Networking Benefits of Advanced DSP Techniques

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Presentation transcript:

Networking Benefits of Advanced DSP Techniques Fotonica 2017 – 19a Edizione – convegno italiano delle tecnologie fotoniche May 3TH 2017 – padova Networking Benefits of Advanced DSP Techniques ALESSIO FERRARI* – Mattia cantono – Vittorio curri Optcom group – dipartimento di elettronica e telecomunicazioni Politecnico di torino – Italy – *alessio.Ferrari@studenti.polito.it www.optcom.polito.it

Application of advanced DSP technique Conclusion outline Motivations The baseline scenario Application of advanced DSP technique Conclusion alessio.ferrari@studenti.polito.it

Application of advanced DSP technique Conclusion outline Motivations The baseline scenario Application of advanced DSP technique Conclusion alessio.ferrari@studenti.polito.it

The traffic growth – cisco forecast Compound Annual Growth Rate (CAGR) Total IP Traffic: 22% alessio.ferrari@studenti.polito.it

Photonic switching – Power consumption 2/2 OEOs for  wavelength conversion and/or extension of reach occupying 50% of express ports ~ 65% of the power consumption is represented by regenerators for wavelength conversion and/or extension of reach Results from: Murakami, Makoto et al. "Power consumption analysis of optical cross-connect equipment for future large capacity optical networks" ICTON, 2009 alessio.ferrari@studenti.polito.it

Application of advanced DSP technique Conclusion outline Motivations The baseline scenario Application of advanced DSP technique Conclusion alessio.ferrari@studenti.polito.it

The Topologies alessio.ferrari@studenti.polito.it PAN-European Network USNET Network 28 Nodes 41 Links Average Node Degree: 2.93 Average Link Length: 637 km 24 Nodes 43 Links Average Node Degree: 3.58 Average Link Length: 308 km alessio.ferrari@studenti.polito.it

An any-to-any traffic matrix 200 Gbps Grooming Size Network parameters PAN-European Network USNET Network An any-to-any traffic matrix 200 Gbps Grooming Size RWA through k-shortest path with first fit wavelength allocation alessio.ferrari@studenti.polito.it

80 fix-grid WDM channels on the C-band Physical parameters Fiber: SSMF attenuation 0.2 dB/km, dispersion 16.7 ps/nm/km, 1.3 1/W/km EDFA noise figure 5 dB 80 fix-grid WDM channels on the C-band Raw symbol rate 32 GBaud, Net symbol rate 25 GBaud PM-16-QAM modulation, 200 Gbps per LP Target BER 4∙10-3, thus target OSNR 15.1 dB alessio.ferrari@studenti.polito.it

The LPs are allocated on the network The OSNR of each LP is computed OEO distribution The LPs are allocated on the network The OSNR of each LP is computed If it is below the target OSNR the LP is labelled as ULP OEOs are distributed along the ULPs to make the connection in-service OEOs are distributed based on the minimum stops algorithm alessio.ferrari@studenti.polito.it

The baseline 572 ULPs on 756 LPs (75.6%) 1108 OEO regenerators PAN-European Network USNET Network 572 ULPs on 756 LPs (75.6%) 1108 OEO regenerators 1.94 OEO per ULP on average 29 ULPs on 552 LPs (5.2%) 29 OEO regenerators 1 OEO per ULP alessio.ferrari@studenti.polito.it

Application of advanced DSP technique Conclusion outline Motivations The baseline scenario Application of advanced DSP technique Conclusion alessio.ferrari@studenti.polito.it

Target OSnr PS alessio.ferrari@studenti.polito.it

DSP In the Pan-European network 1/3 572 ULPs on 756 LPs (75.6%) 17%/dB 30%/dB alessio.ferrari@studenti.polito.it

DSP In the Pan-European network 2/3 1108 Regenerators 27.8% per dB alessio.ferrari@studenti.polito.it

DSP In the Pan-European network 3/3 1680 Tx/Rx 526 per dB alessio.ferrari@studenti.polito.it

DSP In the USnet network 1/3 29 ULPs on 552 LPs (5.2%) 111% per dB alessio.ferrari@studenti.polito.it

DSP In the USnet network 2/3 29 Regenerators 111% per dB alessio.ferrari@studenti.polito.it

DSP In the USnet network 3/3 58 Tx/Rx 32 per dB alessio.ferrari@studenti.polito.it

DSP In the USnet network PAN-European ΔOSNR OEO saving Number of Tx/Rx DBP 0.6 dB 238 (21.5%) 467 PS 0.7 dB 240 (21.7%) 469 USNET ΔOSNR OEO saving Number of Tx/Rx DBP 0.6 dB 23 (79%) 23 PS 0.7 dB 24 (83%) 24 alessio.ferrari@studenti.polito.it

Application of advanced DSP technique Conclusion outline Motivations The baseline scenario Application of advanced DSP technique Conclusion alessio.ferrari@studenti.polito.it

Conclusions and future works Also small ΔOSNR are capable to provide some improvement The USNET network is better performing due to the higher average node degree and lower average link length Future works: Merging Raman and DSP SDM can be used in the same kind of studies alessio.ferrari@studenti.polito.it