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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2020

07.04.2020

High-Density Wavelength Multiplexing Model for THz-EMI Transmission

verfasst von: M. Bunruangses, K. Chaiwong, I. S. Amiri, P. Youplao, N. Pornsuwancharoen, P. Yupapin

Erschienen in: Wireless Personal Communications | Ausgabe 2/2020

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Abstract

We propose the use of the specific form of the integrated device known as the boxcar filters for big data transmission, where the advantage of such device is the number of roll-off (bandwidth) can be increased to meet the large demand of the future bandwidth requirements. A boxcar filter system is formed by the serial Panda-ring resonators, where the initial and end rings are used to form the whispering gallery mode beams for the light fidelity (LiFi) up-down-link conversion. There are 5 boxcar circuits within the system. Each of boxcar devices has the electro-optic connection that can be used to perform the external signal processing applications, where all electronic signals are changed to be the light signals and connected to the network via the free-space up-down link nodes. In a simulation, the selected light source is fed into the boxcar filters via the input port, in which the single roll-off bandwidth of 300 THz is obtained. The frequency guard band is given by each boxcar separation. In applications, the electromagnetic immunity interference (EMI) signals can be obtained by the electro-optic conversion circuit, which is the medical instrument specification requirement. The low EMI signals can be connected to the network and transmission using the LiFi network to the remote area. In addition, the medical information to home using the big data via the ad hoc LiFi network and the internet of thing platform arrangements are also proposed.
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Metadaten
Titel
High-Density Wavelength Multiplexing Model for THz-EMI Transmission
verfasst von
M. Bunruangses
K. Chaiwong
I. S. Amiri
P. Youplao
N. Pornsuwancharoen
P. Yupapin
Publikationsdatum
07.04.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07276-4

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