Startseite Technik Machine Learning based modulation format classification framework for inter-satellite optical wireless communication system (IsOWCS)
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Machine Learning based modulation format classification framework for inter-satellite optical wireless communication system (IsOWCS)

  • Avneet Kaur , Rajandeep Singh , Ramandeep Kaur EMAIL logo , Aitazaz A. Farooque und Simranjit Singh
Veröffentlicht/Copyright: 26. November 2024
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Abstract

The exponential growth in demand for high-capacity optical systems has driven the advancement of advanced modulation formats to upgrade transmission capacity and transmission quality. Effective fault diagnosis and self-configuration in inter-satellite optical wireless communication systems (IsOWCS) depend intensely on the generated data. Machine learning (ML) approaches offer promising solutions in evaluating the execution of these networks. In this study, a dataset was created using OptiSystem 18.0. The dataset was composed of various modulation formats such as duobinary, return-to-zero (RZ), non-return-to-zero (NRZ), 33 % RZ, chirped NRZ, vestigial sideband (VSB) NRZ, carrier-suppressed return-to-zero (CSRZ), and VSB CSRZ. The classification of modulation formats has been presented in this study using ML. The dataset was created by varying input power from 0 to 20 dBm and evaluating parameters such as Q factor, input/output signal-to-noise ratio (SNR), power, range, eye closure, amplitude, height, eye opening, output OSNR. Four ML classifiers were used to predict the classification of different modulation formats. Random forest (RF) classifier performed exceptionally well and achieved 100 % accuracy. Moreover, an interactive user-friendly web page was also developed using Anvil for modulation format classification. The proposed research underscores the significance of selecting the appropriate modulation format to optimize the performance and transmission distance of IsOWCS, subsequently enhancing the operation of high-speed optical communication systems.


Corresponding author: Ramandeep Kaur, ECE, Punjabi University, Patiala, 147002, India, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interests: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: The raw data can be obtained on request from the corresponding author.

References

1. Crandall, R, Lehr, W, Litan, R. The effects of broadband deployment on output and employment: a cross-sectional analysis of U.S. Data. Issues in Economic Policy 2007;6:1–35.Suche in Google Scholar

2. Oh, CW, Cao, Z, Mekonnen, KA, Tangdiongga, E, Koonen, AMJ. Low-crosstalk full-duplex all-optical indoor wireless transmission with carrier recovery. IEEE Photon Technol Lett 2017;29:539–42. https://doi.org/10.1109/LPT.2017.2664584.Suche in Google Scholar

3. Wang, K, Nirmalathas, A, Lim, C, Skafidas, E. 4 × 12.5 Gb/s WDM optical wireless communication system for indoor applications. J Lightwave Technol 2011;29:1988–96. https://doi.org/10.1109/JLT.2011.2155622.Suche in Google Scholar

4. Alsulami, O, Hussein, AT, Alresheedi, MT, Elmirghani, JMH. Optical wireless communication systems, a survey. arXiv preprint 2018.Suche in Google Scholar

5. Mukherjee, A. An overview of wireless optical communication. New Delhi, India: EFY Bureau; 2024.Suche in Google Scholar

6. Kaushal, H, Jain, V, Kar, S. Overview of wireless optical communication systems. Free Space Optical Commun 2017:1–39. https://doi.org/10.1007/978-81-322-3691-7_1.Suche in Google Scholar

7. Hou, R, Chen, Y, Wu, J, Zhang, H. A brief survey of optical wireless communication. In: Proc Australas Symp Parallel Distrib Comput. AusPDC 2015; 2015, 163:41–50 pp.Suche in Google Scholar

8. Trichili, A, Cox, MA, Ooi, BS, Alouini, M-S. Roadmap to free space optics. J Opt Soc Am B 2020;37:A184–201. https://doi.org/10.1364/JOSAB.399168.Suche in Google Scholar

9. Khalighi, MA, Uysal, M. Survey on free space optical communication: a communication theory perspective. IEEE Commun Surv Tutorial 2014;16:2231–58. https://doi.org/10.1109/COMST.2014.2329501.Suche in Google Scholar

