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  Optimising end to end delay in 5G and Beyond networks


   Electronic and Electrical Engineering

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

End to end delay is an important aspect in communication networks considering diverse applications ranging from healthcare to gaming. End to end delay is due to propagation, transmission, queuing and processing delays at various nodes involved in the communication system. Delays occurring at Core, backhaul and front haul contribute towards the overall delay. This project will look into producing a realistic system level model for future communication systems and optimise latency aspects using AI technologies. Applicants with research interests in wireless communication are welcome to apply for this self-funded project. Some past experience on communication systems would be useful. (optional).


Computer Science (8) Engineering (12)

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