Dr Yue Gao

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Job title: Reader
Division: Electronic Engineering and Computer Science
Organisation: Queen Mary University of London
Tags: Fellowship: Early Career Fellowship, Queen Mary University of London, Researcher
Related theme: ICT


Yue is a Reader in the School of Electronic Engineering and Computer Science at Queen Mary University of London, where he leads the Whitespace Machine Communication Lab. His research focuses on developing theoretical research into practice in the interdisciplinary area among smart antennas, signal processing, spectrum sharing, internet of things.

My Fellowship

This fellowship project is to design GHz bandwidth sensing (GBSense) systems to overcome the bottleneck of Nyquist-rate sampling by developing sub-Nyquist sampling algorithms and smart antennas. GBSense gives user access to flexible hardware and application software that enables GHz bandwidth signal sensing, analysis and communication at sub-6GHz and millimetre-wave (mm-wave) frequency bands.

Data rate for exchanging mobile information among people, machines and things has been exponentially increasing over the past decade. These data rates are empirically linked to radio spectrum availability. The exorbitant auction price, e.g., £2.3 Billion for 4G spectrum in the UK, highlights the strength of the competitive market forces but also the scarcity of this precious resource.

The UK communications regulator has made an innovative licence-exempt spectrum sharing on the ultra-high frequency (UHF) TV bands in 2016. The mm-wave spectra with one GHz bandwidth or more are considered to cope with high data rate wireless services. The satellite and radar applications are co-existing in these mm-wave spectra, and thus any licence-exempt use of these spectra must first ascertain that the spectra to be used are not already in use.

Sensing GHz bandwidth signals in UHF or mm-wave frequency bands to gain a clear access to these spectra is critical, while resulting in formidable and complex challenge on the Nyquist-rate analog-to-digital sampling. Thus, GBSense offers new creative and implementable possibilities over experimental platforms without requiring Nyquist-rate sampling. It will interface with a low-cost computing unit, e.g., Raspberry PI, where sub-Nyquist algorithms are hosted, for enabling better human-computer interaction. 

Motivation to Apply

Yue is passionate about the interdisciplinary research area of antennas and signal processing, and developing theoretical algorithms into practice through experimental frameworks and platforms.  He is confident in being able to deliver a strong impact to the research communities and wider society by conducting this fellowship project. Yue believe’s that this fellowship will enable him to devote his time to the GBSense to support the digital revolution. It will also help him consolidate and extend his research group, and develop himself from an international researcher to an international leader.

Career benefit of Fellowship

This fellowship at this stage of his career has provided Yue with a substantial amount of time and independence to pursue ambitious objectives and to establish leadership with a strong research activity in the interdisciplinary area between RF & Microwave and signal processing. It enables Yue to push the boundaries of antennas and signal processing research areas to wider communities, and to establish himself from an international researcher to an international leader. The fellowship accelerates towards the objectives more quickly so as to elevate the UK leading role on the research and development of RF, Microwave, antennas and signal processing.

Advice for future applicants

Be passionate about your research, and be ambitious about your research plan, but deliverable within your capacity.