Communication scheduling method and system

By acquiring satellite clock signals, calculating phase differences, and constructing a three-dimensional mesh model, combined with a high-precision clock reference and optimization algorithms, the synchronization and resource allocation problems in aircraft communication in dense airspace were solved, achieving low-conflict and efficient communication scheduling.

CN121442402BActive Publication Date: 2026-05-08SHANGHAI LIONWEI INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202511906939.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-12-17
Publication Date
2026-05-08
Estimated Expiration
2045-12-17

AI Technical Summary

Technical Problem

Existing technologies struggle to simultaneously meet time synchronization accuracy, spatial resource adaptation, spatiotemporal collaborative scheduling, and environmental interference resistance in dense airspace aircraft communication scenarios, resulting in high communication conflict rates, low resource utilization, and poor synchronization stability, making it impossible to support conflict-free and efficient communication scheduling for large-scale aircraft.

Method used

By acquiring satellite clock signals, calculating phase differences, and using the Kalman filter algorithm to obtain a high-precision clock reference, a three-dimensional mesh model and spacecraft position-time slot correlation data are constructed. Combined with an improved LSTM-TCN hybrid neural network and the MOEA/D multi-objective algorithm, an optimal resource pre-allocation scheme is achieved.

Benefits of technology

It achieves low communication conflict, high resource utilization and high synchronization stability in dense airspace aircraft communication scenarios, and supports conflict-free and efficient communication scheduling for large-scale aircraft.

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Abstract

The application relates to a communication scheduling method and system. The communication scheduling method comprises the following steps: acquiring a satellite clock signal; calculating a phase difference between the satellite clock signal and a local clock signal; obtaining a high-precision clock reference based on the phase difference and a Kalman filtering algorithm; obtaining a time slot allocation matrix and aircraft position-time slot association data based on the high-precision clock reference; constructing a three-dimensional grid model based on the high-precision clock reference; obtaining a predicted trajectory of the aircraft based on the three-dimensional grid model and the aircraft position-time slot association data; and obtaining an optimal resource pre-allocation scheme based on the three-dimensional grid model, the predicted trajectory and the time slot allocation matrix. When the above scheme is applied to a dense airspace aircraft communication scenario, the communication conflict is low, the resource utilization rate is high, the synchronization stability is good, and large-scale aircraft collision-free and efficient communication scheduling can be supported.
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