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  4. RF Small-Signal and Noise Modeling Including Parameter Extraction of Nanoscale MOSFET From Weak to Strong Inversion
 
research article

RF Small-Signal and Noise Modeling Including Parameter Extraction of Nanoscale MOSFET From Weak to Strong Inversion

Chalkiadaki, Maria-Anna  
•
Enz, Christian C.  
2015
IEEE Transactions on Microwave Theory and Techniques

The downscaling of CMOS processes has led to devices with an impressive RF performance. Advanced nanoscale RF MOSFETs present very high transit frequency, which can be traded off with lower power consumption, by shifting the operating point towards the weak inversion (WI) regime. This paper explores whether the simple RF schematics and models used in strong inversion remain valid in moderate or even down to deep WI regions for nanoscale devices. A simple RF equivalent circuit is proposed, leading to first-order analytical expressions, which are able to describe the RF small-signal behavior of nanoscale MOSFET, including noise, across all inversion levels. Using these expressions it is possible to extract the values of all the RF components and noise model parameters directly from measurements. The analytical models are compared to RF measurements of a commercial state-of-the-art 40-nm CMOS process and to the advanced BSIM6 compact bulk MOSFET model, showing very good accuracy.

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Type
research article
DOI
10.1109/TMTT.2015.2429636
Web of Science ID

WOS:000357622300011

Author(s)
Chalkiadaki, Maria-Anna  
Enz, Christian C.  
Date Issued

2015

Publisher

Institute of Electrical and Electronics Engineers

Published in
IEEE Transactions on Microwave Theory and Techniques
Volume

63

Issue

7

Start page

2173

End page

2184

Subjects

Advanced CMOS

•

BSIM6

•

RF noise

•

RF small signal

•

analytical modeling

•

nanoscale bulk MOSFET

•

parameter extraction

URL

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7109953&queryText=chalkiadaki&newsearch=true&searchField=Search_All
Editorial or Peer reviewed

REVIEWED

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EPFL

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Available on Infoscience
July 7, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/115906
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