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

## TL;DR

This paper introduces a secure radio-over-fiber system using compressive sensing and chaotic encryption to improve spectrum efficiency and prevent eavesdropping.

## Contribution

A novel RoF system combining compressive sensing and chaotic encryption for high spectrum efficiency and enhanced security.

## Key findings

- An 8 Gbit/s RoF system was demonstrated with 10 km optical fiber and 20 GHz RF transmission.
- The system achieved a structural similarity index of 0.952 for legitimate users and 0.073 for eavesdroppers.
- Compression and 6-bit quantization maintained signal quality while improving security and efficiency.

## Abstract

With the increasing demand for high throughput and ultra-dense small cell deployment in the next-generation communication networks, spectrum resources are becoming increasingly strained. At the same time, the security risks posed by eavesdropping remain a significant concern, particularly due to the broadcast-access property of optical fronthaul networks. To address these challenges, we propose a high-security, high-spectrum efficiency radio-over-fiber (RoF) system in this paper, which leverages compressive sensing (CS)-based algorithms and chaotic encryption. An 8 Gbit/s RoF system is experimentally demonstrated, with 10 km optical fiber transmission and 20 GHz radio frequency (RF) transmission. In our experiment, spectrum efficiency is enhanced by compressing transmission data and reducing the quantization bit requirements, while security is maintained with minimal degradation in signal quality. The system could recover the signal correctly after dequantization with 6-bit fronthaul quantization, achieving a structural similarity index (SSIM) of 0.952 for the legitimate receiver (Bob) at a compression ratio of 0.75. In contrast, the SSIM for the unauthorized receiver (Eve) is only 0.073, highlighting the effectiveness of the proposed security approach.