Optical signal processing in future broadband dynamic optical networks

Lead Research Organisation: University College London
Department Name: Electronic and Electrical Engineering

Abstract

Communication Networks form the basis of our modern information age providing efficient transfer of information around the globe. Communications networks are akin to the transportation system where optical fibres form the roads and network nodes are equivalent to the traffic light controlled junctions. Optical fibre technology has revolutionised networks by providing high capacity point-to-point links - the autobahns of the transportation system. However these are currently still interconnected with nodes based on limited speed electronic processing which become bottlenecks in the system. The solution to this problem is to introduce high capacity optical processing into the network to replace the current electronic processing. This will result in a flexible network that is able to respond (dynamically) to changes in traffic and demand. It will be more scalable as the nodes only have to deal with traffic destined for that node, all other traffic is bypassed in the optical domain.The two major obstacles to implementing the required dynamic optical networks are the management of the optical signal distortions that arise in these networks and implementation of efficient optical switches. Signal distortions that lead to errors are more problematic in dynamic optical networks because the signal remains in the optical domain, accumulating distortions and noise throughout the optical network. This is in contrast to current networks where the signal is converted to the electronic domain at every node for processing and error correction before re-transmission. Additionally in a dynamic optical network these distortions depend on the route that the signal takes through the network. In order to ensure error free transmission of the optical signals it is necessary to periodically correct for these distortions in the optical domain using a technique known as optical regeneration. Optical switches are used to control the routing of information in the optical domain through the network in order to ensure it reaches the intended destination without the need for conversion into the electronic domain.All optical processing technologies, specifically optical regeneration and the ability to change the wavelength of the optical signal (tunable wavelength conversion), can be used to compensate for the distortion and implement optical switching. In this proposal I consider both functionalities as the particular implementation exploits the same physical processes in nonlinear optical devices. The major aim of this fellowship is the identification and verification of suitable optical technologies for optical processing in dynamic optical networks. This will be achieved through the development of an advanced characterisation technique to assess potential optical devices (including novel materials) and the implementation of an experimental dynamic network test-bed combined with a modelling framework. This test-bed is designed to be independent of the particular network architecture so that the research focuses on solving the principle physical issue of mitigating the increased and variable levels of signal distortion that arise in dynamic networks. The multi-channel test-bed will operate at a bit rate of 40Gbit/s and is designed to emulate signal distortions present in a real dynamic network with reconfiguration times ranging from milliseconds to nanoseconds. The aim of the test-bed will be to enable the investigation and testing of these optical subsystems both independently and together to evaluate both the individual performance and interoperability of these.In summary this research proposal explores the requirements and performance limits of optical processing in dynamic networks. It combines the characterisation of potential optical devices with system modelling and experimental verification in a realistic network scenario in order to assess the suitability, performance and requirements of these devices in dynamic networks.

Publications

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Baker-Meflah L (2010) Multi-Impairment WDM Optical Performance Monitoring for Burst Switched Networks in Journal of Lightwave Technology

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Cao B (2011) Performance of an optical equaliser in a 10Gbit/s wavelength converting optical access networks in European Conference on Optical Communication, ECOC

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Delgado Mendinueta J (2011) Digital Lightwave Receivers: An Experimentally Validated System Model in IEEE Photonics Technology Letters

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Gavioli G (2007) Cascadability Properties of Optical 3R Regenerators Based on SOAs in Journal of Lightwave Technology

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Maher R (2012) Fast switching burst mode receiver in a 24-channel 112Gb/s DP-QPSK WDM system with 240km transmission in National Fiber Optic Engineers Conference, NFOEC 2012

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Maher R (2012) Fast wavelength switching 100Gb/s burst mode transceiver for coherent metro networks in 2012 International Conference on Photonics in Switching, PS 2012

 
Description Identification of the optimum regenerator spacing and limits on the number of optical regenerators in a network with cascaded SOA based regenerators. We showed that the signal quality in 10Gb/s systems can be maintained for spacing of up to 600km over distances of up to 20,000km and up to 100 cascaded regenerators in the link.

Development of digital burst mode receivers (DBMRx) for 10Gb/s intensity modulated systems that provide burst mode clock and data recovery and also compensate for the impairments that are introduced by dynamic network operation. The initial DBMRx design provided a dynamic range of 7dB which was adequate to accommodate the burst-to-burst power fluctuations that arise path histories in core networks, however, access networks require 15dB. The dynamic range was significantly extended by either including an SOA based equaliser extending the dynamic range to 16.5dB or employing clipping in the digitizer providing a dynamic range of 14.5dB. We have also developed a multi-rate DBMRx for access network applications that is able to support upstream burst mode transmission of both legacy 1.25Gb/s and future 10Gb/s customers on the same network.

Adaptive equalisation in the DBMRx to relax the requirements on the optical amplifiers in a dynamic network was shown to provide a six-fold reduction in the amount of additional optical feedback required to suppress cross gain modulation at each amplifier. This improvement allows for both an increase in the span length, by 39% for a 25-node network, and the maximum number of hops.

From the perspective of the upper network layers the performance of a dynamic network depends on the traffic loading and packet error rate (PER). A dynamic network test bed that allows for variable traffic loading and burst power was developed along with the processing required to estimate the PER. We show that a burst/packet header overhead of 0.1% on a 1.63us packet is sufficient to ensure a PER less than 1x10-3 over the full dynamic range of the DBMRx and that the performance is not impacted by the variation in traffic load.

Burst mode transmitters and receivers for 100Gb/s coherent transmission. We have developed techniques to characterise the switching time and linewidth under dynamic operation and developed a burst mode coherent receiver that uses physically realisable DSP algorithms based on parallel processing and provides burst recovery times less than 200ns.
Exploitation Route The development of fast wavelength tuning lasers and burst mode receivers and DSP algorithms to support these systems is starting to be used in next generation Software Defined Optical Networks and has the potential to offer a route to all optical circuit switching to meet the increasing bandwidth demands that are found in data center networks.
Sectors Digital/Communication/Information Technologies (including Software)

URL https://research.ee.ucl.ac.uk/ong/group-research/dynamic-optical-networks-arf
 
Description Aspects of the work on fast wavelength tuning lasers and burst mode receivers is now been utilised within an industrial research project to develop a next generation data centre network infrastructure at Microsoft Research Cambridge
First Year Of Impact 2015
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Economic

 
Description EPSRC
Amount £527,233 (GBP)
Funding ID EP/J008842/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 06/2012 
End 06/2016
 
Description Microsoft Research PhD Scholarship
Amount £71,650 (GBP)
Organisation Microsoft Research 
Department Microsoft Research Cambridge
Sector Private
Country United Kingdom
Start 09/2016 
End 09/2019