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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Main Authors: Kong, Deyu, Hu, Shaogang, Wu, Yuancong, Wang, Junjie, Xiong, Canlong, Yu, Qi, Shi, Zhengyu, Liu, Zhen, Chen, Tupei, Yin, You, Hosaka, Sumio, Liu, Yang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/103407
http://hdl.handle.net/10220/47303
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Radiofrequency Amplifiers
DRNTU::Engineering::Electrical and electronic engineering
Radio Transmitters
spellingShingle 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
description 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.
author2 School of Electrical and Electronic Engineering
author_facet 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
url https://hdl.handle.net/10356/103407
http://hdl.handle.net/10220/47303
_version_ 1681039287907254272