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About the Project
Most research in underwater acoustic communication deals with the physical layer, with primitive and inflexible multiple access, despite the medium access control layer playing a crucial role in providing efficient communication. The underwater propagation environment is complex and characterised by highly variable spatial and temporal conditions due to extensive multi-path phenomena, space variability (e.g. shadow zones), fast time-variability of the channel and high Doppler spread. This PhD will explore the potential for MAC layer adaptation based on machine learning. Simulation based modelling and performance evaluation will be undertaken, backed up by mathematical analysis, for typical scenarios. Distributed protocols will be designed which can adapt the use of resources in frequency and/or time, to avoid interference and in response to varying link availability.
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 School of Physics, Engineering and Technology website View Website for details about funding opportunities at York.
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