Throughput and latency programmable optical transceiver by using DSP and FEC control

Area of Science:

• Optical communication systems
• Photonics and optoelectronics
• Signal processing

Background:

• Optimizing optical transceivers involves balancing multiple parameters like modulation format, symbol rate, and power allocation.
• The combinatorial complexity of these parameters hinders efficient optimization for diverse network requirements.
• Existing methods struggle to simultaneously address throughput, signal quality, and latency demands.

Purpose of the Study:

• To propose and demonstrate a programmable optical transceiver capable of simultaneous multi-parameter optimization.
• To develop a method for efficiently finding feasible parameter combinations, overcoming combinatorial explosion.
• To enable optical transceivers that adapt to varying requirements for throughput, signal quality, and latency.

Main Methods:

• Developed a precise analytical model to predict Bit Error Rate (BER) based on Optical Signal-to-Noise Ratio (OSNR), modulation formats, symbol rates, and power differences.
• Formulated parameter constraints and integrated them with the analytical model to identify optimal parameter sets.
• Implemented and experimentally validated the end-to-end transceiver operation, including Low-Density Parity-Check (LDPC) Forward Error Correction (FEC).

Main Results:

• Successfully demonstrated a proof-of-concept programmable optical transceiver.
• The proposed method effectively reduces the search space for optimal parameter combinations.
• Experimental validation confirmed the transceiver's ability to meet latency-sensitive application requirements over 40-km transmission.

Conclusions:

• The programmable optical transceiver offers a viable solution for optimizing complex optical communication systems.
• The integrated analytical model and constraint formulation efficiently identify feasible operating parameters.
• This approach enhances adaptability and performance for future optical networks, particularly for latency-critical applications.