An On-Demand Routing Agent System and Generation Method for Low-Earth Orbit Satellite Networks

By constructing an on-demand routing intelligent agent system for low-Earth orbit satellite networks, and utilizing large language models and multi-strategy parallel computing, the problem of the inability to generate routing schemes on demand in existing technologies is solved, thereby realizing autonomous intelligent routing management and efficient quality of service assurance for low-Earth orbit satellite networks.

CN121567192BActive Publication Date: 2026-05-26BEIJING UNIV OF POSTS & TELECOMM
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Patent Information

Application Number
CN202610077133.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-21
Publication Date
2026-05-26
Estimated Expiration
2046-01-21

AI Technical Summary

Technical Problem

Existing routing algorithms for low-Earth orbit satellite networks rely on preset strategies or fixed algorithms, which cannot generate routing schemes on demand according to users' real-time service needs. They lack adaptability and are difficult to achieve efficient routing selection under dynamic topologies and diverse service requirements.

Method used

A demand-based routing intelligent agent system for low-Earth orbit satellite networks is constructed. It uses a large language model to parse user needs, combines a network perception module and an execution module to achieve closed-loop management of the entire process, dynamically selects the optimal satellite communication path, optimizes access satellite selection using multi-strategy parallel computing and an information entropy model, and selects the optimal routing path based on QoS parameter types.

Benefits of technology

It has achieved autonomous and intelligent routing management of low-Earth orbit satellite networks, improving service quality and intelligence, adapting to complex environments and sudden tasks, and providing efficient response to diverse communication needs.

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Abstract

This application provides an on-demand routing intelligent agent system and generation method for low-Earth orbit (LEO) satellite networks, relating to the field of satellite communication technology. The intelligent agent system includes a planning and decision-making module, a network perception module, and an execution module. The planning and decision-making module includes a large model integrating carefully designed system prompts and parses user request text to obtain communication request parameters. The network perception module is used to perceive the time-varying network state of the LEO satellite network and output a network topology map. The execution module includes a satellite access tool and a routing selection tool. The satellite access tool is used to determine the uplink and downlink access satellites corresponding to the latitude and longitude coordinates of the originating and ending users based on the network topology map and the uplink and downlink access satellites, using QoS parameter values ​​as constraints and a routing calculation strategy corresponding to the QoS parameter type, to determine the routing path between the uplink and downlink access satellites, thereby improving the service quality and intelligence level of the LEO satellite network.
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