Machine learning (ML) has disrupted a wide range of science and engineering disciplines in
recent years. ML applications in optical communications and networking are also gaining …

With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

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

Network modeling is a critical component for building self-driving Software-Defined
Networks, particularly to find optimal routing schemes that meet the goals set by …

Network models are an essential block of modern networks. For example, they are widely
used in network planning and optimization. However, as networks increase in scale and …

Space division multiplexing (SDM), as a potential means of enhancing the capacity of optical
transmission systems, has attracted widespread attention. However, the adoption of SDM …

Cloud-fog computing emerges to satisfy the low latency and high computation requirements
of Internet of Things (IoT) services. Elastic optical networks (EONs) are excellent substrate …

Network slicing enables an infrastructure provider (InP) to support heterogeneous 5G
services over a common platform (ie, by creating a customized slice for each service). Once …

The appropriate design of a vehicular ad hoc network (VANET) has become a pivotal way to
build an efficient smart transportation system, which enables various applications associated …

Network modeling is a fundamental tool in network research, design, and operation.
Arguably the most popular method for modeling is Queuing Theory (QT). Its main limitation is …