Ultra-wideband Optical Fibre Transmission Systems

在高数据速率应用的驱动下，互联网流量呈指数级增长，使用现有技术，光网络的容量将很快耗尽。将需要新技术以经济有效地提供所需的每条光纤链路所需的每秒太比特或每秒五比特速率。在本博士课程中，通过使用超宽带信号，将光纤传输系统的容量扩大几个数量级。光放大器技术将被评估、建模并纳入高斯噪声和非线性效应，这些非线性效应会扭曲信号，包括自相位和交叉相位调制以及通道间受激拉曼散射。这将允许快速评估光纤非线性对信号质量、信号设计和发射功率优化的影响。DSP和机器学习技术将被开发和应用于减轻超宽带传输中的非线性失真。

Using current technologies, optical networks' capacity will soon be exhausted, as internet traffic continues to increase exponentially, driven by high data-rate applications. New technologies will be needed to cost-effectively provide the required Terabit per second or Pentabit per second rates per fibre link that will be needed. In this PhD, scaling of the capacity of optical fibre transmission systems by several orders of magnitude will be achieved through the use of ultra-wideband signals. Optical amplifier technologies will be assessed, modelled and incorporated on the Gaussian noise together with nonlinear effects which distort signals include self- and cross-phase modulation and inter-channel stimulated Raman scattering. This will allow rapid assessment of the impact of fibre nonlinearity on signal quality, signal design and launch power optimisation. DSP and machine learning techniques will be developed and applied to mitigate nonlinear distortion in ultra-wideband transmission.