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

In recent years, OFDM has been the focus of extensive research efforts in optical
transmission and networking, initially as a means to overcome physical impairments in …

Optical communication is developing rapidly in the directions of hardware resource
diversification, transmission system flexibility, and network function virtualization. Its …

This article discusses the technologies for realizing highly efficient data migration and
backup for big data applications in elastic optical inter-data-center (inter-DC) networks. We …

We propose a bi-directional gated recurrent unit neural network based nonlinear equalizer
(bi-GRU NLE) for coherent optical communication systems. The performance of bi-GRU NLE …

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

Elastic optical networks (EONs) are considered to be one of the promising future networks
for spectrum flexibility. In conventional wavelength-division multiplexing networks, routing …

The physical layer security of radio-over-fiber (RoF) system is a very important problem for
future communication. In this paper, a novel probabilistic shaping (PS) based constellation …

Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment
Agent for Elastic Optical Networks Page 1 W4F.2.pdf OFC 2018 © OSA 2018 Deep-RMSA: A …

There are many challengeable multiobjective optimization problems in different areas,
whose optimization objectives are usually diversionary. Decomposition methods and …