Seamless Gbps Hybrid FSO/THz Communication With Intelligent Switching

The advancement of hybrid free-space optical/radio frequency (FSO/RF) communication holds promise in improving link reliability and resilience against diverse weather conditions. However, the limited data rates of conventional RF bands, typically in the range of several Mbps, restrict the performance of high-speed wireless systems. To address this challenge, a Terahertz (THz) communication link is used to replace the conventional low-data-rate RF link and hybridize it with an FSO communication system to achieve fast data transmission. Specifically, a hybrid FSO/THz (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$0.14\,\text {THz}$</tex-math></inline-formula>/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$1550\,\text {nm}$</tex-math></inline-formula>) communication system is experimentally conducted and analyzed. Through experiments in a controlled foggy environment, a seamless data transmission of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$1.6\,\text {Gbps}$</tex-math></inline-formula> indoor environment over a distance of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$20\,\text {m}$</tex-math></inline-formula> is demonstrated. Moreover, to facilitate efficient decision-making between FSO and THz links, an intelligent switching strategy based on a deep neural network is implemented on field-programmable gate arrays (FPGAs) by incorporating the PYNQ framework. FPGAs offer a compact and energy-efficient solution, making them suitable for deploying machine learning models in resource-constrained environments. This approach ensures efficient link selection and maintains continuous connectivity without any outage.

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Publication Details

Journal
Journal of Lightwave Technology
Published
2025-08-11
DOI
https://doi.org/10.1109/jlt.2025.3597388
Citations
2
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
1.46
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article

Seamless Gbps Hybrid FSO/THz Communication With Intelligent Switching

Chong Han, Ke Liu, Zhi Chen, Weijun Gao
2 citations
Journal of Lightwave Technology
Optical Wireless Communication Technologies
1.46
article

Seamless Gbps Hybrid FSO/THz Communication With Intelligent Switching

Chong Han, Ke Liu, Zhi Chen, Weijun Gao
article en
2 citations

Abstract

The advancement of hybrid free-space optical/radio frequency (FSO/RF) communication holds promise in improving link reliability and resilience against diverse weather conditions. However, the limited data rates of conventional RF bands, typically in the range of several Mbps, restrict the performance of high-speed wireless systems. To address this challenge, a Terahertz (THz) communication link is used to replace the conventional low-data-rate RF link and hybridize it with an FSO communication system to achieve fast data transmission. Specifically, a hybrid FSO/THz (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$0.14\,\text {THz}$</tex-math></inline-formula>/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$1550\,\text {nm}$</tex-math></inline-formula>) communication system is experimentally conducted and analyzed. Through experiments in a controlled foggy environment, a seamless data transmission of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$1.6\,\text {Gbps}$</tex-math></inline-formula> indoor environment over a distance of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$20\,\text {m}$</tex-math></inline-formula> is demonstrated. Moreover, to facilitate efficient decision-making between FSO and THz links, an intelligent switching strategy based on a deep neural network is implemented on field-programmable gate arrays (FPGAs) by incorporating the PYNQ framework. FPGAs offer a compact and energy-efficient solution, making them suitable for deploying machine learning models in resource-constrained environments. This approach ensures efficient link selection and maintains continuous connectivity without any outage.

Journal of Lightwave TechnologyVol. 43(19)
University of Electronic Science and Technology of China (CN), Shanghai Jiao Tong University (CN), Shanghai Research Center for Wireless Communications (CN)
Affordable and clean energy
Openalex Percentile: Top 16%
Optical Wireless Communication Technologies
1.46
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