Robust optimization method for power and interference unmanned aerial vehicle tracks in communication system

Abstract

The invention discloses a robust optimization method for power and interference unmanned aerial vehicle tracks in a communication system, and belongs to the technical field of wireless communication.According to the method, a safety communication network model containing an artificial interference unmanned aerial vehicle is established; an information source node S sends confidential informationto an information sink node D, meanwhile, an eavesdropping node E eavesdrops the confidential information, and an unmanned aerial vehicle U serves as an artificial interference source to send an interference signal to an eavesdropping user in the flight process to prevent eavesdropping so as to improve the safety communication rate of the system. Meanwhile, the communication model contains a plurality of no-fly zones J, the system can only obtain part of position information of eavesdropping nodes, and the method can perform robust optimization on the secure communication system under the condition of incomplete CSI (channel state information), bypasses a specific area in the flight process of the unmanned aerial vehicle, and is closer to a practical application occasion.

Description

technical field [0001] The invention relates to a robust optimization method for the trajectory of power and interference drones in a communication system, and belongs to the technical field of wireless communication. Background technique [0002] In wireless communication systems, due to the basic physical characteristics of electromagnetic waves, illegal users can eavesdrop on legitimate users' confidential information directly from the air interface. In today's increasingly informationized modern society, wireless communication is used in all walks of life, and how to carry out secure communication has become a very big topic. [0003] The traditional secure communication is based on the principle of cryptography, and the confidential information is encrypted by various encryption algorithms and then sent out on the air interface. Although illegal eavesdroppers can obtain confidential information, they cannot decrypt it, thus ensuring the security of communication. Howe...

AI Technical Summary

Problems solved by technology

Although part of the work considers the optimization algorithm under part of the channel state information, its source is generally UAV, and all links are subject to line-of-sight communication by default, and the no-fly zone that is common in practice is not considered.

"Cooperative Jamming for Secure UAV Communications With Partial Eavesdropper Information" [IEEE Access.PP.1-1.10.1109 / ACCESS.2019.2926741.] studied the algorithm for the joint optimization of the source UAV and the jamming UAV, but the information The source is specific to drones, difficult to implement in existing communication systems, and it does not take into account the presence of no-fly zones

There is no algorithm for trajectory and power optimization of jamming UAVs in the presence of no-fly zones in the information currently available.

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