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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
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