Physical Layer Components, Architectures and Trends for Agile Photonic Layer Mesh Networking

Transcription

1 Physical Layer Components, Architectures and Trends for Agile Photonic Layer Mesh Networking Brandon C. Collings JDSU Optical Networks Research Lab Robbinsville, NJ USA ECOC, Sept. 23, 2009 Paper 6.7.2

2 Outline Advantages of Static ROADM Optical Mesh Networks The and Current Static Mesh Node Architectures Applications of Dynamic Optical Mesh Networks Node Architectures for Dynamic Mesh Networks Colorless ports Directionless ports 2

3 Advantages of Static ROADM Optical Mesh Networks Eliminate OEO at network junctions Considerable cost, complexity and maintenance savings Flexible wavelength topology enables efficient capacity growth Most efficient routes can be selected Extends lifetime of system Add new connectivity via unused degrees as needed Parallel spans, spurs, extensions, ring interconnects Maintains in-situ HW and management 3

4 The Wavelength Selective Switch () 1xN port device Independently routes each channel to one of N ports Attenuate and block channels independently Optically bi-directional wavelength Wavelength Selective Switch () N ports 4

5 Typical Reconfigurable Ring Node Architecture selects outbound wavelength traffic s used to multiplex and demultiplex locally added and dropped channels Colored add/drop ports WEST EAST 5

6 Typical Reconfigurable Mesh Node Architecture NORTH WEST EAST SOUTH 6

7 Dynamic Optical Mesh Network Applications Photonic layer restoration Restoration complements higher layer protection to increase overall availability Relaxes urgency to repair fiber (OpEx argument and reliability increase) Some locations have limited access (disaster zone, subways, remote locations, undersea festoons) Reduces excess capacity allocated for protection contingencies (CapEx argument) Load Balancing Move existing traffic to relieve emerging bottlenecks Maintenance switching In-service wavelength bridge-and-roll around planned maintenance 7

8 Dynamic Optical Mesh Network Applications Photonic layer restoration Restoration complements higher layer protection to increase overall availability Relaxes urgency to repair fiber (OpEx argument and reliability increase) Some locations have limited access (disaster zone, subways, remote locations, undersea festoons) Reduces excess capacity allocated for protection contingencies (CapEx argument) Load Balancing Move existing traffic to relieve emerging bottlenecks Maintenance switching In-service wavelength bridge-and-roll around planned maintenance 8

9 Dynamic Optical Mesh Network Applications Photonic layer restoration Restoration complements higher layer protection to increase overall availability Relaxes urgency to repair fiber (OpEx argument and reliability increase) Some locations have limited access (disaster zone, subways, remote locations, undersea festoons) Reduces excess capacity allocated for protection contingencies (CapEx argument) Load Balancing Move existing traffic to relieve emerging bottlenecks Maintenance switching Move traffic away from area of planned maintenance 9

10 Dynamic Optical Mesh Switching Requires Optical network level features: Colorless add/drop ports Directionless add/drop ports 10

11 Colorless Add/Drop Ports Replace mux/demux s with s Wavelength assigned to each port is provisionable Applications Fewer physical ports present simplifying faceplate Operating wavelength can be remotely modified WEST EAST 11

12 NORTH EAST PS PS 1xN 1xM Add/Drop Bank 2 Directionless Add/Drop Ports WEST PS SOUTH PS 12 PS PS PS PS Add/Drop Bank 1

13 NORTH EAST Directionless Add/Drop Ports: NxM PS WEST PS PS SOUTH PS NxM 13 Add/Drop Bank 2 Add/Drop Bank 1

14 Summary Past and Present Optical mesh networks currently being deployed for efficient operations and capacity growth Present Applications leveraging the dynamic capabilities of the mesh network are emerging Future Mesh networks with colorless and directionless add/drop ports Network optimization must become multi-layer Leveraging the strengths of each layer Develop multi-layer management systems which can execute this optimization automatically and seamlessly 14

15 Thank You! Brandon C. Collings JDSU Optical Networks Research Lab Robbinsville, NJ USA