TY - GEN
T1 - System and Component Design for Wireless Distributed Computing
AU - Katayama, Kosuke
AU - Baba, Takaaki
AU - Ohsawa, Takashi
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported by Japan Society for the Promotion of Science (JSPS) through a Grant-in-Aid for Scientific Research (No. 18K04155).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - Wireless distributed computing (WDC) enhances computational performance by combining computer resources over the wireless network. Therefore, high-performance RF front-end is necessary for high-speed wireless communication. (a) A 24 GHz amplifier has been designed in 59 min using particle swarm optimization. (b) A planar filter has been synthesized in 2.9 ms using a convolutional neural network. (c) \mathrm{A} \ 1\times 2 array Yagi-Antenna has been proposed using a rat-race balun as a power divider. In this paper, we clarify the current circumstances of (a) amplifier, (b) filter, and (c) antenna designs because these components are the major components of the RF front-end of the WDC. We also discuss the future plans of these designs and the integration of these components for the highperformance computing over the WDC.
AB - Wireless distributed computing (WDC) enhances computational performance by combining computer resources over the wireless network. Therefore, high-performance RF front-end is necessary for high-speed wireless communication. (a) A 24 GHz amplifier has been designed in 59 min using particle swarm optimization. (b) A planar filter has been synthesized in 2.9 ms using a convolutional neural network. (c) \mathrm{A} \ 1\times 2 array Yagi-Antenna has been proposed using a rat-race balun as a power divider. In this paper, we clarify the current circumstances of (a) amplifier, (b) filter, and (c) antenna designs because these components are the major components of the RF front-end of the WDC. We also discuss the future plans of these designs and the integration of these components for the highperformance computing over the WDC.
KW - Yagi-Antenna
KW - amplifier
KW - convolutional neural network
KW - particle swarm optimization
KW - planar filter
KW - rat-race balun
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U2 - 10.1109/RFIT49453.2020.9226252
DO - 10.1109/RFIT49453.2020.9226252
M3 - Conference contribution
AN - SCOPUS:85096600579
T3 - 2020 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2020
SP - 223
EP - 225
BT - 2020 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2020
Y2 - 2 September 2020 through 4 September 2020
ER -