10. Yuan, B, Cai, H. Research on the current situation and development trend of optical fiber communication technology. J Phys Conf Ser 2021;1873:12013. https://doi.org/10.1088/1742-6596/1873/1/012013.Suche in Google Scholar

11. Abbas, H, Gregory, M. The next generation of passive optical networks: a review. J Netw Comput Appl 2016;67:53–74. https://doi.org/10.1016/j.jnca.2016.02.015.Suche in Google Scholar

12. Daigond, A, Rani, U, R, K, Aski, A. A review on importance of DWDM technology in optical networking. J Univ Shanghai Sci Technol 2021;23:640–6. https://doi.org/10.51201/JUSST/21/05298.Suche in Google Scholar

13. Kikuchi, K. Fundamentals of coherent optical fiber communications. J Lightwave Technol 2016;34:157–79. https://doi.org/10.1109/jlt.2015.2463719.Suche in Google Scholar

14. Khichar, S, Inaniya, PK. Inter-Satellite optical wireless communication system design using diversity technique with filter and amplifier. 2018 Int Conf Commun Signal Proc 2018:481–4. https://doi.org/10.1109/ICCSP.2018.8524366.Suche in Google Scholar

15. Raj, S. Inter satellite optical wireless communication system. Int J Sci Eng Technol Res 2017;6:184–7.Suche in Google Scholar

16. Tawfik, MM, Sree, MFA, Abaza, M, Ghouz, HHM. Inter-satellite optical wireless communication (IsOWC) system analysis for optimizing performance between GEO and LEO satellites. In: 2021 International Telecommunications Conference, ITC-Egypt 2021 - Proceedings. Alexandria, Egypt: Institute of Electrical and Electronics Engineers Inc.; 2021:1–4 pp.10.1109/ITC-Egypt52936.2021.9513901Suche in Google Scholar

17. Esmail, MA. Autonomous self-adaptive and self-aware optical wireless communication systems. Sensors 2023;23:1–12. https://doi.org/10.3390/s23094331.Suche in Google Scholar PubMed PubMed Central

18. Saba, T, Haseeb, K, Shah, AA, Rehman, A, Tariq, U, Mehmood, Z. A machine-learning-based approach for autonomous IoT security. IT Prof 2021;23:69–75. https://doi.org/10.1109/MITP.2020.3031358.Suche in Google Scholar

19. Musumeci, F, Rottondi, C, Nag, A, Macaluso, I, Zibar, D, Ruffini, M, et al.. An overview on application of machine learning techniques in optical networks. IEEE Commun Survey Tutorial 2019;21:1383–408. https://doi.org/10.1109/COMST.2018.2880039.Suche in Google Scholar

20. Saif, WS, Esmail, MA, Ragheb, AM, Alshawi, TA, Alshebeili, SA. Machine learning techniques for optical performance monitoring and modulation format identification: a survey. IEEE Commun Survey Tutorial 2020;22:2839–82. https://doi.org/10.1109/COMST.2020.3018494.Suche in Google Scholar

21. Rehman, MU, Shafique, A, Ghadi, YY, Boulila, W, Jan, SU, Gadekallu, TR, et al.. A novel chaos-based privacy-preserving deep learning model for cancer diagnosis. IEEE Trans Netw Sci Eng 2022;9:4322–37. https://doi.org/10.1109/TNSE.2022.3199235.Suche in Google Scholar

22. Khan, FN, Lu, C, Lau, APT. Machine learning methods for optical communication systems. In: Advanced Photonics Congress (IPR, Networks, NOMA, PS, Sensors, SPPCom). New Orleans, Louisiana, United States: Optica Publishing Group; 2017:SpW2F.3 p.10.1364/SPPCOM.2017.SpW2F.3Suche in Google Scholar

23. Muhammad Usman, H. Machine learning methods for optical communications. In: Trends in computer science and information technology. California, USA: Peertechz; 2020:55–57 pp.Suche in Google Scholar

24. Amirabadi, MA. A survey on machine learning for optical communication [machine learning view]. arXiv: Signal Process; 2019. Available from: https://api.semanticscholar.org/CorpusID:202558944.Suche in Google Scholar

