BOOK: "Spectrum Sharing: The Next Frontier in Wireless Networks"
Editors: C.B. Constantinos, T. Ratnarajah and D.T.M Slock
Publisher: Wiley, April 2020.
ISBN: 978-1-119-55151-5.
Coming soon
Tutorial presentation in ICC 2021
IEEE International Conference on Communications, Jun 14-18, 2021, Montreal, Canada.
Title: Tools and Techniques for Future Spectrum Sharing and Coexistence
Presenters: C.B. Constantinos, T. Ratnarajah and D.T.M. Slock
ICC and ICASSP 2021 papers
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 (recruited)
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 (recruited)
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 (recruited)
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/)
Editors: C.B. Constantinos, T. Ratnarajah and D.T.M Slock
Publisher: Wiley, April 2020.
ISBN: 978-1-119-55151-5.
Coming soon
Tutorial presentation in ICC 2021
IEEE International Conference on Communications, Jun 14-18, 2021, Montreal, Canada.
Title: Tools and Techniques for Future Spectrum Sharing and Coexistence
Presenters: C.B. Constantinos, T. Ratnarajah and D.T.M. Slock
ICC and ICASSP 2021 papers
- N. Garg and T. Ratnarajah, "Cooperative Scenarios for Multi-agent Reinforcement Learning in Wireless Edge Caching," In Proc. the IEEE 46th International Conference on Acoustics, Speech and Signal Processing, Toronto, Canada, 6-11, June 2021.
- J. Zhang, H. Luo, N. Garg, M. Holm, and T. Ratnarajah, “Integrated Access and Backhaul Networks”, in Proc. of the IEEE International Conference on Communications, Montreal, Canada, 14-23 June, 2021.
- Y. Doshi, B.N. Bharath, N. Garg, V. Bhatia and T. Ratnarajah, "Learning Distributed Coded Caching Strategy in a Cellular Network," In Proc. the IEEE 93rd Vehicular Technology Conference, Helsinki, Finland, April 25-28, 2021
- J. Zhang, N. Garg, M. Holm, and T. Ratnarajah, ''Nystrom Method-based Hybrid Precoding for mmWave Full-Duplex Integrated Access and Backhaul Systems,'' In Proc. the IEEE Wireless Communications and Networking Conference, Nanjing, China, 29 Mar.-1 Apr. 2021.
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 (recruited)
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 (recruited)
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 (recruited)
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/)
