NEWS Mitsubishi Electric Corporation and MERL Press Release Describes Future Digitally Controlled Power Amplifier
Date released: January 10, 2019
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NEWS Mitsubishi Electric Corporation and MERL Press Release Describes Future Digitally Controlled Power Amplifier Date:
January 10, 2019
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Where:
Tokyo, Japan
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Description:
Mitsubishi Electric Corporation announced today its development of the world's first ultra-wideband digitally controlled gallium nitride (GaN) amplifier, which is compatible with a world-leading range of sub-6GHz bands focused on fifth-generation (5G) mobile communication systems. With a power efficiency rating of above 40%, the amplifier is expected to contribute to large-capacity communication and reduce the power consumption of mobile base stations.
MERL and Mitsubishi Electric researchers collaborated to develop digital control methods for amplifiers achieving high-efficiency of 40% and above, with 110% of the fractional bandwidth over frequency range 1.4-4.8 GHz. The digital control signals are designed using a learning-function based on Maisart®.
Please see the link below for the full Mitsubishi Electric press release text. -
External Link:
http://www.mitsubishielectric.com/news/2019/0110.html?cid=rss
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MERL Contacts:
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Research Areas:
Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing
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Related Publications
- "Machine-Learning Based Digital Doherty Power Amplifier", IEEE International Symposium on Radio Frequency Integration Technology (RFIT), DOI: 10.1109/RFIT.2018.8524126, August 2018.
,BibTeX TR2018-114 PDF Video- @inproceedings{Ma2018aug,
- author = {Ma, Rui and Benosman, Mouhacine and Manjunatha, Koushik and Komatsuszaki, Yuji and Shinjo, Shintaro and Teo, Koon Hoo and Orlik, Philip V.},
- title = {Machine-Learning Based Digital Doherty Power Amplifier},
- booktitle = {IEEE International Symposium on Radio Frequency Integration Technology (RFIT)},
- year = 2018,
- month = aug,
- doi = {10.1109/RFIT.2018.8524126},
- url = {https://www.merl.com/publications/TR2018-114}
- }
- "Stochastically Approximated Multiobjective Optimization of Dual Input Digital Doherty Power Amplifier", IEEE International Workshop on Computational Intelligence and Applications, DOI: 10.1109/IWCIA.2017.8203576, November 2017.
,BibTeX TR2017-163 PDF Video- @inproceedings{Niu2017nov,
- author = {Niu, Sufeng and Ma, Rui and Manjunatha, Koushik},
- title = {Stochastically Approximated Multiobjective Optimization of Dual Input Digital Doherty Power Amplifier},
- booktitle = {IEEE International Workshop on Computational Intelligence and Applications},
- year = 2017,
- month = nov,
- doi = {10.1109/IWCIA.2017.8203576},
- url = {https://www.merl.com/publications/TR2017-163}
- }
- "Machine-Learning Based Digital Doherty Power Amplifier", IEEE International Symposium on Radio Frequency Integration Technology (RFIT), DOI: 10.1109/RFIT.2018.8524126, August 2018.
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