Mengyue Tian
Research student, School of Engineering
- mengyuet@cardiff.ac.uk
- Room C/3.10, Queen's Buildings - Central Building, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Overview
I am a PhD student at the Centre for High-Frequency Engineering (CHFE) at the School of Engineering at Cardiff University. I am conducting my research under the supervision of Dr James Bell, Dr Roberto Quaglia, and Prof. Paul J. Tasker.
I received my bachelor’s degree from the Xi'an University of Posts and Telecommunications, China, and started my PhD studies at Cardiff University in 2020.
I am currently working on a project titled "Neural Network Model Extraction for 5G Power Amplifier Design", which aims to develop a robust and automated behavioural model for RF transistors that can be used by RF amplifier designers.
Research
Research interests
My research focuses on modelling the nonlinear behaviours of RF devices. Currently, the focus is on the Cardiff model and artificial neural network model formulation, including data collection through load-pull measurements.
The use of models for power amplifier design in commercial applications is also of interest to me.
Supervisors
Publications
2024
- Tian, M., Bell, J. J., Quaglia, R., Azad, E. M. and Tasker, P. J. 2024. Artificial neural network nonlinear transistor behavioral models: Structure and parameter determination process based on the Cardiff Model. IEEE Transactions on Microwave Theory and Techniques (10.1109/TMTT.2024.3434959)
- Tian, M., Urvoy, J., Powell, J., Bell, J. J., Cripps, S. C., Tasker, P. and Quaglia, R. 2024. Application of the Cardiff Model for Orthogonal LMBA response prediction. Presented at: 2024 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR), 21-24 January 2024Proceedings Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR) 2024. IEEE pp. 17-20., (10.1109/PAWR59907.2024.10438664)
- Tian, M., Bell, J. J., Quaglia, R. and Tasker, P. J. 2024. An extraction method based on artificial neural network techniques for novel Cardiff model with reasonable extrapolation behavior. IEEE Microwave and Wireless Components Letters 34(1), pp. 5-8. (10.1109/LMWT.2023.3329979)
2023
- Yuan, W., Tian, M. and Bell, J. 2023. Implementation efficiency comparison between ANN and the Cardiff Model in ADS. Presented at: 2023 International Workshop on Integrated Nonlinear Microwave and Millimeterwave Circuits, INMMIC, 08-11 November 20232023 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMIC). IEEE pp. 1-4., (10.1109/INMMIC57329.2023.10321776)
- Tian, M., Bell, J., Azad, E., Quaglia, R. and Tasker, P. 2023. A novel Cardiff model coefficients extraction process based on artificial neural network. Presented at: 2023 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless ApplicationsED, MAY BE LINKED, Las Vegas, NV, USA, 22-25 January 20232023 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications. IEEE, (10.1109/PAWR56957.2023.10046221)