Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

Flexgrid technology is now considered to be a promising solution for future high-speed
network design. In this context, we need a tutorial that covers the key aspects of elastic …

Based on a variety of long-term network traffic data from different geographies and
applications, in addition to long-term scaling trends of key information and communication …

Abstract Deep Reinforcement Learning (DRL) has shown a dramatic improvement in
decision-making and automated control problems. Consequently, DRL represents a …

This paper proposes DeepRMSA, a deep reinforcement learning framework for routing,
modulation and spectrum assignment (RMSA) in elastic optical networks (EONs) …

Bandwidth fragmentation, a serious issue in elastic optical networks (EONs), can be
suppressed by proper management in order to enhance the accommodated traffic demands …

Empowered by the optical orthogonal frequency-division multiplexing (O-OFDM) technology,
flexible online service provisioning can be realized with dynamic routing, modulation, and …

Orthogonal frequency-division multiplexing (OFDM) is a modulation technology that has
been widely adopted in many new and emerging broadband wireless and wireline …

Recently, optical orthogonal frequency-division multiplexing technology has attracted
intensive research interest because spectrum-sliced elastic optical networks (EONs) can be …

Rigid fixed-grid wavelength division multiplexing (WDM) optical networks can no longer
keep up with the emerging bandwidth-hungry and highly dynamic services in an efficient …