ADAPTIVE MODULATION AND CODE STRATEGY TO REDUCE ENERGY CONSUMPTION IN ELASTIC OPTICAL NETWORK

Authors

  • S.Y.M. Bandiri
  • T.C. Pimenta
  • D.H. Spadoti

DOI:

https://doi.org/10.1590/2179-10742018v17i11131

Keywords:

Adaptive FEC, Adaptive Modulation, Blocking Probability, Energy Consumption

Abstract

In this paper, the novel Adaptive Modulation and Code (AMC) algorithm aims to reduce energy consumption in elastic optical network is developed. The proposed AMC algorithm adaptively allocates both, the appropriate modulation and the forward error correction (FEC), according to the actual physical distance and the optical signal to noise ratio (OSNR) of the lightpath, respectively. The algorithm compares the previous energy consumption with the actual aiming to select the lowest. The obtained results have been compared with the case when shortest path (SP) and minimum hops (MH) algorithms are employed. Simulations outcomes highlight that energy consumption decreases when AMC algorithm is adopted in comparison with SP or MH ones. The energy consumption increases proportionally with the physical lightpath distance. Finally, the blocking probability decreases whereas AMC is utilized.

References

[1] Lange, C. et al., Energy consumption of telecommunication networks. In: IEEE. Optical Communication, ECOC’09.
35th European Conference on. [S.l.], p1-2, 2009.
[2] Koutitas, G.; Demesticha S, P., A review of energy efficiency in telecommunication networks. Telfor journal, v. 2, n. 1,
p. 2–7, 2010.
[3] Rouzic, E. L., Network evolution and the impact in core networks. In: IEEE. Optical Communication (ECOC), 36th
European Conference and Exhibition on. [S.l.], p. 1–8, 2010.
[4] PickaveT, M.; Tucker, R., Network solutions to reduce the energy footprint of ict. In: European conference on optical
communications (ECOC 2008), Brussels, Belgium. [S.l.: s.n.], p. 21–25, 2008.
[5] Ricciardi, S. et al., An energy-aware dynamic rwa framework for next-generation wavelength-routed networks.
Computer Networks, Elsevier, v. 56, n. 10, p. 2420–2442, 2012
[6] Tucker, R. S., Green optical communications—part i: Energy limitations in transport. IEEE Journal of selected topics in
quantum electronics, IEEE, v. 17, n. 2, p. 245–260, 2011.
[7] Lange, C. et al., Energy consumption of telecommunication networks and related improvement options. IEEE Journal
of selected topics in quantum electronics, IEEE, v. 17, n. 2, p. 285–295, 2011.
[8] Maheswaran, D. and K. K. J. Kailas, Energy efficiency in electrical systems”, IEEE International Conference on Power
Electronics, Drives and Energy Systems, Bengaluru, India, Dec. 16-19, 2012
[9] Rodney, T., Green optical communications Part I: Energy limitations in transport”, IEEE Journal of selected topics in
quantum electronics, v.17, n. 2, p. 245-260, 2011.
[10] Gerstel, O. et al., Elastic optical networking: A new dawn for the optical layer? IEEE Communications Magazine,
IEEE, v. 50, n. 2, 2012
[11] Jijun, Z. et al, Distance-adaptive routing and spectrum assignment in OFDM-based flexible transparent optical
networks”, Photonic Network Communications 27.3, p. 119-127, 2014.
[12] Jinno, M. H.; Takara, B. Kozicki, Y. Tsukishima, Y. Sone, and S. Matsuoka, Spectrum-efficient and scalable elastic
optical path network: Architecture, benefits, and enabling technologies”, IEEE Commun. Mag., vol. 47, no. 11, pp.
6673, Nov. 2009
[13] Christodoulopoulos, K. I. T, and E. Varvarigos, Elastic bandwidth allocation in flexible OFDM-based optical networks,
IEEE J. Lightw. Technol., vol. 29, no. 9, pp. 13541366, May 2011.
[14] Zhao, J. et al, Distance-adaptive routing and spectrum assignment in ofdm-based flexible transparent optical networks
