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Performance improvement of coherent optical chaos communication using probabilistic shaping
Optics Letters
|February 15, 2023
Summary
Probabilistic shaping significantly enhances coherent optical chaos communication performance by reducing bit-error ratio (BER) and improving tolerance to synchronization errors. This enables higher transmission rates for 16-ary quadrature amplitude modulation (QAM) signals.
Area of Science:
- Optics and Photonics
- Communications Engineering
- Information Theory
Background:
- Coherent optical chaos communication systems are being explored for secure and high-speed data transmission.
- Probabilistic shaping is a technique used to optimize signal constellations in digital communications.
Purpose of the Study:
- To numerically investigate the impact of probabilistic shaping on the performance of coherent optical chaos communication.
- To quantify the improvements in bit-error ratio (BER) and transmission rate.
Main Methods:
- Numerical simulations were conducted to analyze the effects of varying probabilistic shaping factors.
- The study focused on 16-ary quadrature amplitude modulation (16-QAM) signals within a coherent optical chaos communication framework.
Main Results:
- Increasing the probabilistic shaping factor led to a decrease in the bit-error ratio (BER) for 16-QAM signals, with a predicted order-of-magnitude reduction for 10-GBd signals.
- Probabilistic shaping relaxed the stringent synchronization quality requirements for successful decryption, enhancing tolerance to residual synchronization errors.
- The transmission rate could be increased by approximately 30-60% due to improved synchronization tolerance.
- A trade-off was observed, as probabilistic shaping narrowed the valid masking coefficient range.
Conclusions:
- Probabilistic shaping offers substantial performance improvements for coherent optical chaos communication systems.
- The technique enhances BER performance and system robustness against synchronization errors, facilitating higher data rates.
- While beneficial, the narrowed masking coefficient range presents a design consideration for system implementation.
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