Reflective Intelligent Surface (RIS)/Reflective Holographic Surface (RHS)/THz for 6G communications

Summary

This project explores the design and integration of Reflective Intelligent Surfaces (RIS), Reflective Holographic Surfaces (RHS), and Terahertz (THz) technologies to enable high-capacity, energy-efficient, and ultra-reliable wireless communication, addressing key challenges for 6G networks. It offers opportunities to advance next-generation communication paradigms by optimising spectrum use, coverage, and connectivity.

Supervisor

Dr Zihuai Lin.

Research location

Electrical and Computer Engineering

Synopsis

With the explosive growth of wireless networks and the Internet, network resource utilisation becomes one of the critical design issues. This research investigates the potential of Reflective Intelligent Surfaces (RIS), Reflective Holographic Surfaces (RHS), and Terahertz (THz) technologies as enabling solutions for 6G wireless communications. RIS and RHS provide programmable, low-power, and cost-effective approaches to reshape wireless propagation environments by intelligently controlling electromagnetic waves, while THz frequencies offer vast bandwidths to support ultra-high data rates and low-latency applications. The project aims to develop novel system models, signal processing, and optimization algorithms to address challenges in channel estimation, beamforming, and interference management. By integrating RIS/RHS with THz communications, the research seeks to enhance coverage, spectral efficiency, and energy efficiency, paving the way for transformative 6G use cases such as holographic communications, extended reality, and ultra-reliable low-latency services.

Research Techniques / Methodologies / Technologies

The project will employ a combination of analytical modelling, simulation, and experimental validation. Key techniques include advanced signal processing, optimisation, and machine learning methods for RIS/RHS-assisted THz communications. State-of-the-art electromagnetic simulation tools, hardware prototyping, and testbed experiments may also be utilised to validate theoretical findings.

Offering

A scholarship for 3.5 years at the RTP stipend rate (currently $41,753 in 2025). International applicants will have their tuition fees covered.

Successful candidates:

must have a strong background in wireless communications, signal processing, and applied mathematics,
must experience in areas such as optimisation, machine learning, or electromagnetic modelling.
should have proficiency in n MATLAB, Python, or related simulation tools.

Candidates with an interest in next-generation communication systems (6G), reconfigurable surfaces, and THz technologies are especially encouraged to apply.

How to apply:

To apply, please email [email protected] the following:

a detailed CV, including academic qualifications, research experience and publications
academic transcripts

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Opportunity ID

The opportunity ID for this research opportunity is 3693