Nonlinear Channel Equalization via Reservoir Computing with Delayed Optical Feedback Semiconductor Nanolasers

Nonlinear channel equalization is a key technology for reducing signal distortion and ensuring reliable data transmission. This work presents nonlinear channel equalization using a nanolaser-based delayed optical feedback reservoir computing system. The symbol error rate (SER) is adopted to evaluate the performance of equalization. The results show that maintaining low external perturbation strengths on the nanolaser in the reservoir layer results in a low SER and improved system stability. Higher spontaneous emission enhancement factor and spontaneous emission coupling factor improve perturbation tolerance. However, the minimal SER is achieved with optimally chosen moderate values of spontaneous emission enhancement factor and spontaneous emission coupling factor, which is different from the observations in previous nanolaser-based delayed optical feedback reservoir computing systems.