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Al Smadi Takialddin dsmaditakialddin@gmail.com
Al Sawalha Ayman draymansawalha@gmail.com


Abstract

The significance of optical fiber research in the digital realm is increasing because of its use in components, sensors, and high-speed data communication. The study of few-mode fiber (FMF) is experiencing a resurgence because of its capability to transmit data at high rates. This dissertation offers novel designs of FMFs with updated material composition and geometry to construct linkages using weakly coupled spatial division multiplexing (SDM) and mode division multiplexing (MDM). This study examines the necessary conditions for 5G networks and explores how they can be managed using spatial multiplexing and mode multiplexing techniques with a few-mode optical fiber. This method showcases the use of machine learning to simulate the profile of a few-mode fiber with a triangular-ring-core structure.It employs weak coupling optimisation to provide accurate predictions of refractive index differences and improved separation of spatial modes. Notably, this is accomplished using a data set that is six times smaller than that used in previous methods.

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How to Cite
1.
Takialddin AS, Ayman AS. Review of the Optimization Machine Learning Inverse of view –Mode Fiber. j. adv. sci. eng. technol. [Internet]. 2024 Feb. 15 [cited 2024 Jul. 16];7(1):22-38. Available from: https://www.jasetj.com/index.php/jaset/article/view/1141
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References

Behera, B., Das, A., & Mohanty, M. N. (2023). Machine Learning Technique for Few-Mode Fiber Design with Inverse Modelling for 5G and Beyond. Transactions on Computer Systems and Networks, 221–243. https://doi.org/10.1007/978-981-99-0109-8_12

Behera, B., Ranjan Patra, G., Kumar Varshney, S., & Narayan Mohanty, M. (2023). Machine Learning-based Inverse Model for Few-Mode Fiber Designs. Computer Systems Science and Engineering, 45(1), 311–328. https://doi.org/10.32604/csse.2023.029325

Zhiqin He, J. Du, X. Chen, W. Shen, Y. Huang, C. Wang, K. Xu, Zuyuan He

Machine learning aided inverse design for few-mode fiber weak-coupling optimization

Opt Express, 28 (2020), Article 21668, 10.1364/oe.398157

B. Mukherjee, “WDM optical communication networks: progress and challenges,” IEEE Journal on Selected Areas in communications, vol. 18, no. 10, pp. 1810–1824, 2000.

R. Ramaswami, K. Sivarajan and G. Sasaki, Optical networks: A practical perspective, 3rd ed., USA: Morgan Kaufmann, 2009.

E. B. Desurvire, “Capacity demand and technology challenges for lightwave systems in the next two decades,”Journal of Lightwave Technology, vol. 24, no. 12, pp. 4697–4710, 2006.

R.-J. Essiambre and R. W. Tkach, “Capacity trends and limits of optical communication networks,” Proceedings of the IEEE, vol. 100, no. 5, pp. 1035–1055, 2012.

T. Mori, T. Sakamoto, M. Wada, T. Yamamoto and K. Nakajima, “Few-mode fiber technology for mode division multiplexing,” Optical Fiber Technology, vol. 35, no. 4, pp. 37–45, 2017.

J. Lataoui, A. Rjeb, N. Jaba, H. Fathallah and M. Machhout, “Multicore raised cosine fibers for next generation space division multiplexing systems,” Optical Fiber Technology, vol. 68, no. 5, pp. 102777, 2022.

H. Chen, Y. Chen, J. Wang, H. Lu, L. Feng et al., “Octagonal polarization-maintaining supermode fiber for mode division multiplexing system,” Optics Communications, vol. 510, no. 26, pp. 127897, 2022.

Chu, Y., Fu, X., Luo, Y., Canning, J., Tian, Y., Cook, K., Zhang, J., Peng, G.-D., 2019. Silica optical fiber drawn from 3D printed preforms. Opt. Lett. 44, 5358. https://doi.org/ 10.1364/ol.44.005358.

Corsi, A., Chang, J.H., Rusch, L.A., Larochelle, S., 2019. Design of highly elliptical core ten-mode fiber for space division multiplexing with 2 × 2 MIMO. IEEE Photon. J. 11 https://doi.org/10.1109/JPHOT.2019.2900197.

Ge, D., Gao, Y., Yang, Y., Shen, L., Li, Z., Chen, Z., He, Y., Li, J., 2019. A 6-LP-mode ultralow-modal-crosstalk double-ring-core FMF for weakly-coupled MDM transmission. Opt Commun. 451, 97–103. https://doi.org/10.1016/j. optcom.2019.06.015.

