Cognitive dynamic optical networks pdf

Next generation flexible and cognitive heterogeneous optical. For these scenarios, search algorithms and optimization theory are key elements of the ai area, and thus, they have been extensively used in optical network design and control for a long time. Jun 18, 2019 this paper proposes deeprmsa, a deep reinforcement learning framework for routing, modulation and spectrum assignment rmsa in elastic optical networks eons. Multiwavelength optical networks, second edition updated and expanded, this second edition of the acclaimed multiwavelength optical. Optimization optimizing provider networks for affordability, access, and quality. Not only are cognitive networks able to sense current network conditions and act according to them. To test the operation of cognitive algorithms in real time, we created the first operational testbed of a cognitive optical network based on the cognitive heterogeneous reconfigurable optical. Compressive sensing has been proposed as a lowcost solution for dynamic wideband spectrum sensing in cognitive radio networks to speed up the acquisition process and minimize the hardware cost 20.

Cognitive algorithm using fuzzy reasoning for software. In the context of sdn over optical networks, a correct mapping of the underlying topology at the control plane level is crucial. This tutorial addresses the questions of why and how machine learning ml can be useful in multilayer optical networks. These new computer systems typically have as a characteristic a very large number of users, possibly mobile, with a support of heterogeneous networks and a great variety of requirements and dynamic traffic profiles where the nphard resource allocation problem is one of the focuses of research. These networks serve uninterruptedly multitude of users at the expense of considerable power consumption. This paper focuses on the minimization of energy consumption in ethernet pons epons. Survivable deployments of optical sensor networks against. The envisioned cognitive communications capabilities can be generally categorized into cognitive links, cognitive networks, and cognitive systems and are described in the following sections ref. Css algorithms for cognitive radio cr networks based on machine.

Introduction the advent of dynamic optical networks demands constant agility and configurability in response to traffic and fault handling1. The design of a cognitive optical network involves determining how the three aforementioned ingredients. The role of optical networks optical network segments are categorized with respect to the size of the area they cover. The concepts of flexible and cognitive optical networks are introduced and their key. This tutorial will address all of these questions and explain the technologies, architectures, and market trends for emerging optical networks.

Ieee wireless communications and networking conference 2019. Therefore, network operators are facing the challenge of supporting a. Thanks to loadadaptive network operation and dynamic optical routing in their approach. Pdf cognitive dynamic optical networks invited yabin ye. Quantum information science and technology qist in the context of. Osf repaf a dynamic and cognitive resource allocation. Best readings is a collection of books, articles, and papers on a featured topic.

Abstractin multidomain elastic optical networks with alien wavelengths, each. Longhaul core networks, also known as wide area networks wan or interchange carrier ixc public networks. On a system side, while optical channel modeling has always been complex, the recent adoption of coherent technologies 11 has made modeling even more dif. This book focuses on the next generation optical networks as well as mobile communication technologies. The first labeled the cognitive engine tries to find a solution or optimize a performance goal based. Request pdf cognitive dynamic optical networks invited the use of cognition is a promising element for the control of heterogeneous optical networks. Lorenzo, antonio caballero jambrina, idelfonso tafur monroy, yabin ye, andrzej tymecki, ioannis tomkos, marianna angelou, dimitrios klonidis, antonio francescon, domenico siracusa and elio salvadori. Roadms are reconfigurable and dynamic multidegree nodes, with singlewavelength granularity. Cognitive communications and networking technology infusion. Other tuning techniques such as manual search, gridsearch, and random.

After examining the motivation for dynamic optical networking, the remainder of the chapter presents implementation details. Applications of machinelearning in optical communications and. Oct 29, 2011 simulation and analysis results show that our proposed dynamic cognitive channel access control algorithm can maximize the throughput while keeping forced termination and blocking probabilities of sus requests under the desired constraints, which providing a solution to improve load balance among multipath in wireless mesh networks. Optical fiber network contributes such as big amount of bandwidth with less delay and drop, so can be used for fulfilling increasing needs.

These architectures show that cognition can be implemented in different dimensions, in terms of devices and protocol layers. A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Multistrategy dynamic spectrum access in cognitive radio networks. Proposal of brillouin optical time domain collider for dynamic. Proposal of dynamic subcarrier selection technique using csma. This includes an indepth look at centralized versus distributed controlplane architectures.

Repaf resource provisioning and allocation framework project proposes a new dynamic resource lsp, bandwidth and lambda fibre allocation solution computed nearly onthefly with autonomic and cognitive characteristics. Fiber capacity the first implementation of what has emerged as the optical network began on routes that were fiber limited. Within the cognitive communications project, there are other researchers working on waveforms and systems for adaptive coding and modulation, userinitiated services, and other technologies that will create more dynamic space links and dynamic sets of multiple space links at any given time. This article analyzes architectures and techniques of the optical networks with taking into account the cognitive methodology based on continuous cycle observeorientplandecideactlearn and. Introduction optical networks are nowadays becoming more heterogeneous, ranging from different types of services, switching paradigms to physical interfaces. The reader will find chapters on cognitive optical network, 5g cognitive wireless, lte, data analysis and natural language processing. Cognitive radio universal software hardware george eichinger mit lincoln laboratory lexington, massachusetts. Pdf this paper is proposing cognitive optical networks cognition as a new. A new cognitive radio based admission control method for. Reconfigurable optical add drop multiplexers roadms are key components of all optical networks. Spectrum management in cellular network using cognitive rof. We present an energyefficient, distributed dynamic bandwidth allocation dba algorithm able to power off the transmitter and receiver of an optical network unit onu when. Optical amplifier cognitive gain adjustment methodology. Challenges and solutions sorin tibuleac, roy bowcutt.

