Radio waves carry both energy and information simultaneously. Nevertheless, radio-
frequency (RF) transmissions of these quantities have traditionally been treated separately …

Machine learning techniques relevant for nonlinearity mitigation, carrier recovery, and
nanoscale device characterization are reviewed and employed. Markov Chain Monte Carlo …

Nonlinear optical response of silica imposes a fundamental limit on the information transfer
capacity in optical fibers. Communication beyond this limit requires higher signal power and …

A Gaussian noise (GN) model, precisely accounting for an arbitrary frequency dependent
signal power profile along the link, is presented. This allows accurate evaluation of the …

In this paper, we review the historical evolution of predictions of the performance of optical
communication systems. We will describe how such predictions were made from the outset …

We review the modeling of inter-channel nonlinear interference noise (NLIN) in fiber-optic
communication systems, focusing on the accurate extraction of the NLIN variance, the …

In optical communications, sphere shaping is used to limit the energy of lightwaves to within
a certain value over a period. This minimizes the energy required to contain information …

This paper reviews the performance of optimized modulation formats in two, four, and eight
dimensions. We present performance (lower bounds) for higher dimensions by exploiting …

What is the maximum rate at which information can be transmitted error-free in fibre–optic
communication systems? For linear channels, this was established in classic works of …

Most of the digital data transmitted are carried by optical fibres, forming the great part of the
national and international communication infrastructure. The information-carrying capacity of …