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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
Published on: March 20, 2017
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Photonic-assisted integrated system for communication and sensing based on time-frequency division flexibly
Applied Optics
|March 17, 2026
Summary
This study introduces an integrated sensing and communication (ISAC) system using time-frequency-division hybrid multiplexing (TFDM). The novel TFDM signals enable flexible, high-speed communication and precise radar sensing in 5G/6G networks.
Area of Science:
- Wireless communication
- Signal processing
- Radar technology
Background:
- The convergence of communication and sensing is crucial for advanced 5G and 6G applications.
- Existing systems often face limitations in supporting diverse communication rates and sensing resolutions simultaneously.
Purpose of the Study:
- To propose a novel integrated sensing and communication (ISAC) system.
- To demonstrate a flexible time-frequency-division hybrid multiplexing (TFDM) approach for ISAC.
- To achieve simultaneous high-rate data transmission and high-resolution radar sensing.
Main Methods:
- Generation of TFDM signals by combining linear frequency modulation (LFM) and orthogonal frequency division multiplexing (OFDM) signals using inverse fast Fourier transform (IFFT).
- Dynamic allocation of carriers and time slots for LFM and OFDM components.
- Simulation and experimental verification in the W-band over a 10 km optical fiber link.
Main Results:
- Successfully realized communication data rates ranging from 15.9 to 47.8 Gbit/s.
- Achieved radar ranging resolutions from 7.5 cm down to 1.875 cm.
- Demonstrated the dynamic configurability of the TFDM signal for adaptable communication and sensing performance.
Conclusions:
- The proposed TFDM-based ISAC system effectively supports diverse communication rates and sensing resolutions.
- This integrated approach offers a promising solution for intelligent services in future wireless networks.
- The system's flexibility in resource allocation enhances its applicability across various scenarios.
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