to enhance secrecy rates.

Motivated by these unique capabilities, we aim to optimize the performance of RIS-assisted secure ISAC systems. Our objectives are: 1) to develop a RIS-based collaborative sensing mechanism to mitigate asynchronous reception effects and improve sensing performance; 2) to design methods for unauthorized target detection and sensing and communication (SAC) channel parameter prediction based on perceived information; 3) to create algorithms for joint optimization of resource allocation, RIS phase shifts, artificial noise (AN), and UAV trajectories to maximize the secure transmission rate of ISAC systems.

Achieving these objectives will provide immense benefits to the wireless industry and sectors advancing 5G/6G technologies. The Fellow anticipates that the project outcomes will reduce network deployment costs for mobile network operators by 30%, while enabling high-quality mobile data services for citizens, boosting the digital economy, and creating new jobs.

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Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

THE UNIVERSITY OF SHEFFIELD
Net EU contribution
€ 345 234,90
Address
FIRTH COURT WESTERN BANK
S10 2TN SHEFFIELD
United Kingdom
Region
Yorkshire and the Humber South Yorkshire Sheffield
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Partners (1)