Publications

Optimal Control of SOAs with Artifical Intelligence for Sub-Nanosecond Optical Switching

Published in IEEE/OSA Journal of Lightwave Technology (JLT), 2020

Abstract: Novel approaches to switching ultra-fast semiconductor optical amplifiers using artificial intelligence algorithms (particle swarm optimisation, ant colony optimisation, and a genetic algorithm) are developed and applied both in simulation and experiment. Effective off-on switching (settling) times of 542 ps are demonstrated with just 4.8% overshoot, achieving an order of magnitude improvement over previous attempts described in the literature and standard dampening techniques from control theory.

Recommended citation: C. W. F. Parsonson, Z. Shabka, W. K. Chlupka, B. Goh and G. Zervas, "Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching," IEEE/OSA Journal of Lightwave Technology (JLT), June 2020 https://ieeexplore.ieee.org/abstract/document/9124678

Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks

Published in Currently Under Peer Review, 2020

Abstract: Optical switching promises low power and latency networking for data centres, but requires a wideband, ultra-fast wavelength-tuneable source (WTS) at every node. We propose a hybrid WTS that uses two time-interleaved tuneable lasers, each gated by a semiconductor optical amplifier, where the performance of each device is optimised using artificial intelligence algorithms. We experimentally demonstrate a switching bandwidth of 6.05 THz (122×50 GHz) with stable switch times of 547 ps. The hybrid WTS scales well with respect to on-chip area and power consumption, and therefore constitutes the first demonstration of truly scalable ultra-fast optical switching.

Recommended citation: T. Gerard, C. W. F. Parsonson, Z. Shabka, P. Bayvel, D. Lavery and G. Zervas, "Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks," Currently Under Peer Review, May 2020