Gloge, D., Marcatili, E.A.J., 1973. Multimode theory of graded-core fibers. The Bell System Technical Journal 52, 1563–1578. https://doi.org/10.1002/j.1538- 7305.1973.tb02033.x.

Gregg, P., Kristensen, P., Rubano, A., Golowich, S., Marrucci, L., Ramachandran, S., 2019. Enhanced spin orbit interaction of light in highly confining optical fibers for mode division multiplexing. Nat. Commun. 10 https://doi.org/10.1038/s41467- 019-12401-4.

Napiorkowski, M., Kasztelanic, R., & Buczynski, R. (2024). Optimization of spatial mode separation in few-mode nanostructured fibers with generative inverse design networks. Engineering Applications of Artificial Intelligence, 133, 107955. https://doi.org/10.1016/j.engappai.2024.107955

Handam A, Al Smadi T. Multivariate analysis of efficiency of energy complexes based on renewable energy sources in the system power supply of autonomous consumer. International Journal of Advanced and Applied Sciences 2022;9(5):109-18.DOI: https://doi.org/10.21833/ijaas.2022.05.014

Gaeid KS, Homod RZ, Mashhadany YA, Smadi TA, Ahmed MS, Abbas AE. Describing Function Approach with PID Controller to Reduce Nonlinear Action. International Journal of Electrical and Electronics Research 2022;10(4):976-83.

Y. Zhou, Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimization, Renewable Energy 2023; [202) 1324–1341.

Al-Husban Y, Al-Ghriybah M, Handam A, Al Smadi T. Residential Solar Energy Storage System: State of the Art, Recent Applications, Trends, and Development. Journal of Southwest Jiaotong University 2022;57(5). https://doi.org/10.35741/issn.0258-2724.57.5.61

Al-Agha OI, Alsmadi KA. Overview of model free adaptive (MFA) control technology. IAES International Journal of Artificial Intelligence 2018 ;7(4):165. DOI: https://doi.org/10.11591/ijai.v7.i4.pp165-169

Gaeid KS, Al Smadi T, Abubakar U. Double control strategy of PMSM rotor speed-based traction drive using resolver. Results in Control and Optimization 2023;13:100301.DOI: https://doi.org/10.1016/j.rico.2023.100301

Pagliaro M, Meneguzzo F. Digital Management of Solar Energy En Route to Energy Self‐Sufficiency. Global Challenges 2019 ;(8):1800105.

Al Smadi TA. Computer application using low cost smart sensor. International Journal of Computer Aided Engineering and Technology 2012;4(6):567-79.DOI: https://doi.org/10.1504/ijcaet.2012.049572

Shaker AM. Optimum Design of Parabolic Solar Collector with Exergy Analysis. Tikrit Journal of Engineering Sciences 2017; 24(4):94-75. DoI: https://doi.org/10.25130/tjes.24.4.0

Abbasi A, Sultan K, Aziz MA, Khan AU, Khalid HA, Guerrero JM, Zafar BA. A novel dynamic appliance clustering scheme in a community home energy management system for improved stability and resiliency of microgrids. IEEE Access. 2021 13; 9:142276-88.

Zapar WM, Gaeid K, Mokhlis HB, Al Smadi TA. Review of the most recent articles in fault tolerant control of power plants 2018–2022. Tikrit Journal of Engineering Sciences 2023; 30(2):103-13. https://doi.org/10.25130/tjes.30.2.11

Hasanien HM. Performance improvement of photovoltaic power systems using an optimal control strategy based on whale optimization algorithm. Electric Power Systems Research 2018 ; 157:168-76.

Al Smadi T, Handam A, Gaeid KS, Al-Smadi A, Al-Husban Y. Artificial Intelligent Control of Energy Management PV System. Results in Control and Optimization 2023; 100343. DOI: https://doi.org/10.1016/j.rico.2023.100343[29]

Al-Husban, Y., Al-Ghriybah, M., Gaeid, K. S., Takialddin, A. S., Handam, A., & Alkhazaleh, A. H. Optimization of the Residential Solar Energy Consumption Using the Taguchi Technique and Box-Behnken Design: a Case Study for Jordan. International Journal on Energy Conversion (IRECON) 2023); 11(1), 25. https://doi.org/10.15866/irecon.v11i1.22672

Alhasnawi B, Jasim B, Siano P, Guerrero J. A novel real-time electricity scheduling for home energy management system using the internet of energy. Energies 2021, 14, 3191.

