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Loughborough University
Adaptive Reconfigurable Intelligent Metasurfaces for 5G/6G Networks PhD
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Adaptive Reconfigurable Intelligent Metasurfaces for 5G/6G Networks PhD
Loughborough University, Loughborough, United Kingdom
# 201-250QS Subject Rankings
36 monthsProgram duration
10 Feb, 2025Application Deadline
YesScholarships
Program overview
Main Subject
Engineering - Electrical and Electronic
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Reconfigurable Intelligent Surfaces (RIS) are being considered as...
Read more one of the key components for future 5G and 6G millimeter-wave networks. RIS can offer a bespoke control to manipulate an incident electromagnetic wave and is envisioned to offer multiple simultaneous applications for integrated sensing, localisation, and communication. Although a lot of work has been done in developing static and reconfigurable metasurfaces, RIS still faces several issues such as low bandwidth, out-of-band interference, energy efficiency, prone to damage, cost, and complexity.
This PhD project seeks to develop next-generation RIS with enhanced reliability, multifunctionality, and intelligent adaptability. Leveraging machine learning-based optimisation techniques, the research will contribute to creating smart radio environments tailored to the demands of future networks.
We are looking for candidates with a strong background in electromagnetics, RF design (ideally including metasurfaces, RIS, or antenna arrays), mathematics, electronic circuits, computer programming, and machine learning.
The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system-based simulations; hands-on experience with fabrication and measurements (operating vector network analyser, anechoic chamber, etc.); and implementing ML-algorithms on 2D-matrix problems.
Loughborough University has an extensive RF facility including an anechoic chamber, a semi-anechoic chamber for RIS measurements, network analysers, and material characterisation. The candidate will join a vibrant group of researchers and will receive the necessary training to undertake this research. Read less
Program overview
Main Subject
Engineering - Electrical and Electronic
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Reconfigurable Intelligent Surfaces (RIS) are being considered as...
Read more one of the key components for future 5G and 6G millimeter-wave networks. RIS can offer a bespoke control to manipulate an incident electromagnetic wave and is envisioned to offer multiple simultaneous applications for integrated sensing, localisation, and communication. Although a lot of work has been done in developing static and reconfigurable metasurfaces, RIS still faces several issues such as low bandwidth, out-of-band interference, energy efficiency, prone to damage, cost, and complexity.
This PhD project seeks to develop next-generation RIS with enhanced reliability, multifunctionality, and intelligent adaptability. Leveraging machine learning-based optimisation techniques, the research will contribute to creating smart radio environments tailored to the demands of future networks.
We are looking for candidates with a strong background in electromagnetics, RF design (ideally including metasurfaces, RIS, or antenna arrays), mathematics, electronic circuits, computer programming, and machine learning.
The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system-based simulations; hands-on experience with fabrication and measurements (operating vector network analyser, anechoic chamber, etc.); and implementing ML-algorithms on 2D-matrix problems.
Loughborough University has an extensive RF facility including an anechoic chamber, a semi-anechoic chamber for RIS measurements, network analysers, and material characterisation. The candidate will join a vibrant group of researchers and will receive the necessary training to undertake this research. Read less
Admission Requirements
Tuition Fee and Scholarships
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QS subject rankings
Subject: Engineering - Electrical and Electronic
Ranking criteria
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Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (5)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD