Method for path planning based on optical communication network

By generating link bottleneck and resilience indices and combining them with threshold analysis, the use of spectrum resources in optical communication networks is dynamically adjusted, solving the problem of low link utilization in traditional path planning methods and realizing intelligent and adaptive optimization of the network.

CN121334538BActive Publication Date: 2026-05-29CHINESE PEOPLES LIBERATION ARMY UNIT 61516
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Patent Information

Application Number
CN202511916411.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-12-18
Publication Date
2026-05-29
Estimated Expiration
2045-12-18

AI Technical Summary

Technical Problem

Traditional optical communication network path planning methods ignore the bottleneck characteristics of different topologies and the requirements of spectrum continuity, resulting in low link utilization, especially in spectrum fragmentation environments where it is difficult to efficiently utilize spectrum resources.

Method used

By acquiring topology management data and link signal monitoring data, a link bottleneck index and a resilience index are generated. Combined with bottleneck thresholds and resilience thresholds, the aggregateable space of spectrum resources in the optical communication network is analyzed in real time, and an intelligent path planning method is output to dynamically adjust the spectrum bandwidth and link utilization.

Benefits of technology

It enables intelligent and adaptive optimization of optical communication network path planning, improves network stability, maximizes spectrum resource utilization, reduces latency, and effectively distinguishes between instantaneous bursts and long-term congestion.

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Abstract

The present application relates to the technical field of optical communication transmission, and discloses a path planning method based on an optical communication network, comprising the following steps: step one: connecting the optical communication network and an optical spectrum analyzer through a network, acquiring management data of a topology structure and signal monitoring data of all links, and classifying and forming a structure data set and a transmission data set, and real-time sensing a network state; step two: real-time analyzing link transmission bottlenecks of different topology structures, generating corresponding link bottleneck indexes, and efficiently positioning the link bottlenecks; step three: real-time analyzing the aggregable space of spectrum resources of the optical communication network, generating corresponding elasticity indexes, and directly reflecting the continuity and size of the available space of the spectrum resources; step four: setting bottleneck threshold values and elasticity threshold values with fixed numerical values, combining the link bottleneck indexes and the elasticity indexes, distinguishing transient shocks and persistent overloads, outputting corresponding path planning methods, and intelligently integrating high link utilization.
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