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Secure RoF system based on key nested polar code and feedback neural network.

Yaoqiang Xiao, Tian Xie, Zhiyi Wang

|January 5, 2024

Summary

This summary is machine-generated.

A novel secure radio-over-fiber system uses nested polar codes and a feedback neural network (FNN) for enhanced 6G information security. This approach improves received optical power gain and resists various cyberattacks.

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Area of Science:

Information Security
Telecommunications Engineering
Coding Theory

Background:

The advent of 6G networks necessitates advanced information security solutions.
Radio-over-fiber (RoF) systems are crucial for high-speed data transmission.
Existing security measures in RoF systems require enhancement for future networks.

Purpose of the Study:

To propose a secure RoF system leveraging key nested polar codes and feedback neural networks (FNN).
To enhance information security in 6G communication systems.
To improve the performance of RoF systems in terms of error correction and power efficiency.

Main Methods:

Implementation of a key nested polar code with chaotic encryption for information bits.
Utilizing a 4-D cellular neural network to generate chaotic sequences for encryption.
Employing orthogonal frequency division multiplexing (OFDM) and 16-QAM for signal modulation.
Using successive cancellation list (SCL) and FNN decoders for efficient data recovery.

Main Results:

The proposed system demonstrates significant received optical power (ROP) gain compared to existing schemes (1.2-1.6 dB at 10^-3 bit error rate).
Achieved ROP gain of approximately 1 dB over traditional OFDM with polar codes.
Validated the security of the chaotic key sequence against brute-force and chosen-plaintext attacks.

Conclusions:

The proposed secure RoF system effectively enhances information security for 6G networks.
The system achieves superior performance in terms of error correction and signal reception.
The integration of nested polar codes and FNN offers a robust solution for secure optical wireless communication.