Realization of a power-efficient transmitter based on integrated artificial neural network
In wireless devices, a transmitter normally consumes most of power due to its power amplifier (PA), especially in the applications such as radar, base station, and mobile phone. It is highly desirable to design a transmitter that can emit signals smartly, i.e., the power emission is exactly based on...
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sg-ntu-dr.10356-1034072020-03-07T14:00:36Z Realization of a power-efficient transmitter based on integrated artificial neural network Kong, Deyu Hu, Shaogang Wu, Yuancong Wang, Junjie Xiong, Canlong Yu, Qi Shi, Zhengyu Liu, Zhen Chen, Tupei Yin, You Hosaka, Sumio Liu, Yang School of Electrical and Electronic Engineering Radiofrequency Amplifiers DRNTU::Engineering::Electrical and electronic engineering Radio Transmitters In wireless devices, a transmitter normally consumes most of power due to its power amplifier (PA), especially in the applications such as radar, base station, and mobile phone. It is highly desirable to design a transmitter that can emit signals smartly, i.e., the power emission is exactly based on the emitting distance required and the target. Such a design can save huge amount of power as there are almost countless wireless devices in use currently. In this paper, an intelligent radio-frequency transmitter integrated with artificial neural network (ANN) is implemented. The intelligent transmitter consists of an ANN module, a frequency generation module, and a switch-mode PA. The integrated three-layered fully connected ANN can be offline trained to smartly classify input data according to the required power and assign the transmission channel. Furthermore, with the integrated ANN, the average power consumption of the PA is reduced to 34.3 mW, which is 46.5 % lower than PA without the ANN. With the intelligent transmitter, wireless devices can save a large amount of energy in their operations. Published version 2019-01-02T05:48:04Z 2019-12-06T21:12:01Z 2019-01-02T05:48:04Z 2019-12-06T21:12:01Z 2018 Journal Article Kong, D., Hu, S., Wu, Y., Wang, J., Xiong, C., Yu, Q., . . . Liu, Y. (2018). Realization of a power-efficient transmitter based on integrated artificial neural network. IEEE Access, 6, 68773-68781. doi:10.1109/ACCESS.2018.2880033 https://hdl.handle.net/10356/103407 http://hdl.handle.net/10220/47303 10.1109/ACCESS.2018.2880033 en IEEE Access © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 9 p. application/pdf |
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Radiofrequency Amplifiers DRNTU::Engineering::Electrical and electronic engineering Radio Transmitters |
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Radiofrequency Amplifiers DRNTU::Engineering::Electrical and electronic engineering Radio Transmitters Kong, Deyu Hu, Shaogang Wu, Yuancong Wang, Junjie Xiong, Canlong Yu, Qi Shi, Zhengyu Liu, Zhen Chen, Tupei Yin, You Hosaka, Sumio Liu, Yang Realization of a power-efficient transmitter based on integrated artificial neural network |
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In wireless devices, a transmitter normally consumes most of power due to its power amplifier (PA), especially in the applications such as radar, base station, and mobile phone. It is highly desirable to design a transmitter that can emit signals smartly, i.e., the power emission is exactly based on the emitting distance required and the target. Such a design can save huge amount of power as there are almost countless wireless devices in use currently. In this paper, an intelligent radio-frequency transmitter integrated with artificial neural network (ANN) is implemented. The intelligent transmitter consists of an ANN module, a frequency generation module, and a switch-mode PA. The integrated three-layered fully connected ANN can be offline trained to smartly classify input data according to the required power and assign the transmission channel. Furthermore, with the integrated ANN, the average power consumption of the PA is reduced to 34.3 mW, which is 46.5 % lower than PA without the ANN. With the intelligent transmitter, wireless devices can save a large amount of energy in their operations. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Kong, Deyu Hu, Shaogang Wu, Yuancong Wang, Junjie Xiong, Canlong Yu, Qi Shi, Zhengyu Liu, Zhen Chen, Tupei Yin, You Hosaka, Sumio Liu, Yang |
format |
Article |
author |
Kong, Deyu Hu, Shaogang Wu, Yuancong Wang, Junjie Xiong, Canlong Yu, Qi Shi, Zhengyu Liu, Zhen Chen, Tupei Yin, You Hosaka, Sumio Liu, Yang |
author_sort |
Kong, Deyu |
title |
Realization of a power-efficient transmitter based on integrated artificial neural network |
title_short |
Realization of a power-efficient transmitter based on integrated artificial neural network |
title_full |
Realization of a power-efficient transmitter based on integrated artificial neural network |
title_fullStr |
Realization of a power-efficient transmitter based on integrated artificial neural network |
title_full_unstemmed |
Realization of a power-efficient transmitter based on integrated artificial neural network |
title_sort |
realization of a power-efficient transmitter based on integrated artificial neural network |
publishDate |
2019 |
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https://hdl.handle.net/10356/103407 http://hdl.handle.net/10220/47303 |
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1681039287907254272 |