Project description
Overcoming ISAC design challenges using the Ziv-Zakai Bound
Integrated sensing and communication (ISAC) systems are increasingly implemented across various technologies and devices, becoming crucial to future infrastructure. These systems are designed to optimise overall performance and balance communication and sensing. Unfortunately, this methodology often overlooks the key risk of sporadic large sensing errors, which can have fatal results and lead to the system becoming unstable. With the support of the Marie Skłodowska-Curie Actions programme, the ZZB-MEETS-ISAC project will utilise the Ziv-Zakai Bound (ZZB) to enhance the guaranteed-asymptotic-sensing ISAC system design, thus avoiding significant sensing errors. It will extend the existing ZZB derivation framework to accommodate Multi-Input Multi-Output ISAC and further code-sign the technologies, to improve reliability and performance.
Objective
Although the state-of-the-art (SOTA) Integrated Sensing and Communication (ISAC) system design aims to optimize the overall performance by balancing sensing and communication, it inherently overlooks the risk of sporadic large sensing errors bringing fatal results and making the system unstable. To address this issue, this project introduces Ziv-Zakai Bound (ZZB) to empower the guaranteed-asymptotic-sensing ISAC system design. For the first time, this project incorporates the ZZB methodology into typical Multi-Input Multi-Output (MIMO) ISAC system equipped with beamformers and intelligent reflective surfaces (IRS), to thoroughly avoid large sensing errors by guaranteeing the sensing performance into the asymptotic region.
To achieve this goal, the existing ZZB derivation framework will be extended to accommodate a typical MIMO ISAC model. This extension will consider the parameter space with nuisance and the MIMO array beampatterns into the ZZB derivation for the first time. After deriving an analytical ZZB that accurately indicates the threshold of entering the asymptotic sensing region, beamformers in the MIMO ISAC system will be co-designed to ensure the sensing performance beyond the threshold by dynamically allocating beams for sensing side, while also meeting communication performance constraints.
Furthermore, in scenarios where the asymptotic sensing cannot be guaranteed solely through beamformers design, an ZZB-based IRS configuration method will be proposed. The IRS will be configured according to the threshold indicated by ZZB to guarantee asymptotic sensing first, and the remaining IRS resources will be allocated to communication side to enhance Channel State Information. Beyond the SOTA ISAC system design methodology, the proposed ISAC system design leverages the advantage of ZZB that accurately indicates the asymptotic sensing threshold, to thoroughly eliminate the risk of large sensing errors appearing in the ISAC system and enhance its robustness.
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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)
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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)
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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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(opens in new window) HORIZON-MSCA-2024-PF-01
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56126 Pisa
Italy
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