Photonic Network Communications, Springer, v. 27, n. 3, p. 119–127, 2014.
[15] Wang, Y.; Cao, X.; Pan, Y. A study of the routing and spectrum allocation in spectrum sliced elastic optical path
networks. In: IEEE. INFOCOM, 2011 Proceedings IEEE. [S.l.], p. 1503–1511, 2011.
[16] Li Y. et al., Adaptive FEC-based lightpath routing and wavelength assignment in WDM optical networks”, Optical
Switching and Networking 14 , P241–249, 2014.
[17] Sab, O. A.; Lemaire, V. Block turbo code performances for long-haul dwdm optical transmission systems. In: IEEE.
Optical Fiber Communication Conference, 2000. [S.l.], v. 3, p. 280–282, 2000.
[18] Pillai B. S. G. et Al, End-to-end energy modeling and analysis of long-haul coherent transmission systems, Journal of
Lightwave Technology, VOL. 32, NO. 18, SEPTEMBER 15, 2014
[19] Klekamp, A.; Dischler, R.; Buchali, F., Transmission reach of optical-ofdm superchannels with 10-600 gb/s for
transparent bit-rate adaptive networks. In: OPTICAL SOCIETY OF AMERICA. European Conference and Exposition
on Optical Communications. [S.l.], p. Tu–3, 2011.
[20] Jin Yen, Finding the k-shortest loopless paths in a network”, Management Science 17.11, p. 712-716, 1971.
[21] Durand F. and A. Taufik, Energy efficiency analysis in adaptive FEC based lightpath elastic optical networks, Journal
of Circuits, Systems and Computers, v. 24, n. 09, p. 1550133, 2015.
[22] Bhide, N. M.; Sivalingam, K. M.; Fabryasztalos, T.., Routing mechanisms employing adaptive weight functions for
shortest path routing in optical WDM networks. Photonic Network Communications, v. 3, n. 3, p. 227-236, 2001.
[23] Wen, Bo; Shenai, R.; Sivalingam, K., Routing, wavelength and time-slot-assignment algorithms for wavelengthrouted optical WDM/TDM networks. Journal of Lightwave Technology, v. 23, n. 9, p. 2598, 2005.
[24] Poggiolini, Pierluigi et al. The GN-model of fiber non-linear propagation and its applications. Journal of lightwave
technology, v. 32, n. 4, p. 694-721, 2014.
[25] Gao, G. J. Zhang, L. Wang, W. Gu and Y. Ji, Influence of physical layer configuration on performance of elastic optical
OFDM networks, IEEE Comm. Lett. 18 (2014) 672–675.
[26] Barros, D. and J. Kahn, Comparison of orthogonal frequency-division multiplexing and on-off keying in amplified
direct-detection single-mode fiber systems, J. Lightwave Technol. 28 (2010) 1811–1820.
[27] Heddeghem, H. et al., Power consumption modeling in optical multilayer networks, Photon Netw. Commun. 24 (2012)
86–102.
[28] Guan, K. B. S. G. Pillai, A. Vishwanath, D. C. Kilper and J. Llorca, The impact of error control on energy-efficient
reliable data transfers over optical networks, Proc. Int. Conf. Communications (ICC'13), Budapest, June 2013, doi:
10.1109/ICC.2013.6655200
[29] Walden, R., Analog-to-digital converter survey and analysis, IEEE J. Sel. Areas Commun. 17 (1999) 539–550.
[30] Kuschnerov, M. T. Bex and P. Kainzmaier, Energy e±cient digital signal processing, Proc. OFC 2014, March 2014,
Paper Th3E.7.
[31] Pereira, H. D. Chaves, C. Bastos-Filho and J. Martins-Filho, OSNR model to consider physical layer impairments in
transparent optical networks, Photon. Netw. Commun. 18 137–149, 2009.

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Published

2018-09-30

How to Cite

S.Y.M. Bandiri, T.C. Pimenta, & D.H. Spadoti. (2018). ADAPTIVE MODULATION AND CODE STRATEGY TO REDUCE ENERGY CONSUMPTION IN ELASTIC OPTICAL NETWORK. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 17(1), 65–84. https://doi.org/10.1590/2179-10742018v17i11131

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Regular Papers