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Intelligent UAV communications in 6G


   Department of Electronic Engineering

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Recent advances in manufacturing Unmanned Aerial Vehicles (UAV) extended their durability and flight time. The researchers investigated the usage of UAVs in 5G as Users, relays and small cell base stations. Problems like positioning and coverage have been studied. With more ambitions KPIs 6G needs to address more challenging applications and scenarios which include more challenging missions with lower available information for UAVs as UEs or base stations. In this project we will use distributed and/or robust machine learning methods to address backhaul/fronthaul, access and backhaul integration, positioning and trajectory planning, and energy efficiency issues within UAV communication.

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 or a closely related subject.

How to apply:

Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. 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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