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Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Elastic Optical Networks (EON) provide a solution to the massive demand for connections and extremely high data traffic with the Routing Modulation and Spectrum Assignment (RMSA) as a challenge. In previous RMSA research, there was a high blocking probability because the route to be passed by the K-SP method with a deep neural network approach used the First Fit policy, and the modulation problem was solved with Modulation Format Identification (MFI) or BPSK using Deep Reinforcement Learning. The issue might be apparent in spectrum assignment because of the influence of Advanced Reservation (AR) and Resource Periodic Arrangement (RPA), which is a decision block on a connection request path with both idle and active data traffic. The study’s limitation begins with determining the modulation of m = 1 and m = 4, followed by the placement of frequencies, namely 13 with a combination of standard block frequencies 41224–24412, so that the simulation results are less than 0.0199, due to the combination of block frequency slices with spectrum allocation rule techniques.
Rocznik
Strony
515--522
Opis fizyczny
Bibliogr. 36 poz., rys., tab., wykr.
Twórcy
  • Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia
  • Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia
autor
  • Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia
Bibliografia
  • [1] Y. Yin, K. Wen, D. J. Geisler, R. Liu and S. J. Yoo, “Dynamic on-demand defragmentation in flexible bandwidth elastic optical networks,” Optics Express, vol. 20, no. 2, pp. 1798-1804, 2012. [Online]. Available: https://doi.org/10.1364/OE.20.001798
  • [2] J. Zhang, H. Yang, Y. Zhao, Y. Ji, H. Li, Y. Lin, G. Li, J. Han, Y. Lee and T. Ma, “Experimental demonstration of elastic optical networks based on enhanced software defined networking (esdn) for data center application,” Optics Express, vol. 21, no. 22, pp. 26 990-27 002, 2013. [Online]. Available: https://doi.org/10.1364/OE.21.026990
  • [3] T. Tanaka, A. Hirano and M. Jinno, “Advantages of ip over elastic optical networks using multi-flow transponders from cost and equipment count aspects,” Optics Express, vol. 22, no. 1, pp. 62-70, 2013. [Online]. Available: https://doi.org/10.1364/OE.22.000062
  • [4] S. J. Savory, “Congestion aware routing in nonlinear elastic optical networks,” Photonics Technology Letters, vol. 26, no. 10, pp. 1057-1060, 2014. [Online]. Available: https://doi.org/10.1109/LPT.2014.2314438
  • [5] X. Xu, E. Zhou, G. N. Liu, T. Zuo, Q. Zhong, L. Zhang, Y. Bao, X. Zhang, J. Li and Z. Li, “Advanced modulation formats for 400-gbps short-reach optical inter-connection,” Optics Express, vol. 23, no. 1, pp. 492-500, 2014. [Online]. Available: https://doi.org/10.1364/OE.23.000492
  • [6] R. Boada, R. Borkowski and I. T. Monroy, “Clustering algorithms for stokes space modulation format recognition,” Optics Express, vol. 23, no. 12, pp. 15 521-15 531, 2015. [Online]. Available: https://doi.org/10.1364/OE.23.015521
  • [7] K. Xu and Y. Ou, “Theoretical and numerical characterization of a 40 gbps long-haul multi-channel transmission system with dispersion compensation,” Digital Communication and Networks, vol. 1, pp. 222-228, 2015. [Online]. Available: https://doi.org/10.1016/j.dcan.2015.06.001
  • [8] H. Zhou, S. Mao and P. Agrawal, “Optical power allocation for adaptive transmissions in wavelength-division multiplexing free space optical networks,” Digital Communication and Networks, vol. 1, pp. 171-180, 2015. [Online]. Available: https://doi.org/10.1016/j.dcan.2015.09.001
  • [9] S. M. Bilal, G. Bosco, Z. Dong, A. Pak, T. Lau and C. Lu, “Blind modulation format identification for digital coherent receivers,” Optics Express, vol. 23, no. 20, pp. 26 769-26 778, 2015. [Online]. Available: https://doi.org/10.1364/OE.23.026769
