LEO Satellite Communication Path Setting Using Pre-Trained Estimation Model
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Solution Overview
Problem
The performance of clustered low earth orbit satellite networks deteriorates due to link disruptions and frequent topology changes, which conventional routing protocols struggle to address effectively, leading to delays in responding to link disruptions and network performance degradation.
Innovation Solution
A method and device that utilize a pre-trained communication-path estimation model to generate and adjust communication paths based on topology information, determining path validity and switching to alternative paths when necessary, ensuring fast and accurate data transmission without separate path searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional routing protocols are used in clustered low earth orbit satellite networks, then the system structure is simple and easy to implement, but the response time to link disruptions is delayed and network performance deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing multiple alternative communication paths before link disruptions occur. The topology information is pre-generated and stored in the database, enabling immediate path switching when disruptions happen, thus eliminating the need for time-consuming real-time path calculations and improving response time while maintaining network performance
Solution Approach 2:
The system dynamically adapts to changing network conditions by continuously updating topology information and communication paths based on satellite positions and link statuses. The pre-calculated paths are regenerated periodically and updated in real-time when topology changes are detected, allowing the system to maintain optimal performance despite the dynamic nature of LEO satellite networks
2Adaptability or versatility
If frequent topology changes are accommodated in clustered low earth orbit satellite networks, then the adaptability to network conditions is improved, but the communication path stability deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-calculating multiple alternative communication paths before topology changes occur. When topology changes are detected, the system immediately switches to pre-prepared alternative paths from the database, avoiding the instability caused by real-time path calculations during transitions while maintaining adaptability to new network conditions
Solution Approach 2:
The system provides beforehand cushioning by maintaining a database of pre-calculated alternative communication paths that serve as buffers during topology changes. These pre-prepared paths cushion the impact of frequent topology changes on communication stability, ensuring continuous stable communication even as the network topology evolves
Data Source
AI summary
Proposed is a method for setting a communication path in a clustered low earth orbit satellite network including a plurality of low earth orbit satellites. The method may include generating topology information of each low earth orbit satellite based on orbit information of the clustered low earth orbit satellite network. The method may also include estimating a communication path between the plurality of low earth orbit satellites from the topology information using pre-trained communication-path estimation model. The method may further include setting a final communication path of the clustered low earth orbit satellite network by determining validity of the estimated communication path.