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  mmWave-based future dense networks with UAV backhauling: channel characterization, performance optimization, and AI-driven enhancement (PHDCEPS2021004)


   Computing, Engineering & Physical Sciences

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  Dr Muhammad Z Shakir, Prof N Ramzan  No more applications being accepted  Competition Funded PhD Project (European/UK Students Only)

About the Project

The University of the West of Scotland (UWS) is seeking to attract a PhD candidate of outstanding ability and commitment to join its vibrant and growing programme of internationally excellent research. The successful applicant will receive an annual stipend (currently £15,609 per annum for three years) and payment of tuition fees (current value £4,500 per annum for 3 years).

Next-generation of the telecommunications era, driven by Internet of things (IoT) technology, will witness tens of billions of connected devices with a colourful spectrum of requirements, such as high data rates in video streaming applications and ultra-low latency and high reliability in vehicle-to-vehicle communications, e.g., during emergency scenarios. Therefore, classical trade-off-based remedies are no more sufficient and do not generally fill the gap between current and future networks. Our vision is to exploit the use of Artificial Intelligence (AI) to develop autonomous airborne networks where unmanned aerial vehicles can offer reliable and resilient wireless coverage and capacity meeting various stringent requirements.

This project will develop ground-breaking AI enabled autonomous 6G network where unmanned aerial vehicles (UAVs) can provide additional coverage and capacity to the terrestrial networks (e.g., backhaul for small cells) and improve the resilience when network is congested or broken and may not be available to offer guaranteed internet services. With the help of Artificial Intelligence, this project will design and develop UAV based network deployment models and intelligent UAV trajectory algorithms which could improve the universal access to the internet (UN Goal#9) and support the various internet use cases in future smart cities e.g., disaster management (UN Goal# 11&13). 

The studentship is open to UK citizens and EU applicants with pre-settled or settled status. Candidates should hold a first- or second-class honours or a master’s degree in computer science/computer engineering/electrical and electronic engineering or other relevant disciplines or have equivalent industry experiences. It is essential that the applicant has very good skills in computer programming (e.g., Python and C/C++) and good knowledge in wireless networks, artificial intelligence and machine learning, and mathematical modelling. Please quote the Project Reference number above when submitting your research proposal.

The studentship will commence by Fall 2021.

Informal enquiries can be sent to Dr. Muhammad Zeeshan Shakir (Email: [Email Address Removed]) but applications can only be accepted through the UWS online system (https://www.uws.ac.uk/study/research-degrees/admissions-application/). Submit your detailed resume with cover letter and a copy of relevant research publications in addition to the required documents mentioned in UWS guidance: https://www.uws.ac.uk/study/research-degrees/admissions-application/postgraduate-research-application-guide/


 About the Project