Dynamically reconfigurable opticalwireless backhaul. Joseph mitola iii, in cognitive radio communications and networks, 2010. As an initial transition from this relatively fixed environment, transport optical networks are becoming configurable. Jan 26, 2009 in order to fully exploit radio resources and enhance spectrum efficiency based on cognitive radio to wireless mesh networks, this paper proposes dynamic subcarrier selection technique and csmaca carrier sense multiple access with collision avoidance based mac layer protocol for wireless mesh networks. Furthermore, cognitive wireless networks advocates the concept of breaking up the cellular communication architecture by introducing cooperative strategies among wireless devices. Control plane schemes for dynamic transparent optical networks. The use of cognition is a promising element for the control of heterogeneous optical networks. Nasa grc research and engineering directorate 17 advanced rf technologies. Osa toward terabit autonomic optical networks based on a.

The proposal of this thesis is to use statistical algorithms in order to find potential patterns in the demands generated in the network. As a result, cognitive radio is often referred to as a cognitive radio system or a cognitive network. A machine learning approach for dynamic optical channel. Overview of optical networks the network as a cloud of information flows connecting different participants. Communications, networking, and signal processing new this best readings list is expected to provide several archival papers and special issues on the backhaulfronthaul and related networking, communication, and signal processing issues that are currently available. Moura u, garrich m, carvalho h, svolenski m, andrade a, margarido f, csar ac, conforti e, oliveira j 2015 sdnenabled edfa gain adjustment cognitive methodology for dynamic optical networks. Our proposal is to add the fcm algorithm to the sdon control. Dynamic spectrum access for cognitive radio networks. The main focus is on implementing a good solution for dynamic changing conversion algorithm which provides routing according to the resources available in the whole network. Ieee transactions on cognitive communications and networking. Cognitive dynamic optical networks invited request pdf.

It consists of directly acquiring a sparse signal in its compressed. The next stage in human machine coevolution cognitive computing is emerging from the shadows and rapidly impacting our professional and personal lives, illuminating a future where humans and machines will coexist to enable businesses to make faster and more informed decisions. Dynamic spectrum access in cognitive radio networks by thomas charles clancy iii dissertation submitted to the faculty of the graduate school of the university of maryland, college park in partial ful llment of the requirements for the degree of doctor of philosophy 2006 advisory commmittee. M1b cognitive optical networks continued m1c photonic sensorscontinued m1d novel active devicescontinued m1e sympsium. Transport optical networks today are typically quasistatic, with connections often remaining established for months or years.

Journal of optical communications and networking 5 10, a107a118, 20. The proposed hybrid r ecovery utilizes flexible optical network with reinforcement learning to recover ip fault for edge network. As networks grow in both capabilities and complexity, the concept of cognitive networks. The reader will find chapters on cognitive optical network, 5g cognitive wireless, lte, data ana. Spectrum management in cellular network using cognitive rof sandeep singh,ravi prakash shukla shiats, allahabad,india abstract.

A few of the most important reasons for migrating to the optical layer are described in this module. Artificial intelligence ai methods in optical networks. Not only are cognitive networks able to sense current network conditions and act according to them, but they also take into account the knowledge acquired through past experiences. The aim of cognition in optical networks is to introduce intelligence into the control plane that allows for autonomous endtoend performance optimization and minimization of required human intervention, particularly targeted at heterogeneous network scenarios. The cognitive unit is further separated into two parts as shown in the block diagram below. Cognitive wireless networks concepts, methodologies and. Following this requirement, a novel sdnbased costeffective topology discovery method, allowing transparent optical networks to automatically learn physical adjacencies between optical devices, is introduced in ref. Pdf application of artificial intelligence techniques in. Ieee wcnc is one of the main venues for researchers, industry professionals, and academics interested in the most advanced and recent contributions to wireless communications, especially regarding the design and development of wireless systems and networks. Architecture for cognitive networking within nasas future. Fiberoptic transmission networks efficient design and dynamic. Dynamic spectrum access is the process of increasing spectrum efficiency via the realtime adjustment of radio resources, such as via a process of local spectrum sensing, probing, and the autonomous establishment of local wireless connections among cognitive nodes and networks.

Distributed joint routing and dynamic spectrum allocation in cognitive radio ad hoc networks lei dingy tommaso melodiay stella batalamay michael j. The focus of the transactions will be on cognitive behaviors in all aspects of communications and network control, from the phy functions including hardware through. Spectrum efficiency an overview sciencedirect topics. The network can learn from these adaptations and use them to make future decisions, all. Dynamic spectrum access for cognitive radio networks priyangu shaya sarmah, j. This paper is proposing cognitive optical networks cognition as a new paradigm to address the increasing complexity of optical networks and provide an efficient autonomic as well as user. An overview on application of machine learning techniques in. A cognitive network observes, learns, and makes informed decisions based on its current status and knowledge about past decisions and.

