Proactive cache routing method and system for satellite content distribution networks

By employing deep learning models and programmable routing protocols in satellite content delivery networks, semantic information of content is extracted and proactive caching routing paths are planned, solving the problem of low caching efficiency in satellite content delivery networks and achieving efficient caching and routing co-optimization.

CN121309446BActive Publication Date: 2026-06-26INNOVATION ACAD FOR MICROSATELLITES OF CAS +1
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Patent Information

Application Number
CN202511671801.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-14
Publication Date
2026-06-26
Estimated Expiration
2045-11-14

AI Technical Summary

Technical Problem

The caching and scheduling mechanisms of traditional terrestrial content delivery networks cannot be directly applied to satellite content delivery networks, resulting in low efficiency of active caching and the consumption of a large amount of inter-satellite link resources, which reduces transmission efficiency.

Method used

A deep learning model is used to extract semantic information features of the content, calculate semantic similarity, plan active caching routing paths based on the semantic caching priority values ​​of satellite nodes, and implement caching decisions during content distribution through a programmable routing protocol.

Benefits of technology

It improved the cache hit rate of the satellite content delivery network, reduced transmission latency and network traffic load, and optimized resource utilization.

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Abstract

The application relates to an active cache routing method and system of a satellite content distribution network, the satellite content distribution network comprising at least one satellite node. The method comprises: extracting first semantic information features of distributed content and second semantic information features of historical popular content by using a deep learning model; calculating semantic similarity between the first semantic information features and the second semantic information features; calculating a satellite semantic cache priority value of a satellite node corresponding to the distributed content according to the semantic similarity; and planning an active cache routing path of the distributed content according to the satellite semantic cache priority value of each satellite node. The application can enable the satellite to automatically make a cache decision of the distributed content in the content distribution process, and improve the efficiency of active cache by combining content distribution and cache deployment.
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