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Array Antenna Design Optimisation for 5G / 6G Mobile Communication Systems

Department of Electronic Engineering

About the Project

Large array antennas are of great interest for 5G / 6G mobile communication systems. However, when designing and optimising the performance of such systems it is computationally expensive to use a full wave electromagnetic model of all the antenna elements at once, even though a full model of a single element is relatively easy.

Consequently, simple models of each element are often used – models that may not contain enough information to give full confidence in the design / optimisation process. An optimisation process, e.g. evolutionary optimisation, may then find an optimum design that is a false optimum of the simplified model that is not present in a real design.

At York we have over 20 years of experience in evolutionary optimisation of antenna designs. This project will build on this work to consider how to develop large-scale models of array antennas that retain enough electromagnetic information to accurately model the interactions – but, while requiring sufficiently small computational resources that allow for strong optimisation techniques to be applied.

Entry requirements:
Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics, Music Technology or a closely related subject.

How to apply:
Applicants should apply via the University’s online application system at Please read the application guidance first so that you understand the various steps in the application process.

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the Electronic Engineering website View Website for details about funding opportunities at York.

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