Intelligent reflecting surface (IRS) is a novel concept that is been introduced in beyond 5G communication. It will reconfigure the wireless propagation environment via software-control reflection. This surface will consist of low-cost integrated electronics that would sense and reflect electromagnetic waves in a specific direction. As a result, this would boost the signal at the receiver with no added hardware cost. The aim of this research work is to develop and model a hardware testbed for the IRS. The proposed work will explore various meta-surface unit cells which could effectively manipulate the electromagnetic waves and design a control board with IRS for beamforming applications. The hardware imperfection and energy efficiency will be considered as main metrics to optimize.
This project will investigate the optimal IRS beamforming and beam management algorithms, both analytical and simulation results will be provided to guide the practical IRS deployment.Details
Integrated circuits, antennas, arrays, filters, and multiplexers are essential in communication systems. Present manual design methods suffer from long time-to-market and often suboptimal design quality. To address this challenge, we propose novel AI (evolutionary computation and machine learning) techniques to assist or automate the design. Our AI-driven antenna design methods, the SADEA series, can obtain highly optimal designs with up to twenty times efficiency speed improvement compared to other existing methods. Moreover, the initial design is not needed. The SADEA series ranks first in comparisons carried out by MathWorks and Altair and was embedded into MATLAB. We invented the first AI-driven design method for 5G base station antennas (sample here). We also invented the first method for the automated filter, diplexer, and analogue IC automated design ready for industry use by addressing key bottlenecks. They are essential tools for more than ten leading design teams (both academia and industry). We believe that induced significant improvement in design quality and time-to-market are also applicable to BT.Details
With the growing overcrowding of the spectrum, new threats (e.g. UAVs near airports) and the need for spectrum reuse, there is a need in developing novel radar systems that can evolve in that environment and communicate amongst themselves. This starts with developing the radar spectrum sensing and actively communicating with neighbouring radars or communication nodes to collaborate and fuse information. These functions must be executed alongside radar functions and switch from one mode to another or combine several modes together in its operation via resource management. Having a software-defined radar platform to do this would mean that the radar could dynamically change its operating mode to fit the task at hand by acting via software on both hardware and processing configurations. We explore waveform design, MIMO, radar geometries, and polarisation to that end.Details