School of Mechanical, Electrical and Manufacturing Engineering

Research

Signal processing, machine learning and networking solutions

Development of these areas will dramatically increase the capacity of future wireless communication networks beyond 5G

Signal Processing and Networks Research Group

Performing internationally leading research, the Signal Processing and Networks Research Group (SPNRG) aims to advance algorithmic design and protocols to improve communications networks.

Our Aim

The group aims to address current communication restrictions in a range of applications from underwater to cybersecurity. As well as publishing more than 1,000 journal and conference articles, many of their research outcomes have already been adopted by industrial partners.

As part of their plans to help protect aquatic wild life, governments and industry world wide utilise the Group's underwater acoustics and noise field measurement research to better understand and reduce potential impacts of man made noise in these environments. The group have also been involved in the University Defence Research Collaboration in Signal Processing, providing novel solutions to challenges faced by the defence industry.

Our Research Projects

More Research Projects

  • Joint Interference Alignment and Caching for Interference Management in Heterogeneous Dense Wireless Networks - This is a collaborative project with Xidian University in China to investigate joint interference alignment and caching, two complementary techniques, that can effectively mitigate interference and significantly improve key system performance metrics
  • Empowering Reliable and Secure Massive MIMO Communications using Deep Learning and GPU - This is the first activity of its kind in the UK that aims to demonstrate the feasibility of using deep learning approach to achieve reliable and secure MIMO communications
  • Communications Signal Processing Based Solutions for Massive Machine-to-Machine Networks (M3NETs) - The overarching aim of this proposal is to address various challenges including heterogeneous traffic patterns, radio resource management and interference mitigation, and energy efficiency, in order to fully realise the benefits of machine to machine communications. It is in collaboration with Leicester university, QMUL, BT, Mobile VCE and AWTG

Our Team

Our Research Opportunities

Our PhD students play a central role in our wide-ranging research activities, making vital contributions to the success of the research itself. Find out more about our current research opportunities.

Our Research Opportunities