Next Generation Optical Communication Systems

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Next-Generation Optical Communication Systems Photonics Laboratory Department of Microtechnology and Nanoscience (MC2) Chalmers University of Technology May 10, 2010 SSF project mid-term presentation Outline Background, motivation and goal Partners and organization Results and achievements Fibre Optic Communications Research Centre

Background, Motivation & Goal Optical bandwidth is becoming a scarce resource Need to develop much more spectrally efficient transmission (i.e. non binary formats) to meet the ever increasing capacity demands We can leverage techniques from wireless systems; adopted to much higher (hardware constrained) speed and to a nonlinear transmission channel (the fiber) Cross disciplinary effort involving two Chalmers groups with leading edge research We aim to generate essential knowledge & competence for next generations of optical communications systems, covering a wide range of application from < 1km datacom links (very cost sensitive) to Mm trunk multi Tb/s networks Co optimization of optical & electrical hardware and signal processing algorithms. (Ex. optical vs. electronic dispersion compensation).

Partners and Project Organization Partners Optical Communications Group, Microtechnology and Nanoscience, Chalmers () Communication Systems Group, Signals and Systems, Chalmers (Erik Agrell) External Swedish industry partners: Ericsson AB, Proximion AB, EXFO Sweden AB Work packages: WP1 WP2 WP3 Advanced modulation formats and coding Hardware and subsystems Signal characterization tools WP4 System evaluations

The People Researchers: Magnus Karlsson Erik Agrell [Guo Wei Lu] Henk Wymeersch Pontus Johannisson [Serdar Tan] Debarati Sen Bill Corcoran PhD students: Krzysztof Szczerba Martin Sjödin Ekawit Tipsuwannakul Lotfollah Beygi Johnny Karout

Notable Highlights to-date

Complex modulation formats need advanced measurement tools: Phase-sensitive all-optical sampling Pulsed pump in optical fiber based four wave mixing gate and cw LO provides high time resolution measurement capability of the complete optical field. Examples of constellation diagrams captured with 3 ps resolution

Non coherent systems Simpler, less powerful receivers compared with coherent counterpart

Transmission of 240 Gb/s dual-polarization D8PSK over 320 km in a 10 Gb/s DWDM system Demonstration of a record bit-rate (240 Gbit/s) differential format over a single wavelength D8PSK constellation Investigation of nonlinear effects in upgrade scenario Required OSNR for BER = 10-3 [db] 34 32 30 28 26 24 22 20 18 16 240 Gb/s PM-RZ-D8PSK 120 Gb/s SP-RZ-D8PSK 160 Gb/s PM-RZ-DQPSK 80 Gb/s SP-RZ-DQPSK -2 0 2 4 6 8 10 12 14 DWDM 100 G DWDM 200 G Single channel Launch power/ Ch./Pol [dbm] Opt. Power [db] 0-20 -40-60 Three configurations investigated D8PSK is less robust against fiber nonlinearities compared to DQPSK a) b) c) 100GHz 200GHz 1552 1554 1556 77GHz Demux filter 10 Gb/s signals 100GH z 100GHz 1552 1554 1556 1558 1554 1556 1558 Wavelength (nm)

Performance comparison of 120 Gb/s DQPSK-ASK versus D8PSK First direct comparison of 8-ary differential formats First nonlinear study of DQPSK-ASK The compared bit-rate is relevant for the forthcoming 100 GbE Input Output P L = 4 dbm P L = 8 dbm -3-4 RZ-DQP-ASK RZ-D8PSK Log 10 (Min.BER) -5-6 -7 P L = 4 dbm P L = 10 dbm P L = 10 dbm -8-9 160 240 320 400 480 Transmission distance [km] Either can be better over different reaches < 400 km: DQP-ASK > 400 km: D8PSK

0.9 Tb/s, 160 GBaud PM-D8PSK-OTDM transmission over 110 km Log 10 (BER) First D8PSK OTDM study Highly relevant to anticipated 400 GbE Transmission over a conventional link -2-3 -4-5 FEC threshold Dual pol. (0.88 Tbit/s) Log 10 (BER) -2-3 -4-5 -6-7 -8-9 Back to back performance 8 db 40 Gbaud RZ-D8PSK FEC threshold 160 Gbaud OTDM-D8PSK -10 20 25 30 35 40 45 50 OSNR [db] Successful transmission (BER <10-3 ) over 220 km (0.44 Tbit/s single polarization) -6 110 km -7 4 6 8 10 12 14 Launch Power [dbm] Single pol. (0.44 Tbit/s) 110 km (0.88 Tbit/s dual polarization) Performance limited by cross- & self-phase modulation

Sensitivite modulation formats for IMDD applications The signal space in IMDD links is a 3-dimensional cone if an electrical subcarrier is used: Φ 3 Cosine component of the subcarrier Φ 2 Sine component of the subcarrier Φ 1 Symbol bias Modulation format optimization in the available signal space: [Patent pending] 4-level 8-level 16-level

