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  PhD Studentship Opportunity: Surface Electromagnetics


   Department of Electrical and Electronic Engineering

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  Dr Mohsen Khalily, Prof Rahim Tafazolli  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

There are still some open problems that need to be addressed with regards to RRS deployment in future communication networks e.g., lack of rapid beamforming approaches for mmWave spectrum. Principally, the direction of the reflected beam is determined by assigning a specific phase for each individual unit-cells (scatterers) on the RRS. This phase distribution, in exciting solutions, is calculated by solving optimisation problems which are based on iterative techniques and require long time to converge. Since in mobile communication, the real-time response of the system against the dynamic variations of the channel is of critical importance; therefore, the iterative optimisation techniques are not suitable to be employed to calculate the phase pattern. Moreover, their processing-time can vary case by case, which can further impact the robustness of the whole system. In addition, there are only a few theoretical studies which provide preliminary insights towards understanding propagation channels in the presence of RRS. However, these works cannot capture the complex propagation effects of real-world scenarios. Furthermore, RRS has not been fully evaluated in real wireless networks.

To address these research gaps, the following objectives have been set for this work: (O1): To pioneer the design method for novel reconfigurable mmWave LISs which can be crafted to control the EM characteristics of the reflected beam differently, including pointing angle, beamwidth, polarisation and shape of the beam (e.g., fan/pencil/multiple). (O2): To develop the phase control unit (O3): To Integrate the designed RRS with the phase control unit to test the fully integrated prototype. (O4): To conduct the mmWave channel measurement campaign in the presence of RRS and to develop the mmWave statistical channel model based on the collected data. (O5): To exploit the capability of the developed RRS prototype to control and manipulate the mmWave propagation channel. (O5): To implement the developed RRS in a real-world testbed mmWave wireless network and to evaluate the network performance gains of using such an intelligent entity.

The successful candidate has access to 5G and 6G testbeds at the Institute for Communication Systems at the University of Surrey.

Supervisors: Dr Mohsen Khalily and Professor Rahim Tafazolli

This project is for a January 2022 start.

Watch a related video: Reconfigurable reflecting surfaces for 5G/6G.

Entry requirements

Candidates should have a first-class honours degree or equivalent, or a good MSc Degree, in Computer Science, Electronic Engineering. Candidates must be confident in antenna engineering and EM modelling tools.

English language requirements: IELTS Academic 6.5 or above (or equivalent) with 6.0 in each individual category.

How to apply

Applications should be submitted via the Information and Communication Systems PhD programme page on the "Apply" tab.

Please clearly state the studentship title and supervisor on your application. Applications must include a research proposal, up-to-date CV, master’s and bachelor’s degree certificates and transcripts and a copy of your passport. Two references are required before an offer can be made.



Funding Notes

The Studentship will pay full tuition fees along with a stipend of £18,609 per annum for 4 years. Stipend will be increased by 3% each year. This is an EPSRC ICASE studentship in partnership with BT.