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  Machine learning techniques for 6G wireless networks


   Wolfson School of Mechanical, Electrical and Manufacturing Engineering

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  Prof S Lambotharan, Dr G Zheng, Dr M Derakhshani  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Due to spectrum scarcity, efficient use of spectrum such as advanced resource allocation techniques and spatial diversity techniques including massive MIMO has attracted huge interests recently and formed an important part of 5G wireless network design. There are emerging interests in machine learning techniques for the design of wireless networks due to their ability to solve highly non-linear optimisation problems with low complexity.

This project will investigate several machine learning techniques such as deep learning, reinforcement learning, transfer learning and adversarial learning for the design of future generation wireless networks. This project falls within the disciplines of Signal Processing, Machine Learning, Wireless Communications.

Supervisors

Primary supervisor: Professor Sangarapillai Lambotharan

Secondary supervisor: Dr Gan Zheng and Dr Mahsa Derakhshani

Entry requirements for United Kingdom

BEng/BSc (second upper) and preferably an MSc degree.

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

Find out more about research degree funding

How to apply

All applications should be made online. Under programme name, select ‘Electronic and Electrical Engineering’. Please quote reference number: UF-SL-2022

Apply now


Computer Science (8)

Funding Notes

UK fee - £4,596 full-time degree per annum
International fee - £25,100 full-time degree per annum
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.

Where will I study?