25. V Bishnoi, S Arya. Performance evaluation of duobinary RZ and NRZ technique in 16 channel WDM systems. In Proceedings of ARSSS International Conference, 27th May, 2018, New Delhi, India, 2018.Suche in Google Scholar

26. Bobrovs, V, Ivanovs, G. Investigation of different modulation formats simultaneous transmission in WDM systems. Electron Electr Eng 2010;7:109–12.Suche in Google Scholar

27. Sharma, V, Singh, G, Kaur, B. Comparison analysis of ultra, visible and infra high capacity intersatellite optical wireless communication system using distinct modulation formats. Int J Eng Appl Sci Technol 2016;2:62–6.Suche in Google Scholar

28. Kaur, P, Gupta, A, Chaudhary, M. Comparative analysis of inter satellite optical wireless channel for NRZ and RZ modulation formats for different levels of input power. Procedia Comput Sci 2015;58:572–7. https://doi.org/10.1016/j.procs.2015.08.075.Suche in Google Scholar

29. Marwaha, V, Singhal, A, Ahuja, SP. Performance evaluation of modulation format for optical system. Int J Electron Commun Technol 2012;3:190–2.Suche in Google Scholar

30. Bourdoucen, H, Al Naamany, A. WDM transmission performance evaluation for externally modulated coding formats. J Electr Eng 2013;13:144–9.Suche in Google Scholar

31. Kurbatska, I, Spolitis, S, Bobrovs, V, Alsevska, A, Ivanovs, G. Performance comparison of modulation formats for 10 Gbit/s WDM-PON systems. In: 2016 Advances in Wireless and Optical Communications (RTUWO). Riga, Latvia: IEEE; 2016:51–4 pp.10.1109/RTUWO.2016.7821854Suche in Google Scholar

32. Kaur, R, Dewra, S. Evaluation of wavelength division multiplexing system using different modulation formats. Int J Adv Res Comput Commun Eng 2015;4:498–500. https://doi.org/10.17148/IJARCCE.2015.46107.Suche in Google Scholar

33. Janakiraman, V, Michael, M, Britto, EC. Analysis of a WDM system with a modified duobinary modulation scheme in an optical network using EDFA. Appl Opt 2023;62:3118. https://doi.org/10.1364/ao.480421.Suche in Google Scholar

34. Singh, J, Kumar, N. Performance analysis of different modulation format on free space optical communication system. Optik 2013;124:4651–4. https://doi.org/10.1016/j.ijleo.2013.02.014.Suche in Google Scholar

35. Alipour, A, Mir, A, Sheikhi, A. Ultra high-capacity inter-satellite optical wireless communication system using different optimized modulation formats. Optik 2016;127:8135–43. https://doi.org/10.1016/j.ijleo.2016.06.011.Suche in Google Scholar

36. Asha, S. Dahiya. Optical carrier suppression based single Sideband millimeter wave transmission for 5G RoF system. In: IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, and Communication, AESPC 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc, Bhubaneswar, India; 2021.10.1109/AESPC52704.2021.9708522Suche in Google Scholar

37. Karmous, S, Adem, N, Atiquzzaman, M, Samarakoon, S. How can optical communications shape the future of deep space communications? A survey. IEEE Commun Survey Tutorial 2024;1. https://doi.org/10.1109/COMST.2024.3403873.Suche in Google Scholar

38. Asha, Dahiya, S. Optimization of high frequency radio over fiber system using cascaded amplifier and dispersion compensation fiber. J Opt 2023;52:1552–65. https://doi.org/10.1007/s12596-022-00988-9.Suche in Google Scholar

39. Dahiya, S, Asha. Design and analysis of 160 GHz millimeter wave RoF system with dispersion tolerance. J Opt 2023;52:1461–76. https://doi.org/10.1007/s12596-022-00957-2.Suche in Google Scholar

40. Kumar, S, Sharma, S, Dahiya, S. WDM-based 160 gbps radio over fiber system with the application of dispersion compensation fiber and fiber Bragg grating. Front Physiol 2021;9:1–13. https://doi.org/10.3389/fphy.2021.691387.Suche in Google Scholar

