Optical Transport Network

About: Optical Transport Network is a research topic. Over the lifetime, 6055 publications have been published within this topic receiving 85783 citations.

Systems and methods for policy-based intelligent provisioning of optical transport bandwidth

Abstract: Policy-based, on-demand provisioning of optical transport bandwidth is disclosed. In one of many possible embodiments, a system is provided for policy-based, on-demand provisioning of optical transport bandwidth. The system includes a layer-specific operation support subsystem (OSS) configured to manage network elements that form a sub-network over an optical transport network. The optical transport network provides bandwidth-on-demand provisioning capabilities. The layer-specific OSS includes one or more predefined bandwidth provisioning policies. The layer-specific OSS is configured to selectively request on-demand provisioning of bandwidth on the sub-network based on the predefined bandwidth provisioning policies.

Intent defined optical network with artificial intelligence-based automated operation and maintenance

Abstract: Traditionally, the operation and maintenance of optical networks rely on the experience of engineers to configure network parameters, involving command-line interface, middle-ware scripting, and troubleshooting. However, with the emerging of newly B5G applications, the traditional configuration cannot meet the requirement of real-time automatic configuration. Operators need a new configuration way without manual intervention at an underlying optical transport network. To cope with this issue, we propose an intent defined optical network (IDON) architecture toward artificial intelligence-based optical network automated operation and maintenance against service objective, by introducing a self-adapted generation and optimization (SAGO) policy in a customized manner. The IDON platform has three key innovations including intent-orient configuration translation, self-adapted generation and optimization policy, and close-loop intent guarantee operation. Focusing specifically on communication requirements, the IDON uses natural language processing to construct semantic graphs to understand, interact, and create the required network configuration. Then, deep reinforcement learning (DRL) is utilized to find the composition policy that satisfies the requirement of intent through the dynamic integration of fine-grained policies. Finally, the deep neural evolutionary network (DNEN) is introduced to achieve the intent guarantee at the milliseconds level. The feasibility and efficiency are verified on enhanced SDN testbed. Finally, we discuss several related challenges and opportunities for unveiling a promising upcoming future of intent defined optical network.

A linear lightwave Benes network

Abstract: The authors consider linear lightwave networks with a single waveband that have N inputs, each with a transmitter, and N outputs, each with a receiver, interconnected by optical links, broadcast stars, and wavelength-independent 2*2 switches. The transmitters and receivers can tune to C different wavelengths. The authors describe a rearrangeably nonblocking network that is a modification of the Benes network and uses transmitters that are fixed tuned and switches with two states. The network uses (1+o(1))N/log/sub 2/(N/C) switches, which is shown to be nearly the minimum number. It is also shown that, if C=o(log N), then a rearrangeably nonblocking network requires (1+o(1))Nlog/sub 2/N switches even if the switches have more than two states. >

Price-points for components of multi-core fiber communication systems in backbone optical networks

Abstract: The communication capacity limit of conventional optical fiber is being approached, and spatial multiplexing on strands of optical fiber is being pursued because of its potential to significantly increase the capacity of optical transmission systems and networks. Here, we estimate price-points under several scenarios for some of the critical enabling components of potential ultra-high-capacity optical fiber transmission systems based on multi-core fibers. For the input parameters and scenarios considered-including the case when the existing conduit is exhausted, we find the modeled price-point of multi-core fiber to be in the range 0-15% higher than the price of fiber ribbon cable. We also illustrate how larger increases in the value (price-point) of future network elements can occur if the efficiencies of installation are substantially improved.

IP/MPLS-over-OTN-over-DWDM Multilayer Networks: An Integrated Three-Layer Capacity Optimization Model, a Heuristic, and a Study

Abstract: Multilayer network design has received significant attention in current literature. Despite this, the explicit modeling of IP/MPLS over OTN over DWDM in which the OTN layer is specifically considered has not been addressed before. This architecture has been identified as promising that bridges integration and interaction between the IP and optical layers. In this paper, we present an integrated capacity optimization model for network planning of such multilayer networks that consider the OTN layer as a distinct layer with its unique technological sublayer constraints. We develop a heuristic algorithm to solve this model for large networks. Finally, we provide a detailed numeric study that considers various cost parameter values of each layer in the network. We analyze the impact of each layer's cost parameter values on neighboring layers and overall network cost.