Shatnan, W. A., Almawlawe, M. D. H., & Jabur, M. A. A.-A. (2023). Optimal Fuzzy-FOPID, Fuzzy-PID Control Schemes for Trajectory Tracking of 3DOF Robot Manipulator . Tikrit Journal of Engineering Sciences, 30(4), 46–53. https://doi.org/10.25130/tjes.30.4.6

Franco P, Martínez JM, Kim YC, Ahmed MA. A framework for iot based appliance recognition in smart homes. IEEE Access. 2021;9:133940-60. https://doi.org/10.1109/ACCESS.2021.3116148

Gaeid KS, Al Smadi T, Abubakar U. Double control strategy of PMSM rotor speed-based traction drive using resolver. Results in Control and Optimization 2023;13:100301. https://doi.org/10.2139/ssrn.4548138

Trrad I, Smadi TA, Al_Wahshat H. Application of Fuzzy Logic to Cognitive Wireless Communications. International Journal of Recent Technology and Engineering (IJRTE) 2019;(3):2228-34. https://doi.org/10.35940/ijrte.b2065.098319

Al-Maitah M, Al Smadi TA, Al-Zoubi HQ. Scalable User Interface. Research Journal of Applied Sciences, Engineering and Technology 2014;7(16):3273-9. https://doi.org/10.19026/rjaset.7.671

Al-Smadi TA, Al-Wahshat H. System identification of the logical object and logical acupuncture. International Journal of Physical Sciences 2011; 6(15):3771-7.

Hussein, A. L., Trad, E., & Al Smadi, T. (2018). Proactive algorithm dynamic mobile structure of Routing protocols of ad hoc networks. IJCSNS, 18(10), 86.

Al Smadi, T., & Al-Taweel, F. M. (2022). Microstrip patch Antenna Array for Wireless Design Applications. Journal of Advanced Sciences and Engineering Technologies, 5(1), 66-75.

Mohanty, M. N., Satrusallya, S., & Al Smadi, T. (2022). Antenna selection criteria and parameters for IoT application. Printed Antennas, 283-295.

Takialddin, A. S., Al Smadi, K., & AL-Smadi, O. O. (2017). High-Speed for Data Transmission in GSM Networks Based on Cognitive Radio. American Journal of Engineering and Applied Sciences, 10(1), 69-77.

Al-Sawalha, A., & Al Smadi, T. (2018). Microstrip Patch Antenna Radiation Variation of Quality Factors and Bandwidth of a Conically Depressed. Journal of Advanced Sciences and Engineering Technologies, 1(1), 7.

Takialddin, A. S. (2022). Performance Study of Broadband and a Dual-Band Antenna-Array of Telecommunication Systems. Anbar Journal of Engineering Sciences, 13(2), 74-83.

Al-Wahshat, H., & Al Smadi, T. A. (2011). Design & Implementation Networks operation for ATM Technology-Based high Performance Computing. Egypt. Comput. Sci. J., 35(1).

Handam, A., & Ababneh, M. (2022). Artificial neural networks for voice activity detection Technology. Journal of Advanced Sciences and Engineering Technologies, 5(1), 23-32.

Van Uden, R.G.H., Correa, R.A., Lopez, E.A., Huijskens, F.M., Xia, C., Li, G., Schülzgen, A., De Waardt, H., Koonen, A.M.J., Okonkwo, C.M., 2014. Ultra-high-density spatial division multiplexing with a few-mode multicore fibre. Nat. Photonics 8, 865–870. https://doi.org/10.1038/nphoton.2014.243.

Veettikazhy, M., Kragh Hansen, A., Marti, D., Mark Jensen, S., Lykke Borre, A., Ravn Andresen, E., Dholakia, K., Eskil Andersen, P., 2021. BPM-Matlab: an open-source optical propagation simulation tool in MATLAB. Opt Express 29, 11819. https://doi. org/10.1364/oe.420493.

Xie, Y., Pei, L., Zheng, J., Ning, T., Li, J., Ai, B., He, R., 2020. Design and characterization of nanopore- assisted weakly-coupled few-mode fiber for simpler MIMO space division multiplexing. IEEE Access 8, 76173–76181. https://doi.org/10.1109/ ACCESS.2020.2989299.

Yan, H., Li, S., Xie, Z., Zheng, X., Zhang, H., Zhou, B., 2017. Design of PANDA ring-core fiber with 10 polarization-maintaining modes. Photon. Res. 5, 1. https://doi.org/ 10.1364/prj.5.000001.

Zhao, J., Tang, M., Oh, K., Feng, Z., Zhao, C., Liao, R., Fu, S., Shum, P.P., Liu, D., 2017. Polarization-maintaining few mode fiber composed of a central circular-hole and an elliptical-ring core. Photon. Res. 5, 261. https://doi.org/10.1364/prj.5.000261.