Knowledge based Resource Management of 5G Radio Access Network using Artificial Intelligence
This research project will investigate how to learn from the behaviour of the radio channel in different parts of the network using big data from channel behaviour, experienced by existing user equipment to build an evolving database of behaviour changing with time. It will then use this big data of channel behaviour and artificial intelligence to predict the channel behaviour that would be experienced by new user terminals admitted to the network to set the Radio Access Network's (RAN) and user equipment's (UE) radio transmission parameters. A model of the radio environment will be built and used to interact with a Mobile Edge Cloud Virtual Network Function that will hold the big data database and the artificial intelligence algorithms to deduce decisions on how to parameterise the RAN and UE in the call admission control process. Comparisons of the performance of the proposed admission control system will be compared with more conventional approaches to ascertain performance gains obtained using big data and artificial intelligence.
Communication Network students with a strong aptitude to software programming and IP networking are suitable.
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
This is a self funded topic
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.
Meet the Supervisor(s)
- I joined Brunel University in 1999 and soon became the leader of the Multimedia and Networks group. I have a BEng in Electronic Engineering from Liverpool University (1978) and a PhD in Image Processing from Imperial College (1987). Prior to Brunel, I worked as an electronic engineer at Tube Investments (1978-81) and at Fairchild Camera and Instrument Corp. (1981-83), and as a lecturer at Queen Mary College, University of London (1986-99).
Over the years, I have been at the forefront of research in the areas of digital multimedia TV, 2D/3D digital media with 3D virtual and augmented reality, and 3D TV, as well as digital media delivery and transmission networks. My current 5G research adventure focusses on the internet of radio light and the integration of digital media in the radio-light internet of small family homes, multi-occupancy high rise homes, buildings with public access (museum demonstrator) and public places (train station and supermarket demonstrators). Our research approach interweaves the digital design with the architectural interior design of spaces and the electronic design of the light roses.
Future plans include research related to the interactive and tactile internet and the development of digital media for specific interactive, tele-driven applications.