Poluri, N., De Souza, M.M. orcid.org/0000-0002-7804-7154, Venkatesan, N. et al. (1 more author) (2021) Modelling challenges for enabling high performance amplifiers in 5G/6G applications. In: 2021 28th International Conference on Mixed Design of Integrated Circuits and System. 28th International Conference on Mixed Design of Integrated Circuits and System (MIXDES), 24-26 Jun 2021, Lodz, Poland (online). IEEE (Institute of Electrical and Electronics Engineers) , pp. 45-50. ISBN 9781665443487
Abstract
Continuum mode amplifiers, which rely on harmonic tuning, have shown their potential for high efficiency over large bandwidths below 6 GHz and are strong candidates for even higher frequency applications of 5G networks. An accurate model of the transistor up to the third harmonic is a necessity for exploiting these amplifier classes. In this work, we present the considerations and challenges associated with modelling the device, and in particular the impact of extrinsic parasitics, for operation at high frequencies. We present a modified version of Dambrine’s extraction procedure of intrinsic elements at sub-6 GHz frequencies, and demonstrate its utility up to 80 GHz by application in the extraction of a simulated GaN HEMT.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Lodz University of Technology, Department of Microelectronics and Computer Science. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Fifth Generation mobile communication (5G); GaN HEMT; Parasitic extraction; Device modelling |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number Innovate UK (TSB) 600721 PARSIMO-270687-2 Global Invacom Ltd N/A |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Aug 2021 11:29 |
Last Modified: | 30 Jul 2022 00:13 |
Status: | Published |
Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
Refereed: | Yes |
Identification Number: | 10.23919/MIXDES52406.2021.9497644 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177217 |