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.

CN119743782AActive Publication Date: 2025-04-01XIAN UNIV OF TECH

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

Technical Problem

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.

Method used

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.

Benefits of technology

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.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an anti-interference unmanned aerial vehicle-IOS auxiliary wireless communication energy collection method, and the method comprises the steps: 1), carrying out the modeling of a BS total transmission power constraint; (2) modeling is carried out for BS-UAV link communication; (3) modeling is carried out for UAV-IOTD link communication, and an expression of the data rate of IOTD i in a time slot is obtained in a UAV-IOS network; 4) constructing a UAV-IOS energy harvesting model, and obtaining an expression of energy consumed by the UAV-IOS auxiliary communication system in the t time slot; and 5) optimizing the formulation definition of the objective function, solving the joint problem of continuous optimization by using a reinforcement learning method, and obtaining the final phase shift by using an AO algorithm. The invention belongs to the technical field of communication system energy control, and solves the problems in the prior art that the communication coverage range is limited due to energy limitation of an unmanned aerial vehicle, and the system energy utility is low due to increase of the movement frequency of the unmanned aerial vehicle.
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Citation Information

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