High Spectrum Efficiency and High Security Radio-Over-Fiber Systems with Compressive-Sensing-Based Chaotic...

Area of Science:

• Optical Communications
• Signal Processing
• Network Security

Background:

• Next-generation communication networks face strained spectrum resources due to high throughput demands.
• Optical fronthaul networks present security vulnerabilities to eavesdropping.

Purpose of the Study:

• To propose a novel radio-over-fiber (RoF) system enhancing both security and spectrum efficiency.
• To address challenges of limited spectrum and eavesdropping risks in optical fronthaul.

Main Methods:

• Leveraging compressive sensing (CS)-based algorithms for data compression.
• Implementing chaotic encryption for enhanced security.
• Experimental demonstration of an 8 Gbit/s RoF system over 10 km fiber and 20 GHz RF transmission.

Main Results:

• Achieved high spectrum efficiency by compressing transmission data and reducing quantization bits.
• Demonstrated effective signal recovery with 6-bit quantization (SSIM of 0.952 for Bob).
• Showcased significant security enhancement, with unauthorized receiver (Eve) achieving a low SSIM of 0.073.

Conclusions:

• The proposed CS-based RoF system effectively enhances spectrum efficiency and security.
• The system maintains signal quality while providing robust protection against eavesdropping.
• This approach offers a viable solution for secure and efficient next-generation communication networks.