Thermal-Drift-Aware Adaptive Wavelength Stabilization Model for Silicon-Photonic Optical Communication Systems

Year : 2026 | Volume : 16 | Issue : 02 | Page : 11 17
By

Sidhartha Kumar Samal,

Bibhu Prasad Ganthia,

  1. Assistant Professor, Department of Electrical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, India
  2. Assistant Professor,, Department of Electrical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, India

Abstract

The increasing integration density and operating speed of silicon-photonic communication devices have intensified the influence of thermo-optic effects on wavelength stability, resonance alignment, optical transmission, and communication reliability. Temperature variations modify the effective refractive index and physical dimensions of photonic structures, resulting in resonance displacement and degradation of wavelength-dependent optical performance. This paper proposes a Thermo- Optical Resonance Tracking (TORT) model for adaptive wavelength stabilization in integrated optical communication systems. The proposed formulation establishes a coupled mathematical relationship between effective refractive index, thermal expansion, resonant wavelength, optical transmission, temperature-dependent optical loss, absorbed power, and thermal dynamics. A closed thermo-optical feedback mechanism is developed to describe the interaction . An adaptive wavelength-correction equation is subsequently introduced to compensate for temperature-induced resonance displacement. Furthermore, a unified optimization function incorporating wavelength error, optical loss, absorbed power, temperature deviation, and bit-error performance is formulated. A local thermal stability condition is derived to identify stable operating regions and prevent excessive thermo-optical feedback. The proposed model provides a compact analytical framework for evaluating and stabilizing wavelength-sensitive silicon-photonic devices under dynamically varying thermal conditions. The formulation applies to microring resonators, resonant modulators, optical filters, wavelength-division-multiplexed transceivers, and other integrated optoelectronic communication platforms for reliable next-generation optical communication applications.

Keywords: Silicon photonics, thermo-optic effect, wavelength stabilization, microring resonator, optical communication

[This article belongs to Trends in Opto-electro & Optical Communication ]

How to cite this article: Sidhartha Kumar Samal, Bibhu Prasad Ganthia. Thermal-Drift-Aware Adaptive Wavelength Stabilization Model for Silicon-Photonic Optical Communication Systems. Trends in Opto-electro & Optical Communication. 2026; 16(02):11-17.
How to cite this URL: Sidhartha Kumar Samal, Bibhu Prasad Ganthia. Thermal-Drift-Aware Adaptive Wavelength Stabilization Model for Silicon-Photonic Optical Communication Systems. Trends in Opto-electro & Optical Communication. 2026; 16(02):11-17. Available from: https://journals.stmjournals.com/toeoc/article=2026/view=260543

References

  1. Bogaerts W, Pérez D, Capmany J, Miller DAB, Poon J, Englund D, et al. Programmable photonic circuits. Nature. 2020;586(7828):207-216. doi:10.1038/s41586-020-2764-0. PMID:33028997.
  2. Wang X, Liu J. Emerging technologies in Si active photonics. J Semicond. 2018;39(6):061001. doi:10.1088/1674-4926/39/6/061001.
  3. Bogaerts W, De Heyn P, Van Vaerenbergh T, De Vos K, Kumar Selvaraja S, Claes T, et al. Silicon microring resonators. Laser Photonics Rev. 2012;6(1):47-73. doi:10.1002/lpor.201100017.
  4. Chrostowski L, Hochberg M. Silicon Photonics Design: From Devices to Systems. Cambridge: Cambridge University Press; 2015. doi:10.1017/CBO9781316084168.
  5. Sun C, Wade MT, Lee Y, Orcutt JS, Alloatti L, Georgas MS, et al. Single-chip microprocessor that communicates directly using light. Nature. 2015;528(7583):534-538. doi:10.1038/nature16454. PMID:26701054.
  6. Wang Z, Chen G, Ruan Z, Gan R, Huang P, Zheng Z, et al. Silicon-lithium niobate hybrid intensity and coherent modulators using a periodic capacitively loaded traveling-wave electrode. ACS Photonics. 2022;9(8):2668-2675. doi:10.1021/acsphotonics.2c00263.
  7. Sun J, Timurdogan E, Yaacobi A, Hosseini ES, Watts MR. Large-scale nanophotonic phased array. Nature. 2013;493(7431):195-199. doi:10.1038/nature11727. PMID:23302859.
  8. Feng X, Zhou W, Chen H, Ma Y, Tong Y. Photonics breakthroughs 2024: multidimensional integrated (de)multiplexers for optical fiber communications. IEEE Photonics J. 2025;17(3):1–9. doi:10.1109/JPHOT.2025.3570958.
  9. Wang J, Sciarrino F, Laing A, Thompson MG. Integrated photonic quantum technologies. Nat Photonics. 2020;14(5):273-284. doi:10.1038/s41566-019-0532-1.
  10. Feldmann J, Youngblood N, Karpov M, Gehring H, Li X, Stappers M, et al. Parallel convolutional processing using an integrated photonic tensor core. Nature. 2021;589(7840):52-58. doi:10.1038/s41586-020-03070-1. PMID:33408373.
  11. Xu X, Tan M, Corcoran B, Wu J, Boes A, Nguyen TG, et al. 11 TOPS photonic convolutional accelerator for optical neural networks. Nature. 2021;589(7840):44-51. doi:10.1038/s41586-020-03063-0. PMID:33408378.
  12. Xu J, Dong W, Huang Q, Zhang Y, Yin Y, Zhao Z, et al. Progress in silicon-based reconfigurable and programmable all-optical signal processing chips. Front Optoelectron. 2025;18(1):10. doi:10.1007/s12200-025-00154-6. PMID:40353883.

Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 21/09/2026
Accepted 22/09/2026
Published 23/09/2026
Publication Time 2 Days


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