High-Speed Terahertz Modulation Signal Generation Based on Integrated LN-RMZM and CPPLN

With the increasing communication frequencies in 6G networks, high-speed terahertz (THz) modulation signal generation has become a critical research area. This study first proposes an on-chip high-speed THz modulation signal generation system based on lithium niobate (LN), which integrates a pair of racetrack resonator-integrated Mach–Zehnder modulators (RMZMs) with a chirped periodically poled lithium niobate (CPPLN) waveguide. The on-chip system combines near-infrared electro-optic modulation and cascaded difference-frequency generation (CDFG) for high-speed THz modulation signal generation. At 300 K, utilizing two input optical waves at frequencies of 193.55 THz and 193.14 THz, this on-chip system enables high-speed THz modulation signal generation at 0.41 THz, with a 1 Gbit/s modulation rate and a 0.25 V modulation voltage. During the simulation, when the intensity of the input optical waves is 1000 MW/cm2, the generated 0.41 THz signal reaches a peak intensity of 21.24 MW/cm2. Furthermore, based on theoretical analysis and subsequent simulation, the on-chip system is shown to support a maximum modulation signal generation rate of 7.75 Gbit/s. These results demonstrate the potential of the proposed on-chip system as a compact and efficient solution for high-speed THz modulation signal generation.

Authors

Institutions

Publication Details

Journal
Photonics
Published
2025-05-15
DOI
https://doi.org/10.3390/photonics12050490
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Speed Terahertz Modulation Signal Generation Based on Integrated LN-RMZM and CPPLN

Mingjun Xia, Wangzhe Li, Miao Ma, Xinlong Zhao et al.
Photonics
Photonic and Optical Devices
article

High-Speed Terahertz Modulation Signal Generation Based on Integrated LN-RMZM and CPPLN

Mingjun Xia, Wangzhe Li, Miao Ma, Xinlong Zhao, Hangyu Zhou, Chenwei Zhang, Weichao Ma
article en

Abstract

With the increasing communication frequencies in 6G networks, high-speed terahertz (THz) modulation signal generation has become a critical research area. This study first proposes an on-chip high-speed THz modulation signal generation system based on lithium niobate (LN), which integrates a pair of racetrack resonator-integrated Mach–Zehnder modulators (RMZMs) with a chirped periodically poled lithium niobate (CPPLN) waveguide. The on-chip system combines near-infrared electro-optic modulation and cascaded difference-frequency generation (CDFG) for high-speed THz modulation signal generation. At 300 K, utilizing two input optical waves at frequencies of 193.55 THz and 193.14 THz, this on-chip system enables high-speed THz modulation signal generation at 0.41 THz, with a 1 Gbit/s modulation rate and a 0.25 V modulation voltage. During the simulation, when the intensity of the input optical waves is 1000 MW/cm2, the generated 0.41 THz signal reaches a peak intensity of 21.24 MW/cm2. Furthermore, based on theoretical analysis and subsequent simulation, the on-chip system is shown to support a maximum modulation signal generation rate of 7.75 Gbit/s. These results demonstrate the potential of the proposed on-chip system as a compact and efficient solution for high-speed THz modulation signal generation.

PhotonicsVol. 12(5)
Zhejiang Sci-Tech University (CN), Chinese Academy of Sciences (CN), Aerospace Information Research Institute (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 91%
Photonic and Optical Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.