Intelligent Wavelength and Frequency Assignment in Elastic Optical Networks

Authors

  • Yatan C. Maharaj Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA. Author

Keywords:

elastic optical networks; wavelength assignment; frequency assignment; routing and spectrum allocation; artificial intelligence; network governance; sustainability; resilience; fairness; optical infrastructure

Abstract

Elastic optical networks have emerged as a foundational infrastructure for accommodating heterogeneous, high-capacity, and latency-sensitive digital services within a shared optical substrate. Unlike conventional wavelength-division multiplexing systems that operate on a fixed frequency grid, elastic optical networks allocate spectrum in finer granularities and permit variable-width channels, thereby improving spectral efficiency and enabling more flexible service provisioning. At the center of this flexibility lies the problem of intelligent wavelength and frequency assignment, which coordinates routing, modulation, spectrum allocation, regeneration, and restoration across physical and logical layers. This paper examines wavelength and frequency assignment as a system-level challenge rather than a narrow combinatorial optimization problem. It argues that intelligent assignment must balance spectral efficiency against fragmentation, resilience, operational complexity, energy consumption, fairness, and governance. The discussion considers architectural foundations, control-plane intelligence, machine learning for monitoring and failure management, deterministic service guarantees, infrastructure investment, and policy implications. Particular attention is given to the structural trade-offs that arise when operators seek to maximize utilization while preserving robustness and equitable access. The paper also explores how automation, telemetry, and cross-domain coordination shape deployment pathways in national and regional networks. It concludes that intelligent wavelength and frequency assignment is best understood as a socio-technical capability, one that requires not only improved algorithms but also transparent governance, interoperable standards, sustainable infrastructure planning, and institutional accountability.

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Published

2026-09-04