Optical amplifier cognitive gain adjustment methodology for. The simplest type of networking scenarios that we can think of are deterministic, observable, static and completely known. Pdf cognitive dynamic optical networks invited yabin. Request pdf sdnenabled edfa gain adjustment cognitive methodology for dynamic optical networks we propose and experimentally validate an sdnenabled cognitive methodology for edfa gain. Professor william arbaugh, chair professor jonathan katz.

Network topology control for elastic optical networks. Performance monitoring techniques supporting cognitive. Intelligent network assisted by cognitive computing and. Martins added file repaf project poster vol 18 n 1. The adoption of ml techniques in the field of optical communication. Cognitive heterogeneous reconfigurable optical networks title authors proposalcontribution result cognitive dynamic optical networks i. The ieee transactions on cognitive communications and networking tccn is committed to timely publishing of highquality manuscripts that advance the stateoftheart of cognitive communications and networking research.

This paper is proposing cognitive optical networks cognition as a new paradigm to address the increasing complexity of optical networks and provide an efficient autonomic as well as usercontrolled network. The challenges of dynamic networking in the presence of optical bypass or in a multidomain environment are covered as well. Cognitive wireless networking is the key to success in handling the upcoming dynamic network configurations and exploiting this crossover to the fullest extent. Sdnenabled edfa gain adjustment cognitive methodology for. What are cognitive radio and dynamic spectrum access. Optical amplifier cognitive gain adjustment methodology for dynamic and realistic networks.

Duran, tamara jimenez, natalia fernandez, juan carlos aguado, ruben m. Intelligent wireless communications enabled by cognitive. In this paper, we extend our preliminary analysis exploring the cognitive methodology benefits for different and larger network topologies. The testbed experiments indicate, the recovery time is 20% of reroutingbased strategy for a heavyloaded network. Jayanthi abstract a radio in which the communication systems are conscious of their internal state and environment such as location and deployment of rf frequency spectrum at that location is known as cognitive radio. Deeprmsa learns the correct online rmsa policies by parameterizing the policies with deep neural networks dnns that can sense complex eon states. It 25 dec 2018 1 intelligent wireless communications enabled by cognitive radio and machine learning xiangwei zhou1.

University of valladolid, spain, technical university of denmark, huawei, germany orange labs poland, ait greece, createnet italy presented cognitive network. Next generation optical communication systems will have to transport a significantly increased. Introduction to optical networks 11 optical communication systems and networks properties of optical networks the performance of optical communication systems depends on several issues such as geographycal reach, network configuration and information features generally, the format or nature of transmission is digital in. Toshihiko ohba, shinichi arakawa, yuki koizumi, and masayuki murata, scalable. Apr 16, 2016 we propose a cognitive algorithm based on fuzzy cmeans fcm technique for the learning and decisionmaking functionalities of softwaredefined optical networks sdons. The well balanced 5gxhaul consortium of industrial and research partners with unique expertise and skills across the constituent domains of communication systems and networks.

Abstract machine learning ml for optical communication oc is certainly a hot. Sdon is a new optical network paradigm where the control plane is decoupled from the data plane, thus providing a degree of software programmability to the network. This seeks to reduce the likelihood of blockage due to fragmentation and provide a dynamic optical networks of the future. An energyefficient distributed dynamic bandwidth allocation. Multistrategy dynamic spectrum access in cognitive radio. They perform optical routing by removing or inserting one or more wavelengths propagating along the fiber, without converting them into electrical signals. Radiooverfibre rof is an optical communication technique based on the transmission of standard wireless radio signals though optical fibre in their native format. Many research efforts are aimed at reducing energy consumption in large. Yi yang 1, qinyu zhang 1, ye wang 1, takahiro emoto 2, masatake akutagawa 2, shinsuke konaka 2.

Towards cognitive optical networking toshihiko ohba january 2018. Some key concepts are illustrated by realistic usecases highlighting the challenges and requisites of adopting ml. Lorenzo, antonio caballero, idelfonso tafur monroy, yabin ye, andrzej tymecki, ioannis tomkos, marianna angelou, dimitrios klonidis, antonio francescon, domenico siracusa, and elio salvadori. The focus of the transactions will be on cognitive behaviors in all aspects of communications and network control, from the phy functions including hardware through the applications including architecture, and in all kinds of communication networks and systems regardless of type of traffic, transmission media, operating environment. Optical network drivers many factors are driving the need for optical networks. Spectrum sensing techniques for cognitive radio networks. Our recently proposed cognitive methodology for optical amplifier gain adjustment, that relies on casebased reasoning, showed optical signaltonoise ratio improvements over time demonstrating the cognition process regardless the deployed amplifier type. The rapid deployment of passive optical access networks pons increases the global energy consumption of networking infrastructure. Overview of the communications and intelligent systems. Osa cognitive methodology for optical amplifier gain.