Experimental results for IMDD links OOPSK (on-off phase shift keying) a new format with 2 db improvement over QPSK subcarrier modulation and 0.6 db over OOK. 5 Gbit/s Adaptively biased star-shaped 8- QAM and an optimized 8-level format with 1dB and 2 db improvement over subcarrier 8- QAM, respectively. 7.5 Gbit/s

Coherent systems and receivers Signal in Tunable Laser (Pulsed or CW) optical hybrid X-I X-Q Y-I Y-Q ADC ADC ADC ADC Data processing

Self-homodyne coherent transmission In self-homodyne systems, a co-propagating pilot tone in the orthogonal polarization state is used as phase reference in the receiver instead of a local oscillator laser. DSP in the receiver not required Lasers with broad linewidth can be used y Not compatible with pol-multiplexing x Zipper multiplexing scheme can be used to obtain high spectral efficiency in self-homodyne coherent systems, with a very low complexity receiver. [Patent pending] y x

Measured results with 10 GBaud QPSK DWDM signals over 200 km link Back-to-back BER vs. OSNR Required OSNR vs. spectral efficiency ID: intradyne; SH: self-homodyne Further improvement expected with adequate pre-filtering od the signals

16-QAM transmitter using cascaded in-phase/quadrature modulators driven by binary electrical signals Measured 40 Gbaud 16-QAM signal Simple approach with existing hardware that can be scaled further

Polarization Demultiplexing using Independent Component Analysis Probability to not have converged Track polarization state, compensate PMD CMA CMA without singular cases ICA Commonly used algorithm Constant Modulus Algorithm (CMA) Proposed method Independent Component Analysis (ICA) Proposed Method Converges always Shows faster convergence Number of processed symbols

Phase Tracking for 16-QAM Phase Tracking: Synchronize signal and LO phases Estimator variance Viterbi & Viterbi (M=64) Method from * with M=64 Phase tracking requires: Sufficiently high SNR Low laser linewidth Proposed Method Tolerates high laser linewidth but requires increased SNR Performance improves by using both polmux channels *M.Seimetz, OFC2008, OTuM2(2008).

Clock recovery in coherent receivers The goal of clock recovery is to estimate optimal sampling times We have investigated the impact of SPM on the accuracy of estimation Cramér-Rao Bound (CRB): Lower bound on error variance of any unbiased estimator estimation variance gap CRB, which shows optimal algorithm performance, derived for first time for optical links. There is a large gap in performance: Better algorithms can be developed! input power [dbm]

Which modulation format is most sensitive in 2d and 4d? Formats are usually compared by plotting the inherent trade off between sensitivity and spectral efficiency (SE). What is the best (=most sensitive) we can do with maintained complexity (dimensionality)? M. Karlsson and E. Agrell, Opt Exp. 17, pp. 10814 (2009) Simulations of all formats < 32 points in 4d constellation space. An 8-point constellation is overall best (1.76 db better than BPSK) in 4d. It is known as polarization-switched QPSK, PS-QPSK.

The PS-QPSK format experimental verification M. Sjödin et al, Opt Exp. 19, pp. 7839 (2011) PS-QPSK format transmits 3 bits per symbol, and can be generated by QPSK and a polarization selection. It gains 1 db over PM- QPSK @BER=0.001 First experimental verification!

Multilevel coded modulation (MLCM) By co-optimizing modulation and coding, one can obtain: higher power efficiency, a simple, flexible multistage receiver, and capacity-achieving systems. Results: A new design method for MLCM with Reed-Solomon codes An MLCM system for transmission with nonlinear phase noise After equalization After transmission Block error rate Example: 16 QAM penalized by nonlinear impairments over 5 6000 km transmission Transmit power

Dissemination 18 journal papers (1 invited) 24 conference presentations (8 invited) 1 book chapter 3 Licentiate theses (L. Beygi, M. Sjödin, E. Tipsuwannakul) 2 patent applications Inauguration of the FORCE Center of Excellence at Chalmers along with a workshop in May 2010

Future plans WP1: Advanced modulation and coding Coded modulation optimized for more realistic fiber transmission systems Estimation methods based on training sequences for phase/polarization tracking & timing recovery WP2: Hardware and subsystems Novel modulation formats, e.g. pulse-position modulation combined with PS-QPSK Novel concepts for dispersion and nonlinearity mitigation, e.g. so-called factor graphs WP3: Signal characterization tools Quantify DSP-based carrier recovery performance (coherence, noise) by benchmarking with self-homodyne method Parallelized real-time optical sampling for high bandwidth signal characterization WP4: System evaluations Evaluation of ultralow noise, phase-sensitive amplifiers in real transmission links Adaptive optical networks; Channel estimation & optical performance monitoring