41. Dahiya, S, Asha. Large tunable 16-tupled millimeter wave generation utilizing optical carrier suppression with a tunable Sideband suppression ratio. Front Physiol 2021;9:1–9. https://doi.org/10.3389/fphy.2021.747030.Suche in Google Scholar

42. Dahiya, S. An efficient ROF link with lower modulation index and higher extinction ratio insensitivity. J Opt 2024;53:3119–29. https://doi.org/10.1007/s12596-023-01437-x.AshaSuche in Google Scholar

43. Dahiya, S, Asha. Performance analysis of millimeter wave-based radio over fiber system for next generation networks. J Opt 2024;53:2174–82. https://doi.org/10.1007/s12596-023-01472-8.Suche in Google Scholar

44. Asha S Dahiya. Photonic upconversion-based millimeter wave generation and transmission for 5G RoF Fronthaul system. In: Artificial intelligence and sustainable computing. Singapore: Springer; 2022:559–66 pp.10.1007/978-981-19-1653-3_42Suche in Google Scholar

45. Asha, Dahiya, S. Extinction ratio tolerant filterless millimeter wave generation using single parallel MZM. Optoelectron Lett 2023;19:14–19. https://doi.org/10.1007/s11801-023-2130-1.Suche in Google Scholar

46. van Eck, NJ, Waltman, L. Visualizing bibliometric networks. In: Measuring scholarly impact. Cham, Switzerland: Springer International Publishing; 2014:285–320 pp.10.1007/978-3-319-10377-8_13Suche in Google Scholar

47. Marciniak, M. Optical wireless communications international standards — a review. In: 2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom). Graz, Austria: IEEE; 2022:1–4 pp.10.1109/CoBCom55489.2022.9880748Suche in Google Scholar

48. Wang, Y, Yu, J, Chi, N. Symmetrical full-duplex integrated passive optical network and optical wireless communication transmission system. J Opt Commun Netw 2015;7:628–33. https://doi.org/10.1364/JOCN.7.000628.Suche in Google Scholar

49. Choudhary, A, Agrawal, NK. Inter-satellite optical wireless communication (IsOWC) systems challenges and applications: a comprehensive review. J Opt Commun 2022;45:925–35. https://doi.org/10.1515/joc-2022-0075.Suche in Google Scholar

50. Sağ, E, Kavas, A. Modelling and performance analysis of 2.5 Gbps inter-satellite optical wireless communication (IsOWC) system in LEO constellation. J Commun 2018;13:553–8. https://doi.org/10.12720/jcm.13.10.553-558.Suche in Google Scholar

51. Haas, H, Elmirghani, J, White, I. Optical wireless communication. Phil Trans Math Phys Eng Sci 2020;378:1–11. https://doi.org/10.1098/rsta.2020.0051.Suche in Google Scholar PubMed PubMed Central

52. Kaur, R, Dewra, S. Duobinary modulation format for optical system - a review. Int J Adv Res Electric Electron Instrument Eng 2014;3:11039–46. https://doi.org/10.15662/ijareeie.2014.0308012.Suche in Google Scholar

53. Sánchez-López, J-D, Arvizu, AM, Mendieta, FJ, Nieto Hipólito, I. Trends of the optical wireless communications. In: Advanced Trends in Wireless Communications; 2011:303–26 pp. Available from: www.intechopen.com.10.5772/15493Suche in Google Scholar

54. Atieh, A, Raytchev, M. Optical communication system (OptiSystem) software enabling remote education and teaching. In: Seventeenth Conference on Education and Training in Optics and Photonics: ETOP 2023. Cocoa Beach, Florida, United States: Optica Publishing Group; 2023:1272304 p.10.1117/12.2664849Suche in Google Scholar

55. Rawi, M, Jamaludin, Z, Abdullah, F. Optisystem: an alternative to optoelectronics and fiber optics teaching E-laboratory; 2014. Available from: http://www.aessweb.com/journals/5007.Suche in Google Scholar

