Exit Menu

Autonomous AI-driven cell-free 5G network architecture for highly dynamic and ultra-dense connectivity

The purpose of this research is to develop a mobile network that does not have fixed cellular boundaries. In conventional cellular networks, each user equipment (UE) is connected to the access point (AP) in only one of the many cells (except during handover). At a given time instance, the APs have different numbers of active UEs, causing inter-cell interference. Cellular networks are suboptimal from a channel capacity viewpoint because higher spectral efficiency (SE) (bit/s/Hz/user) can potentially be achieved by co-processing each signal at multiple APs. 

In cell-free networks, there are many more geographically distributed APs that can use artificial intelligent techniques to self-organise themselves into Multiple Input Multiple Output (MIMO) groups to jointly serve a relatively smaller number of UEs. Cell-free Massive MIMO can potentially provide ten-fold improvements in Spectral Efficiency for the UEs over a corresponding cellular network with small cells.

The cabling and internal communication between APs is also a challenging issue in practical cell-free Massive MIMO deployments. A cost-efficient architecture is one that self-organise APs as both access points as well as nodes in a front haul network that reduces the requirement for cabling between Aps.

The majority of the project will be carried out using MATLAB, crafting different sections of code to explore different algorithmic options and the Python to incorporate solution on 5G Multiaccess Edge Computing cloud.

Studentships may be available depending on availability and research performance. Please enquire with Prof. John Cosmas for more details. 

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

  1. 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.
  2. 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.
  3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

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) for this Studentship


John Cosmas - 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.

Maysam Abbod - Education - Dr Maysam F. Abbod (MIET, CEng, SMIEEE, SFHEA) He received BSc degree in Electrical Engineering fromUniversity of Technology in 1987. PhD in Control Engineering fromUniversity ofSheffield in 1992. From 1993 to 2006 he was with the Department of Automatic Control and Systems Engineering at theUniversity of Sheffield as a research associate and senior research fellow

Nila Nilavalan - Dr. R. Nilavalan obtained the B.Sc. Eng. in Electrical & Electronic Engineering (First Class) from University of Peradeniya, SriLanka in 1995 and his PhD in Near-field microwave imaging from University of Bristol, UK in 2001. From 1999 to 2005 he was a researcher at Centre for Communications Research (CCR), Bristol University working in the field of Radio Frequency Engineering.  He was member of the European commission, Network of Excellence on Antennas from 2002 - 2005. He joined Brunel University London in September 2005 as a lecturer in wireless communications. Professional Memberships and Services
  • Senior member of the IEEE
  • Member of the IET
  • Fellow of the Higher Education Academy

Related Research Group(s)

Digital Economy

Digital Economy - Focusing on international digital economy research capability in areas including cyber security, trust, identity and privacy challenges, and big data analytics.

Intelligent Digital Economy and Society

Intelligent Digital Economy and Society - Research into intelligent digital economy and society using AI, data analytics, 6G, media, human-machine interaction, digital games, augmented and virtual reality, digital twins, IoTs, cyber security, data & information fusion.