Publication:
Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks
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Abstract
In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process. The advances in telecommunications, such as the 5th generation broadband or 5G for short, open doors to advances in areas such as health care, education, resource management, transportation, agriculture and many other areas. Consequently, there is high pressure in today's market for significant communication rates, extensive bandwidths and ultralow-power consumption. This is where radiofrequency (RF) integrated circuits (ICs) come in hand, playing a crucial role. This demand stresses out the problem which resides in the remarkable difficulty of RF IC design in deep nanometric integration technologies due to their high complexity and stringent performances.
Description
Authors
Domingues, João L. C. P.
Vaz, Pedro J. C. D. C.
Gusmão, António P. L.
Horta, Nuno C. G.
Alternate Authors
Advisor
Place of publication
Cham, Switzerland
Publisher
Springer
Date
2023
Journal ISSN
Volume Title
Keywords
Neural networks , Integrated circuits , Design and construction , Integrated circuits industry
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