Anti-interference unmanned aerial vehicle-IOS auxiliary wireless communication energy collection method
By using reinforcement learning and alternating optimization algorithms in the UAV-IOS communication system, the drone trajectory, transmission power and IOS component configuration are optimized, and the problem of low system energy efficiency caused by drone energy limitation and malicious interference is solved, and high-energy-efficient and high-quality communication services are achieved.
Patent Information
- Application Number
- CN202411938700.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2025-04-01
- Estimated Expiration
- 2044-12-26
AI Technical Summary
In the prior art, the energy limitation of drones limits the communication coverage range, and the increase in mobile frequency leads to low energy efficiency of the system. Especially when there are malicious jammers in a dynamic environment, the service quality and energy efficiency of the system are seriously affected.
The anti-interference drone-IOS assisted wireless communication energy acquisition method is adopted, and the energy acquisition method of the UAV-IOS is modeled and optimized by modeling and optimizing the objective function, and reinforcement learning method and alternating optimization algorithm (AO) are used to jointly optimize the trajectory, transmission power, IOS component call and phase shift of the UAV-IOS, thereby improving the energy efficiency and service quality of the system.
It achieves the maximum system energy efficiency, ensure service quality in a malicious interference environment, and effectively combats interference attacks, improving the overall performance of the system.
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Figure CN119743782A_ABST
Abstract
Citation Information
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