  • [10] C. Wang, G. Shen and L. Peng, “Protection lightpath-based hitless spectrum defragmentation for distance adaptive elastic optical networks,” Optics Express, vol. 24, no. 5, pp. 4497-4511, 2016. [Online]. Available: https://doi.org/10.1364/OE.24.004497
  • [11] N. G. Anoh, M. Babri, A. D. Korac, R. M. Fayec, B. Aka and C. Lishou, “An efficient hybrid protection scheme with shared/dedicated backup paths on elastic optical networks,” Digital Communications and Networks, pp. 11-18, 2016. [Online]. Available: https://doi.org/10.1016/j.dcan.2016.05.001
  • [12] H. Guo, G. Shen and S. K. Bose, “Routing and spectrum assignment for dual failure path protected elastic optical networks,” IEEE Access, vol. 4, pp. 5143-5160, 2016. [Online]. Available: https://doi.org/10.1109/ACCESS.2016.2599511
  • [13] H. Guo, Y. Li, L. Li and G. Shen, “Adaptive modulation and regeneration-aware routing and spectrum assignment in sbpp-based elastic optical networks,” IEEE Photonics Journal, vol. 9, no. 2, pp. 1-16, 2017. [Online]. Available: https://doi.org/10.1109/JPHOT.2017.2685418
  • [14] L. Al-Tarawneh and S. Taebi, “Minimizing blocking probability in elastic optical networks by varying the bandwidth granularity based on optical path fragmentation,” photonics, vol. 4, no. 20, pp. 1-14, 2017. [Online]. Available: https://doi.org/10.3390/photonics4020020
  • [15] H. Chen, Y. Zhao, J. Zhang, W. Wang and R. Zhu, “Static routing and spectrum assignment for deadline-driven bulk-data transfer in elastic optical networks,” IEEE Access, vol. 5, pp. 13 645-13 653, 2017. [Online]. Available: https://doi.org/10.1109/ACCESS.2017.2727338
  • [16] L. L. Huan, L. Lei , C. Yong and W. Chengying, “Fragmentation-avoiding spectrum assignment strategy based on spectrum partition for elastic optical networks,” Photonics Journal, vol. 9, no. 5, pp. 1-13, 2017. [Online]. Available: https://doi.org/10.1109/JPHOT.2017.2739750
  • [17] S. Iyer and S. P. Singh, “Multiple-period planning of internet protocol-over- elastic optical networks,” Journal of Information and Telecommunication, vol. 3, no. 1, pp. 39-56, 2018. [Online]. Available: https://doi.org/10.1080/24751839.2018.1526448
  • [18] J. Zhao, B. C. Chatterjee, E. Oki, J. Hu and D. Ren, “Dispersion based highest-modulation-first last-fit spectrum allocation scheme for elastic optical networks,” IEEE Access, vol. 6, pp. 59 907-59 916, 2018. [Online]. Available: https://doi.org/10.1109/ACCESS.2018.2875414
  • [19] Y. Zhao, l. Hu, R. Zhu, X. Yu, Y. Li, W. Wang and J. Zhang, “Crosstalka-ware spectrum defragmentation by re-provisioning advance reservation requests in space division multiplexing enabled elastic optical networks with multi-core fiber,” Optics Express, vol. 27, no. 4, pp. 5014-5032, 2019. [Online]. Available: https://doi.org/10.1364/OE.27.005014
  • [20] Z. Zhao, A. Yang and P. Guo, “A modulation format identification method based on information entropy analysis of received optical communication signal,” IEEE Access, vol. 7, pp. 41 492-41 497, 2019. [Online]. Available: https://doi.org/10.1109/ACCESS.2019.2907521
  • [21] R. J. Silaban, M. Alaydrus and U. Umaisaroh, “Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in the Elastic Optical Network,” in 2022 2nd Conference on Electrical, Computer and Energy Technologies (ICECET), 2022, pp. 1-6. [Online]. Available: https://doi.org/10.1109/ICECET55527.2022.9872754
  • [22] X. Chen, B. Li, R. Proietti, H. Lu, Z. Zhu and S. J. Ben Yoo, “Deeprmsa: A deep reinforcement learning framework for routing, modulation and spectrum assignment in elastic optical networks,” Journal of Lightwave Technology, vol. 37, no. 16, pp. 4155-4163, 2019. [Online]. Available: https://doi.org/10.1109/JLT.2019.2923615
