BOOK: "Spectrum Sharing: The Next Frontier in Wireless Networks"
Editors: C.B. Constantinos, T. Ratnarajah and D. Slock
Publisher: Wiley, April 2020.
ISBN: 978-1-119-55151-5.
PhD Positions Available
PhD opportunities available in Institute of Digital Communications, The University of Edinburgh, UK.
Signal Processing and Information-Theoretic Study in Full-Duplex Radio
Here we investigate novel PHY layer 5G NR standard compatible and readily implementable digital and analog self-interference cancellation techniques for beyond 5G scenarios. This project is in collaboration with leading wireless industry.
Signal Processing for Joint Comms and Radar Transmission
This project studies the joint design to achieve the coexistence between the current radar and communication services. More fundamentally, dual-functional devices and systems that can simultaneously perform remote sensing and transmit useful information via classical communications appear as an essential enabler for the future, not only ensuring the spectral coexistence but also mutual benefits for both radar and communication’s performance. This project is in collaboration with leading defence industry Leonardo, Edinburgh (UK residency requirement needed)
The Cognitively Inspired 5G-IoT Enabled Multi‐Modal Hearing Aid
This ambitious project will use innovative data science related to machine learning and privacy algorithms, while integrating enabling technologies such as the Internet of Things (IoT) and 5G wireless technology to realize the future hearing aids. This project is funded by the Engineering and Physical Sciences Research Council (EPSRC)’s ‘Transformative Healthcare Technologies for 2050’ scheme, which supports research into ‘visionary’ technologies with the potential to impact and transform healthcare by the year 2050.
These projects demand that the research student already possesses exceptional knowledge in advanced signal processing and communication together with very high mathematical ability and programming skills. In particular the PhD student needs to have prior knowledge in applied mathematics, multivariate statistical analysis, information theory and should be familiar with various advance wireless communication techniques.
Please contact Prof. Tharm Ratnarajah T.Ratnarajah@ed.ac.uk (http://www.profratnarajah.org/)
ICC and ICASSP 2020 papers (mainly from Mathini's Group)
Editors: C.B. Constantinos, T. Ratnarajah and D. Slock
Publisher: Wiley, April 2020.
ISBN: 978-1-119-55151-5.
PhD Positions Available
PhD opportunities available in Institute of Digital Communications, The University of Edinburgh, UK.
Signal Processing and Information-Theoretic Study in Full-Duplex Radio
Here we investigate novel PHY layer 5G NR standard compatible and readily implementable digital and analog self-interference cancellation techniques for beyond 5G scenarios. This project is in collaboration with leading wireless industry.
Signal Processing for Joint Comms and Radar Transmission
This project studies the joint design to achieve the coexistence between the current radar and communication services. More fundamentally, dual-functional devices and systems that can simultaneously perform remote sensing and transmit useful information via classical communications appear as an essential enabler for the future, not only ensuring the spectral coexistence but also mutual benefits for both radar and communication’s performance. This project is in collaboration with leading defence industry Leonardo, Edinburgh (UK residency requirement needed)
The Cognitively Inspired 5G-IoT Enabled Multi‐Modal Hearing Aid
This ambitious project will use innovative data science related to machine learning and privacy algorithms, while integrating enabling technologies such as the Internet of Things (IoT) and 5G wireless technology to realize the future hearing aids. This project is funded by the Engineering and Physical Sciences Research Council (EPSRC)’s ‘Transformative Healthcare Technologies for 2050’ scheme, which supports research into ‘visionary’ technologies with the potential to impact and transform healthcare by the year 2050.
These projects demand that the research student already possesses exceptional knowledge in advanced signal processing and communication together with very high mathematical ability and programming skills. In particular the PhD student needs to have prior knowledge in applied mathematics, multivariate statistical analysis, information theory and should be familiar with various advance wireless communication techniques.
Please contact Prof. Tharm Ratnarajah T.Ratnarajah@ed.ac.uk (http://www.profratnarajah.org/)
ICC and ICASSP 2020 papers (mainly from Mathini's Group)
- A. Gupta and M. Sellathurai, "End-to-End Learning-based Amplify-and-Forward Relay Networks using Autoencoders," In Proc. the IEEE International Conference on Communications, Dublin, Ireland, June 7-11, 2020.
- A. Gupta and M. Sellathurai, "Contextual-Bandit based MIMO Relay Selection Policy with Channel Uncertainty," In Proc. the IEEE International Conference on Communications, Dublin, Ireland, June 7-11, 2020.
- A. Gupta and M. Sellathurai, "A Stacked-Autoencoder based end-to-end Learning Framework for decode and Forward Relay Networks," In Proc. the IEEE 45th International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain, UK, 4-8, May 2020.
- G. Papageorgiou and M. Sellathurai, "Fast Directions-of-arrival estimation of multiple targets using deep learning and sparse arrays," In Proc. the IEEE 45th International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain, UK, 4-8, May 2020.
- N. Garg, M. Sellathurai and T. Ratnarajah, "In-network Caching For Hybrid Satellite-Terrestrial Networks Using Deep Reinforcement Learning," In Proc. the IEEE 45th International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain, UK, 4-8, May 2020.
