Enabling Secure High-speed Data Transmission: Coherent Chaotic Optical Communication With Deep Learning and Electro-Optic Feedback

Abstract

 Coherent chaotic optical communication represents a present-day technique for attaining excessive-pace, long-distance statistics transmission with first-rate protection. This approach combines deep-gaining knowledge of chaotic synchronization (DLM-CS) models with virtual-sign processing algorithms to counteract fibre transmission impairments, resulting in a sturdy and green communiqué device. Chaotic indicators are generated through electro-optic feedback, explicitly using Optical Intensity Chaos and Optical Phase Chaos (OIC), facilitated by Mach-Zehnder Modulator and Interferometer (MZM/MZI) modulators. Additionally, device getting to know-primarily based algorithms are hired to mitigate non-linearity in the communiqué channel. Performance analysis in this context encompasses Bit Error Rate (BER), lengthy-distance communication competencies, chaotic signal periodicity, chaos synchronization, and safety. This technique allows for steady, high-speed facts transmission over prolonged distances, making it an important era for numerous packages, which includes telecommunications and statistics safety.