Communications Engineering

[School of Engineering PhD Scholarships] Pinching Antenna Systems: A New Paradigm for Green Mobile Networks

The University of Manchester

Not stated

Location
Manchester, United Kingdom
Funding
Competition Funded PhD Project (Students Worldwide)
Application deadline
Year-round applications

About the project

About the Project The ultimate-goal of wireless communications is to provide fibre-like, user-centric and low-cost connections to support ultra-high throughput, reliable, and energy efficient communications. In conventional architectures, wireless channels are fixed system parameters that cannot be adjusted with the line-of-sight (LoS) typically blocked. Recently, various flexible-antenna systems, such as reconfigurable intelligent surfaces, fluid-antenna systems, and movable antennas, have been developed to make wireless channels also reconfigurable system parameters. The aim of this project is to investigate the energy efficiency for a new type of flexible-antenna systems, termed pinching-antenna systems (PASS). The core concept of PASS is to activate pinching antennas by applying small dielectric particles, e.g., plastic pinches, onto a dielectric waveguide. A prototype demonstrated that strong LoS communication links can be established by this simple, low-cost pinching mechanism. With a stepper motor, a pinching antenna can be dynamically deployed near the receiver to establish the strong LoS link, achieving ultra-high spectral and energy efficiency. This architecture creates a new paradigm for future mobile networks, especially for green communications as PASS can create strong LoS link. This project involves the development of a complete power consumption model, establish a theoretical optimisation framework, devise efficient optimisation algorithms, and investigate the application of PASS with other technologies. It is primarily theoretical and computer simulation based. Given the complexity and dynamic nature of these challenges, machine learning (ML)-based solutions will be explored to enable adaptive and scalable optimisation, in addition to conventional mathematical optimisation methods. This project is expected to start in September 2027. Before you apply: We strongly recommend that you contact the supervisors for this project before you apply. How to apply: To be considered for this project you must complete a formal application through our online application portal. If you already have an applicant account this link will directly open an application for PhD School of Engineering Scholarships . If you don’t already have an applicant account, please follow the instructions here . When applying, please specify the full title and supervisor/s of the project, details of your previous study, and names and contact details of two referees. You must also upload a Supporting Statement describing the motivation to apply to the project, your CV and transcripts of awarded and in-progress university qualifications . Please note late or incomplete applications will not be considered. Equality, diversity and inclusion are fundamental to the success of The University of Manchester and central to all our activities. A diverse research community strengthens creativity, productivity and quality, while increasing the societal and economic impact of our work. We welcome applicants from all career paths, backgrounds and sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation or transgender status. We welcome applications from candidates returning to study after a career break or experience in other roles. Flexible study arrangements may be available, including part-time study at 50%, 60% or 80%, subject to the requirements of the project and funder. Eligibility : The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in Electrical, Electronic, or Communications Engineering (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in Electrical, Electronic, or Communications Engineering (or international equivalent), with Master's degree preferable. Previous research experience in wireless communication, optimisation techniques, pinching antenna is desirable. This project will remain open until filled. If your application is submitted by 1 st November 2026, you can expect a decision by 18 th December 2026. If your application is submitted by 15 th January 2027, you can expect a decision by 30 th March 2027. Self or externally funded students can also be considered for this project. FSESoE

Research areas

Communications EngineeringInternet Of ThingsMachine LearningEngineeringNetworks