Network Intelligence for Multipath Support in 5G/6G Networks

You will have the opportunity to work on efficient application of artificial intelligence and machine learning in support of traffic steering, switching and splitting for multipath delivery of Internet services in 5G/6G networks.

• Qualification Type: PhD
• Hours: Full Time Title of project: Network Intelligence for Multipath Support in 5G/6G Networks

Applications are invited for a PhD studentship in the Department of Engineering. The successful candidate will have the opportunity to work on efficient application of artificial intelligence and machine learning in support of traffic steering, switching and splitting for multipath delivery of Internet services in 5G/6G networks.

This PhD project will be done in collaboration with Deutsche Telekom Research. This will enable the PhD candidate to work alongside world-class researchers and developers with extensive experience of developing novel networking solutions.

The work in this PhD project will involve analytical research, critical review, algorithm development, software implementation and testing.

Artificial intelligence (AI) and machine learning techniques have great potential to tackle the challenges of modern wireless telecommunication systems (5G and 6G). AI methods can be explored for the design and optimization of 5G/6G network architecture in a cost-efficient manner.

By learning the complex network topology and varying traffic patterns, AI could control network complexity for the design of cheaper and more efficient networking solutions.

The successful candidate will be given an opportunity to develop their research skills, as well as to develop to a very high level their programming, algorithm development and network system testing skills.

The successful candidate will be encouraged to publish results of their research at leading international conferences and in top-tier journals. They will be encouraged to communicate directly with potential or actual industrial partners.

The candidate should ideally have either an MSc or an MEng degree (or equivalent, or higher) in Electrical/Electronic Engineering or Computer Science. Candidates with BEng/BSc degrees with a strong interest in machine learning and artificial intelligence are encouraged to apply.

Some experience with Linux programming and knowledge of machine learning will be considered as an advantage.

This studentship is available for UK (home) candidates only.