IDCoM Research Projects

Research Projects at the Institute for Digital Communications (IDCoM). You can search keywords within Project Titles.

We also have a number of Digital Communications PhD opportunities for postgraduate students looking to join the School.

Search keywords within Research Project titles
Project Title Principal Supervisor Project Summary
HIATUS: enHanced Interference Alignment Techniques for Unprecedented Spectral efficiency

Prof Tharmalingam Ratnarajah

High spectral efficiency is the holy grail of wireless networks due to the well-known scarcity of radio spectrum. The successive introduction of advanced communication techniques enabled by the massive increases in processing power over the last few decades has enabled a progressive rise in link spectral efficiency, which in emerging systems seems to be approaching its limits.

HARP: High capacity network Architecture with Remote radio heads & Parasitic antenna arrays

Dr Tharmalingam Ratnarajah

To bring distributed multi-antenna wireless access to reality by combining two powerful emerging technologies:

radio remote heads (RRHs), which allow for widely geographically distributed access via radio-over-fibre connections to a central base station; and electronically steerable passive array radiators – ESPARs, which provide multi-antenna-like functionality with a single active RF chain only
UDRC: University Defence Research Collaboration in Signal Processing

Prof Mike Davies

Signal Processing is fundamental to the capability of all modern sensor weapon systems and the Defence Technology Strategy identified the development and application of signal processing techniques as high priority technical challenges within the MOD research agenda.

The UDRC is a leading partnership between industry, defence and is academia led and focuses on sensor signal processing for defence.

TASCC: Pervasive low-TeraHz and Video Sensing for Car Autonomy and Driver Assistance (PATH CAD)

Prof Bernard Mulgrew

This project combines novel low-THz (LTHz) sensor development with advanced video analysis, fusion and cross learning. Using the two streams integrated within the sensing, information and control systems of a modern automobile, we aim to map terrain and identify hazards such as potholes and surface texture changes in all weathers, and to detect and classify other road users (pedestrians, car, cyclists etc.).

In-situ Chemical Measurement and Imaging Diagnostics for Energy Process Engineering

Prof Hugh McCann and Prof Walter Johnstone

The primary focus of the programme proposed here is to build across two universities (Strathclyde and Edinburgh) a world leading UK research, development and applications capability in the field of in-situ chemical and particulate measurement and imaging diagnostics for energy process engineering. Independently, the two university groups already have globally eminent capabilities in laser-based chemical and particulate measurement and imaging technologies. They have recently been working in partnership on a highly complex engineering project (EPSRC FLITES) to realise a chemical species measurement and diagnostic imaging system (7m diameter) that can be used on the exhaust plume of the largest gas turbine (aero) engines for engine health monitoring and fuels evaluation. Success depended on the skills acquired by the team and their highly collaborative partnership working. A key objective is to keep this team together and to enhance their capability, thus underpinning the research and development of industrial products, technology and applications. The proposed grant would also accelerate the exploitation of a strategic opportunity in the field that arises from the above work and from recent recruitment of academic staff to augment their activities. The proposed programme will result in a suite of new (probably hybrid) validated, diagnostic techniques for high-temperature energy processes (e.g. fuel cells, gas turbine engines, ammonia-burning engines, flame systems, etc.). 

Signal Processing in the Information Age

Prof Michael E Davies

The aim of the UDRC is to develop unprecedented research in signal processing with application to the defence industry and share knowledge, promote communications, guidance and training. The formation of consortia will bring together researchers from across the different aspects of signal processing to address the research challenges of operating in a networked battlespace. This will form part of a wider collaborative centre of excellence for signal processing that embraces academia, Research and Technology Organisations, defence manufacturing industries and the Defence Technology Centres. This collaboration will support a cutting edge signal and data processing capability in the UK, and lead to potentially greater research impact.

ADEL: Advanced Dynamic spectrum 5G mobile networks Employing Licensed shared access

Prof Tharmalingam Ratnarajah

Based on the negotiation meeting held in Brussels on 24th July 2013 under the 'Seventh Framework Programme for Research of the European Commission',  ADEL's aim is to develop future heterogeneous wireless networks of  higher capacity and energy efficiency thus setting the road-map for the adoption of spectrum flexible broadband wireless systems by 2020.

 

FLITES: Fibre-Laser Imaging of Gas Turbine Exhaust Species

Professor Hugh McCann

The FLITES consortium aims to enhance turbine-related R&D capacity in both academia and industry by opening up access to exhaust plume chemistry with penetrating spatio-temporal resolution. This will underpin a new phase of low-net-carbon development that is already underway in aviation, based on bio-derived fuels, entailing extensive R&D in turbine engineering and combustion, and fuel product formulation.

GREENNET An early stage training network in enabling technologies for GREEN radio

Professor Harald Haas

Greenet is an Initial Training Network (ITN) Marie Curie project that is focused on the analysis, design, and optimization of energy efficient wireless communication systems and networks.

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