56. Masum, M, Shahriar, H, Sakib, N, Valero, M, Qian, K, Lo, D, et al. Scalable machine learning using PySpark. In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Los Alamitos, CA, USA: IEEE; 2022:454–5 pp.10.1109/COMPSAC54236.2022.00087Suche in Google Scholar

57. Tizikara, DK, Serugunda, J, Katumba, A. Machine learning-aided optical performance monitoring techniques: a review. Front Comms Net 2021;2:1–21. https://doi.org/10.3389/frcmn.2021.756513.Suche in Google Scholar

58. Schonlau, M, Zou, RY. The random forest algorithm for statistical learning. STATA J 2020;20:3–29. https://doi.org/10.1177/1536867X20909688.Suche in Google Scholar

59. Uddin, S, Haque, I, Lu, H, Moni, MA, Gide, E. Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction. Sci Rep 2022;12:6256. https://doi.org/10.1038/s41598-022-10358-x.Suche in Google Scholar PubMed PubMed Central

60. Ambrish, G, Ganesh, B, Ganesh, A, Srinivas, C, Dhanraj, K Mensinkal. Logistic regression technique for prediction of cardiovascular disease. Global Trans Proc 2022;3:127–30. https://doi.org/10.1016/j.gltp.2022.04.008.Suche in Google Scholar

61. Yang, F-J. An implementation of naive Bayes classifier. In: International Conference on Computational Science and Computational Intelligence (CSCI). Las Vegas, NV, USA: IEEE; 2018:301–6 pp.10.1109/CSCI46756.2018.00065Suche in Google Scholar

Received: 2024-09-16
Accepted: 2024-10-22
Published Online: 2024-11-26
Published in Print: 2026-01-23

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Amplifiers
  3. High performance measurement of preamplifier circuits based bipolar/field effect transistors for the optimum photodiode receivers performance in optical communication system
  4. Different optical fiber hybrid repeater amplifiers arrangement for optical losses and optical dispersion management in the presence of modulation code schemes
  5. Analysis of bit error rate and receiver sensitivity of a DC biased optical OFDM transmission link using single mode fiber with distributed Raman amplifier
  6. Devices
  7. Cascaded amplified Fabry–Perot spatial band pass filter for WDM application
  8. Performance comparison of different intensity modulation formats for FSO systems
  9. Bufferless NoC router design for optical networks-on-chip
  10. Design and analysis of 2D photonic crystals based all optical logic gates
  11. Fibers
  12. Study on optical fiber materials and loss-dispersion management optimization technique
  13. Lasers
  14. Numerical analysis on impedance characteristics of dual wavelength quantum cascade lasers
  15. Numerical investigation of in-band pumped holmium-doped fluoride fiber laser operating at 2.1 µm
  16. Networks
  17. Parametric evaluation of line-of-sight (LOS) channel in LiFi networks
  18. High capacity performance signature of micro optical mechanical system switches based fiber Bragg grating scheme implementation in optical WDM data routed center networks
  19. Optimizing FSO systems for 6G network using particle swarm optimization
  20. Optimizing conventional machining process parameters for A713 aluminum alloy using Taguchi method and passive optical network for data transmission
  21. Analysis of software-defined radio for optical networking
  22. Systems
  23. Design and performance evaluation of a hybrid FSO-FTTx communication link utilizing UD-WDMA 1.28 Tbps data rates transmission under various weather conditions
  24. Analyzing the performance of the SD-WDM system with varying channel spacing
  25. Performance analysis of high dynamic range OFDM radio over fiber system for 5G/NR signals
  26. Demonstration of 640 Gbps/160 Gbps WDM-PON system based on colorless ONUs
  27. Machine Learning based modulation format classification framework for inter-satellite optical wireless communication system (IsOWCS)
  28. 40 Gb/s RoFSO communication system under turbulent channel link for 5G applications
  29. Performance analysis of UAV-enabled dual-hop mixed RF-FSO communication systems with user scheduling
  30. Underwater wireless optical communication system incorporating WMZCC and DPS codes under pure sea, clear ocean and coastal sea
  31. Performance analysis of a hybrid DWDM-FSO system for 6G
  32. Performance analysis of V2V visible light communication systems under diverse scenarios
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