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5G Management of Drones in Remote Areas

The purpose of this research project is to use elevation data and combine it into a metaheuristic AI algorithm, so as to generate the optimum location to house a transmitting BS in order to give a receiving location 5G coverage. This coverage will then permit the use of drones operating over a 5G cellular network to aid firefighting services in the tracking and fighting of fires in remote non-urban areas. The majority of the project will be carried out using MATLAB, crafting different sections of code to format a road map, combine it with an elevation map, and then display specific peak points and the Python to incorporate solution on 5G Multiaccess Edge Computing cloud.

The result from the project will be a list of ideal transmitter locations (based on the map’s x/y coordinates) to house an ad-hoc BS. As well as this, a map with colour-coordinated points will be displayed, allowing for a visual representation of the ideal BS locations and then the management of drone flight patterns on their missions.

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


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.

Konstantinos Banitsas - Dr. Konstantinos Banitsas has been a lecturer and researcher at the Department of Electronic and Computer Engineering, Brunel University London since end 2005. He holds a BSc (Hons) in Computer Science, University of Portsmouth (1995), an MSc in Electronic Engineering, University of Portsmouth (1997), an MA in Education from Brunel University London (2011) and a PhD in Telemedicine from Brunel University London (2004). He is an active member within the Wireless Networks and Communications Centre research laboratory headed by Prof. Cosmas, handling the Telemedicine and Telecare part of the research. He is the author of numerous journal and conference articles as well as book chapters in the general area of telemedicine.

Hongying Meng - Dr Hongying Meng is a Reader with Department of Electronic and Electrical Engineering, College of Engineering, Design and Physical Sciences, Brunel University London. Before that, he held research positions in several UK universities including University College London (UCL), University of YorkUniversity of Southampton, University of Lincoln, and University of Dundee. He received his Ph.D. degree in Communication and Electronic Systems from Xi’an Jiaotong University and was a lecturer in Electronic Engineering Department of Tsinghua University, Beijing in China. He is a Member of Engineering Professors’ Council, and a Fellow of The Higher Education Academy (HEA) in UK. He is a Senior Member of IEEE and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), and a general chair for 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020).

Lu Gan -
Dr. Lu Gan received her B. Eng and M. Eng. degrees from South East University, China and the Ph.D degree from Nanyang Technological University, Singapore in 1998, 2000 and 2004 respectively. She is currently a senior lecturer (equivalent to associate professor) in Brunel University, London. Before she joined Brunel University in 2008, she has been on the faculties with The University of Newcastle (2004-2006), Australia and University of Liverpool, UK (2006-2007). From 2003 to 2004, she was a research associate in Centre for Signal Processing, Nanyang Technological University. 
Dr. Gan’s research interests include fundamental signal processing theories and their applications in image/video coding and processing, non-destructive terahertz and ultrasound imaging, machine learning and wireless communications etc. Her research work has been funded by Australian research council, The Engineering and Physical Sciences Research Council (EPSRC) UK and TWI UK.  She is a member of IEEE and a regular reviewer for many top journals including IEEE Transactions on Information theory, IEEE Transactions on Signal Processing, IEEE transactions on Communications and IEEE transactions on image processing etc.  She has also been reviewing research grants in UK EPSRC and UK STFC and FWO in Belgium (equivalent to EPSRC in UK).  She has been on the technical committee member for conferences including Globecom and ICC. 
So far, she has more than 30 publications on journals with high impact factor and more than 60 conference publications. She has been working as Ph. D thesis/viva examiner for more than 20 candidates in UK and Australia. Her google scholar file can be found here.

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