Research output per year
Research output per year
PROF
Accepting PhD Students
PhD projects
Full-Duplex Radio<br/>mmWave Communications<br/>Big Data Analytics and Machine Learning for Wireless Communications<br/>Interference Alignment<br/>Network Information Theory<br/>Random Matrix Theory and Stochastic Geometry
Prof. Tharm. Ratnarajah is currently with the Institute for Digital Communications, University of Edinburgh, Edinburgh, UK, as a Professor in Digital Communications and Signal Processing. He was a Head of the Institute for Digital Communications during 2016-2018. His research interests include signal processing and information theoretic aspects of beyond 5G cellular networks, full-duplex radio, mmWave communications, big data analytics and machine learning for wireless communications, random matrix theory, stochastic geometry, statistical and array signal processing, interference alignment, physical layer secrecy, cognitive radio /licensed shared access and biomedical signal processing. He has published over 400 publications in these areas and holds four U.S. patents. He has supervised 15 PhD students and 20 post-doctoral research fellows and raised 11 million+ USD of research funding. He was the coordinator of the FP7 projects ADEL (3.7M€) in the area of licensed shared access for 5G wireless networks and HARP (4.6M€) in the area of highly distributed MIMO and FP7 Future and Emerging Technologies projects HIATUS (3.6M€) in the area of interference alignment and CROWN (3.4M€) in the area of cognitive radio networks. Dr Ratnarajah was an associate editor IEEE Transactions on Signal Processing, 2015-2017 and Technical co-chairs, The 17th IEEE International workshop on Signal Processing advances in Wireless Communications, Edinburgh, UK, 3-6, July, 2016. Dr Ratnarajah is a Fellow of Higher Education Academy (FHEA), U.K.
Ph.D. research projects available in the following areas:
Full-duplex radio;
mmWave communications;
Big data analytics and machine learning for wireless communications
Massive MIMO;
Interference alignment;
Network Information Theory;
Random matrix theory and stochastic geometry.
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
1/03/21 → 28/02/25
Project: Research
UK industry, commerce and public corporations
1/09/20 → 29/02/24
Project: Research
UK central government bodies/local authorities, health and hospital authorities
4/06/21 → 27/03/22
Project: Research
1/09/20 → 31/08/22
Project: Research
Non-EU industry, commerce and public corporations
13/08/20 → 12/08/22
Project: Research
19/06/17
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Press/Media: Expert Comment