Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 45 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 11 tok/s Pro
GPT-5 High 19 tok/s Pro
GPT-4o 88 tok/s Pro
Kimi K2 214 tok/s Pro
GPT OSS 120B 460 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

What comes after optical-bypass network? A study on optical-computing-enabled network (2402.14970v1)

Published 22 Feb 2024 in cs.NI and eess.SP

Abstract: A new architectural paradigm, named, optical-computing-enabled network, is proposed as a potential evolution of the currently used optical-bypass framework. The main idea is to leverage the optical computing capabilities performed on transitional lightpaths at intermediate nodes and such proposal reverses the conventional wisdom in optical-bypass network, that is, separating in-transit lightpaths in avoidance of unwanted interference. In optical-computing-enabled network, the optical nodes are therefore upgraded from conventional functions of add-drop and cross-connect to include optical computing / processing capabilities. This is enabled by exploiting the superposition of in-transit lightpaths for computing purposes to achieve greater capacity efficiency. While traditional network design and planning algorithms have been well-developed for optical-bypass framework in which the routing and resource allocation is dedicated to each optical channel (lightpath), more complicated problems arise in optical-computing-enabled architecture as a consequence of intricate interaction between optical channels and hence resulting into the establishment of the so-called integrated / computed lightpaths. This necessitates for a different framework of network design and planning to maximize the impact of optical computing opportunities. In highlighting this critical point, a detailed case study exploiting the optical aggregation operation to re-design the optical core network is investigated in this paper. Numerical results obtained from extensive simulations on the COST239 network are presented to quantify the efficacy of optical-computing-enabled approach versus the conventional optical-bypass-enabled one.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (58)
  1. doi:10.1098/rsta.2015.0191.
  2. arXiv:https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0440, doi:10.1098/rsta.2014.0440. URL https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2014.0440
  3. doi:10.1109/JPROC.2022.3188337.
  4. doi:10.1109/JPROC.2022.3203215.
  5. doi:10.1109/JPROC.2022.3207920.
  6. doi:10.1109/JPROC.2022.3212229.
  7. doi:10.1364/JOCN.496992. URL https://opg.optica.org/jocn/abstract.cfm?URI=jocn-15-10-783
  8. NICT, Demonstration of world record: 319 tb/s transmission over 3,001 km with 4-core optical fiber (2021). URL https://www.nict.go.jp/en/press/2021/07/12-1.html
  9. doi:10.1364/OE.26.024190. URL http://www.opticsexpress.org/abstract.cfm?URI=oe-26-18-24190
  10. doi:10.1049/iet-opt.2017.0013.
  11. doi:10.1109/ICACT.2014.6779143.
  12. doi:10.1109/CSNDSP.2014.6923998.
  13. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.3410, doi:10.1002/dac.3410. URL https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.3410
  14. doi:10.1109/NICS48868.2019.9023831.
  15. doi:10.1109/ATC.2019.8924515.
  16. doi:10.1109/JPROC.2011.2182589.
  17. doi:https://doi.org/10.1016/j.yofte.2023.103394. URL https://www.sciencedirect.com/science/article/pii/S1068520023001748
  18. doi:https://doi.org/10.1016/j.yofte.2020.102364.
  19. doi:https://doi.org/10.1016/j.ijleo.2019.163563.
  20. doi:10.1007/978-3-030-16250-4$_$8. URL https://doi.org/10.1007/978-3-030-16250-4$_$8
  21. doi:10.1109/JLT.2013.2290842.
  22. doi:10.1007/978-3-030-16250-4$_$12. URL https://doi.org/10.1007/978-3-030-16250-4$_$12
  23. doi:10.1038/s42254-023-00645-5. URL https://doi.org/10.1038/s42254-023-00645-5
  24. doi:10.1038/s41586-020-2764-0. URL https://doi.org/10.1038/s41586-020-2764-0
  25. doi:10.1038/s41566-023-01330-w. URL https://doi.org/10.1038/s41566-023-01330-w
  26. doi:10.1145/3603269.3604821. URL https://doi.org/10.1145/3603269.3604821
  27. doi:10.1145/3626111.3628177. URL https://doi.org/10.1145/3626111.3628177
  28. doi:10.1088/2040-8986/ab0e66. URL https://doi.org/10.1088/2040-8986/ab0e66
  29. doi:10.1109/JPHOT.2015.2418264.
  30. doi:10.1109/TNSM.2023.3283880.
  31. doi:10.1007/s11082-023-05123-x. URL https://doi.org/10.1007/s11082-023-05123-x
  32. doi:10.1109/MTTW56973.2022.9942542.
  33. doi:10.1109/MTTW53539.2021.9607182.
  34. doi:10.1007/s11082-022-03628-5. URL https://doi.org/10.1007/s11082-022-03628-5
  35. doi:10.1109/WRAP54064.2022.9758386.
  36. doi:10.1109/JSYST.2019.2938590.
  37. doi:https://doi.org/10.1016/j.yofte.2017.11.009.
  38. doi:https://doi.org/10.1016/j.comcom.2018.08.006.
  39. doi:10.1109/LCOMM.2017.2720661.
  40. doi:10.1109/ACCESS.2017.2761809.
  41. doi:10.1109/RTUWO.2018.8587873.
  42. doi:10.1007/s11235-018-0474-9. URL https://doi.org/10.1007/s11235-018-0474-9
  43. doi:10.1007/s11082-019-2104-5. URL https://doi.org/10.1007/s11082-019-2104-5
  44. doi:10.1007/s11082-021-03279-y. URL https://doi.org/10.1007/s11082-021-03279-y
  45. doi:10.1364/PS.2014.PW1B.3. URL http://www.osapublishing.org/abstract.cfm?URI=PS-2014-PW1B.3
  46. doi:10.1109/SIGTELCOM.2017.7849820.
  47. doi:10.1109/ICIST.2017.7926753.
  48. arXiv:2402.11618.
  49. doi:https://doi.org/10.1016/j.rio.2023.100504. URL https://www.sciencedirect.com/science/article/pii/S2666950123001566
  50. arXiv:https://pubs.aip.org/aip/app/article-pdf/doi/10.1063/5.0150989/18095171/086112_1_5.0150989.pdf, doi:10.1063/5.0150989. URL https://doi.org/10.1063/5.0150989
  51. doi:10.1109/JSTQE.2019.2943375.
  52. doi:10.1109/JLT.2021.3084353.
  53. doi:10.1109/JSTQE.2020.3032554.
  54. doi:10.1109/JSTQE.2023.3253846.
  55. doi:10.1109/JLT.2021.3097163.
  56. doi:10.1109/JLT.2013.2287219.
  57. doi:10.1109/JLT.2018.2873245.
  58. doi:10.1109/JLT.2019.2959803.
Citations (1)
View on Semantic Scholar
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

User Circle Single Streamline Icon: https://streamlinehq.com Sign Up

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now
Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Generate Now

Authors (1)

  1. Dao Thanh Hai