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Lecture: 9 Elastic Optical Networks

Lecture: 9 Elastic Optical Networks. Ajmal Muhammad, Robert Forchheimer Information Coding Group ISY Department. Outline. Motivation Elastic Optical Networking Flexible spectrum grid, tunable transceiver, flexible OXC Flexible Optical Nodes Routing and Spectrum Assignment Problem.

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Lecture: 9 Elastic Optical Networks

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  1. Lecture: 9 Elastic Optical Networks Ajmal Muhammad, Robert Forchheimer Information Coding Group ISY Department

  2. Outline • Motivation • Elastic Optical Networking • Flexible spectrum grid, tunable transceiver, flexible OXC • Flexible Optical Nodes • Routing and Spectrum Assignment Problem

  3. Research Motivation Emerging applications with a range of transport requirement Future applications with unknown requirements Flexible and efficient optical networks to support existing, emerging and future applications Courtesy: High performance network lab., Bristol

  4. Applications with Diverse Requirements Media Courtesy: High performance network lab., Bristol High-speed data 400G, 1Tb/s

  5. Evolution of Transmission Capacity

  6. BPSK QPSK 1 10 DP-QPSK DP-16QAM Relative optical reach with constant energy per bit Spectral efficiency (b/s/Hz) DP-64QAM 0.1 0.1 DP-256QAM TDM WDM @25 Gbaud DP-1024QAM 0.01 0.01 0 100 200 300 400 500 600 Multi-level mod. Bit rate per channel (Gb/s) PDM Multiplexing technology evolution Spectral Efficiency (SE) Improvement Fixed optical amplifier bandwidth (~ 5 THz) • Per fiber capacity increase has been accomplished through boosting SE (bit rate, wavelength, symbol per bit, state of polarization) Bit loading higher than that for DP-QPSK causes rapid increase in SNR penalty, and results in shorter optical reach SE improvement is slowing down, meaning higher rate data need more spectrum Optical amplifier bandwidth (~ 5 THz)

  7. Current Optical Networks :: Inflexible Super-wavelength Courtesy: High performance network lab., Bristol

  8. Current Solution for Bandwidth-Intensive Applications Optical virtual concatenation (OVC) for high capacity end-to-end connection (super-wavelength) Demultiplexthe demand to smaller ones such as 100 or 40 Gb/s, which can still fit in the fixed grid (Inverse multiplexing) Several wavelengths are grouped and allocated end-to-end according to the application bandwidth requirements Grouping occurs at the client layer without really affecting the network Connection over several wavelengths is not switched as a single entity in network nodes

  9. Elastic Optical Networking The term elastic refers to three key properties: The optical spectrum can be divided up flexibly Courtesy: Ori Gerstel, IEEE Comm. Mag. 2012

  10. Elastic Transceivers The transceivers can generate elastic optical paths (EOPs); that is path with variable bit rates Tunable transceiver Courtesy: Steven Gringeri, IEEE Comm. Mag. 2013

  11. Flexible Switching The optical nodes (cross-connect) need to support a wide range of switching (i.e., varying from sub-wavelength to super-wavelength) EONs WDM Networks Bandwidth Variable

  12. Drivers for Developing the EONs Support for 400 Gb/s, 1Tb/s and other high bit rate demands Disparate bandwidth needs: properly size the spectrum for each demand based on its bit rate & the transmission distance Tighter channel spacing: freeing up spectrum for other demands Reach vs. spectral efficiency trade-off: bandwidth variable transmitter can adjust to a modulation format occupying less optical spectrum for short EOP and still perform error-free due to the reduced impairments Dynamic networking: the optical layer can now response directly to variable bandwidth demands from the client layers

  13. Path length 1,000 km 1,000 km 1,000 km 250 km 250 km Bit rate 400 Gb/s 200 Gb/s 100 Gb/s 400 Gb/s 100 Gb/s Conventional design Fixed format, grid QPSK 200 Gb/s QPSK QPSK 16QAM 16QAM Elastic optical path network Adaptive modulation Elastic channel spacing Elastic Optical Path Network:: Example

  14. Outline • Motivation • Elastic Optical Networking • Flexible spectrum grid, tunable transceiver, flexible OXC • Flexible Optical Nodes • Routing and Spectrum Assignment Problem

  15. Common Building Blocks for Flexible OXCs

  16. Reconfigurable Optical Add-Drop Multiplexer (ROADM) Wavelength selective switch Optical splitter Add channels Drop channels

  17. Multi-Granular Optical Switching FXC: Fiber switch BTF: Band to Fiber BXC: Waveband switch WXC: Wavelength switch Add channels Drop channels

  18. Architecture on Demand (AoD) Courtesy: High performance network lab., Bristol MEMS switch is used to interconnected all the Input-output ports and switching devices Optical backplane cross-connections for AoD OXCs

  19. AoD Node Aimed to develop an optical node that can adapt its architecture according to the traffic profile and support elastic allocation of resources

  20. Flexible OXC Configuration Backplane implemented with 96x96 3D-MEMS Flexibility to implement and test several switch architectures on-the-fly Switching time 20ms Courtesy: High performance network lab., Bristol

  21. Outline • Motivation • Elastic Optical Networking • Flexible spectrum grid, tunable transceiver, flexible OXC • Flexible Optical Nodes • Routing and Spectrum Assignment Problem

  22. Routing and Spectrum Assignment (RSA) Spectrum variable (non-constant) connections, in contrast to standard WDM

  23. Planning Elastic/Flexgrid Networks Input: Network topology, traffic matrix, physical layer models Output: Routes and spectrum allocation RSA(RMLSA include also the modulation-level used – 2 flexibility degree: modulation and spectrum) • Minimize utilized spectrum and/or number of transponders, and/or… • Satisfy physical layer constraints

  24. Examples RMLSA RSA Courtesy: Ori Gerstel, IEEE Comm. Mag. 2012

  25. Cost-Efficient Elastic Networks Planning Using AoD Nodes Conventional ROADMs AoD ROADMs

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