scholarly journals AI-Based Modeling and Monitoring Techniques for Future Intelligent Elastic Optical Networks

2020 ◽  
Vol 10 (1) ◽  
pp. 363 ◽  
Author(s):  
Xiaomin Liu ◽  
Huazhi Lun ◽  
Mengfan Fu ◽  
Yunyun Fan ◽  
Lilin Yi ◽  
...  
Keyword(s):  
Optical Networks ◽  
Performance Monitoring ◽  
Recent Progress ◽  
Optical Network ◽  
Data Driven ◽  
High Definition ◽  
Optical Performance Monitoring ◽  
Monitoring Tools ◽  
Quality Of Transmission

With the development of 5G technology, high definition video and internet of things, the capacity demand for optical networks has been increasing dramatically. To fulfill the capacity demand, low-margin optical network is attracting attentions. Therefore, planning tools with higher accuracy are needed and accurate models for quality of transmission (QoT) and impairments are the key elements to achieve this. Moreover, since the margin is low, maintaining the reliability of the optical network is also essential and optical performance monitoring (OPM) is desired. With OPM, controllers can adapt the configuration of the physical layer and detect anomalies. However, considering the heterogeneity of the modern optical network, it is difficult to build such accurate modeling and monitoring tools using traditional analytical methods. Fortunately, data-driven artificial intelligence (AI) provides a promising path. In this paper, we firstly discuss the requirements for adopting AI approaches in optical networks. Then, we review various recent progress of AI-based QoT/impairments modeling and monitoring schemes. We categorize these proposed methods by their functions and summarize advantages and challenges of adopting AI methods for these tasks. We discuss the problems remained for deploying AI-based methods to a practical system and present some possible directions for future investigation.

scholarly journals Feature Selection

2019 ◽  
Author(s):  
Qasem Al-Tashi
Keyword(s):  
Optical Networks ◽  
Bit Error Rate ◽  
Optical Network ◽  
Dynamic Network ◽  
Optical Signal ◽  
Wavelength Assignment ◽  
Light Path ◽  
Physical Impairments ◽  
Quality Of Transmission

This study reviews two different problems of routed wavelength assignment optical network which are; static network RWA in this type the connection requests already given in advance, and dynamic network RWA where the requests of connection randomly arrived. Furthermore, this study reviews the classifications of RWA problem in optical networks that can be classified as: first, pure RWA which focus on establishing the light path under a hypothesis of the physical layer. Second, as a propagated optical signal through a light path to the destination in the optical network, and because there is no regeneration of signal the quality of signal decreased, thus the Bit Error Rate will be increased. Therefore, the physical impairments should be considering and during the establishment of the light-path, the light-paths quality should be checked. Moreover, the integrated quality of transmission aware and RWA has been reviewed in this study and classified into two categories which are; direct and indirect modeling. Finally, a summarization of related researches on integrated of transmission aware and RAW has been stated.

Monitoring Devices for Providing Network Intelligence in Optical Packet Switched Networks

2013 ◽  
pp. 73-103
Author(s):  
Ruth Vilar ◽  
Francisco Ramos
Keyword(s):  
Performance Monitoring ◽  
Optical Packet Switching ◽  
Optical Performance Monitoring ◽  
Switched Networks ◽  
All Optical ◽  
Optical Layer ◽  
Network Intelligence ◽  
Control And Management ◽  
Monitoring Devices

The development of all-Optical Packet Switching (OPS) networks brings about new challenges in the topic of Optical Performance Monitoring (OPM). The objectives of this chapter are addressed to the proposal of new monitoring techniques capable of packet-by-packet monitoring in the optical domain to preserve packet transparency. Moreover, new optical layer functionalities such as dynamic reconfiguration and link level restoration also introduce a level of complexity that may require advanced OPM capabilities. In this chapter, an OSNR monitoring technique and its application for providing network intelligence are explained in detail. In particular, the integration of the monitoring system with the control and management planes is investigated to perform other functions such as quality of service implementation, OSNR-assisted routing, and backup route selection.

Research on CLIB Routing and Spectrum Allocation Algorithm in Elastic Optical Networks

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Li Li ◽  
Zhai Ya-Fang ◽  
Li Hong-Jie
Keyword(s):  
Optical Networks ◽  
Blocking Probability ◽  
Rapid Development ◽  
Optical Network ◽  
Spectrum Allocation ◽  
Mobile Internet ◽  
High Definition ◽  
Allocation Algorithm ◽  
High Bandwidth ◽  
Routing And Spectrum Allocation

AbstractWith the rapid development of mobile Internet, high-definition video and cloud computing, users’ bandwidth demands are not only larger and larger but also more and more diverse. To solve this problem, there searchers put forward the concept of elastic optical network (EON). EON adopts the transmission mode of elastic grid, which can allocate spectrum resources flexibly and meet high bandwidth and diversity requirements at the same time. Routing and spectrum allocation (RSA) is an important issue in EON. In this paper, we present a heuristic algorithm named constrained-lower-indexed-block (CLIB) allocation algorithm for the RSA problem. The algorithm is based on the K candidate paths. When there are available spectrum blocks on multiple candidate paths, if the increase of the path length does not exceed a given threshold, the lower index spectrum would be selected for the connection request on a longer path. The aim of the algorithm is to concentrate the occupied frequency slices on one side of the spectrum and leave another side of the spectrum to the later arrived connection requests as much as possible, to reduce the blocking probability of connection requests. Simulation results show that comparing with the first-last-fit and hybrid grouping algorithms, the CLIB algorithm can reduce the blocking probability of connection requests.

Sign in / Sign up

Export Citation Format

Share Document