  • [23] X. Li, J. Yuan, Q. Zhang, Z. Ren and L. Yang, “Farsighted spectrum resource assignment method for advance reservation requests in elastic optical networks,” IEEE Access, vol. 7, pp. 167 836-167 846, 2019. [Online]. Available: https://doi.org/10.1109/ACCESS.2019.2954478
  • [24] X. Chen, B. Li, R. Proietti, C.Y. Liu, Z. Zhu and S. J. B. Yoo, “Demonstration of distributed collaborative learning with end-to-end qot estimation in multi-domain elastic optical networks,” Optics Express, vol. 27, no. 24, pp. 35 700-35 709, 2019. [Online]. Available: https://doi.org/10.1364/OE.27.035700
  • [25] Y. Zhou, Q. Sun and S. Lin, “Link state aware dynamic routing and spectrum allocation strategy in elastic optical networks,” IEEE Access, vol. 8, pp. 45 071-45 083, 2020. [Online]. Available: https://doi.org/10.1109/ACCESS.2020.2977612
  • [26] X. Li, J. Yuan, Z. Ren, Q. Zhang and L. Yang, “Rmsa algorithm for malleable-reservation requests in elastic optical networks,” Optical Fiber Technology, vol. 57, pp. 1-11, 2020. [Online]. Available: https://doi.org/10.1016/j.yofte.2020.102236
  • [27] G. A. Beletsioti, G. I. Papadimitriou, P. Nicopolitidis, E. Varvarigos and S. Mavridopoulos, “A learning-automata-based congestion-aware scheme for energy-efficient elastic optical networks,” IEEE Access, vol. 8, pp. 101 978-101 992, 2020. [Online]. Available: https://doi.org/10.1109/ACCESS.2020.2996279
  • [28] J. Zhao, F. Zhang, C. Zhao, G. Wu, H. Wang and X. Cao, “The Properties and Application of Poisson Distribution,” in 2020 Journal of Physics: Conference Series, vol. 1550, 2020, pp. 1-5. [Online]. Available: https://doi.org/10.1088/1742-6596/1550/3/032109
  • [29] S. Liu, Q. Guo, J. Yuan and Q. Zhang, “A resource-periodic-arrangement strategy for rmsa problem in elastic optical networks,” IEEE Access, vol. 8, pp. 159 745-159 755, 2020. [Online]. Available: https://doi.org/10.1109/ACCESS.2020.3021014
  • [30] N. Jara, J. Salazar and R. Vallejos, “A topology-based spectrum assignment solution for static elastic optical networks with ring topologies,” IEEE Access, vol. 8, pp. 218 828-218 837, 2020.
  • [Online]. Available: https://doi.org/10.1109/ACCESS.2020.3042445
  • [31] S. Chen, J. Zhang, F. Meng and D. Wang, “A markov chain position prediction model based on multidimensional correction,” Complexity, vol. 2021, pp. 1-8, 2021. [Online]. Available: https://doi.org/10.1155/2021/6677132
  • [32] A. N. Khan, H. Y. Ahmed, M. Zeghid, W. A. Imtiaz and Z. H. Khan, “Link congestion aware proactive routing for dynamic traffic in elastic optical networks,” IEEE Photonics, vol. 13, no. 1, pp. 1-15, 2021. [Online]. Available: https://doi.org/10.1109/JPHOT.2021.3052650
  • [33] Y. Liu, R. He, S. Wang and C. Yu, “Temporal and spectral 2d fragmentation-aware rmsa algorithm for advance reservation requests in eons,” IEEE Access, vol. 9, pp. 32 845-32 856, 2021. [Online]. Available: https://doi.org/10.1109/ACCESS.2021.3060375
  • [34] P. Safari, B. Shariati, G. Bergk and K. J. Fischer, “Deep Convolutional Neural Network for Network-wide QoT Estimation,” in 2021 Optical Fiber Communications Conference and Exhibition (OFC), 2021, pp. 1-3. [Online]. Available: https://doi.org/10.1364/OFC.2021.Th4J.3
  • [35] HHI, “Fraunhofer hhi,” 2021. [Online]. Available: https://networkdata.hhi.fraunhofer.de
  • [36] M. Sobieraj, P. Zwierzykowski and E. Leitgeb, “Simulation studies of elastic optical networks nodes with multicast connections,” Humancentric Computing and Information Sciences, vol. 12, pp. 1-13, 2022. [Online]. Available: https://doi.org/10.22967/HCIS.2022.12.005
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-402e1e3a-4617-4631-8689-80df02119acc
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