An Energy Efficiency Optimization Method for Auxiliary Backscatter Communication System of Multi-rotor UAV

Abstract

The invention discloses an energy efficiency optimization method for a multi-rotor drone-assisted backscatter communication system. The multi-rotor drone acts as a mobile signal transmitter and a signal receiver backscatter device to collect signals emitted by the multi-rotor drone To provide energy for its own operation, according to the positional relationship between the multi-rotor UAV and the backscatter device and the communication channel conditions, the system mathematical model and communication channel model of the multi-rotor UAV and the backscatter device are obtained; then according to the system mathematical model , communication channel model to calculate the distance between the multi-rotor UAV and the backscattering device, the energy loss rate, and obtain the motion model and energy consumption model of the multi-rotor UAV; finally, under the constraints of signal-to-noise ratio and throughput, Using the clustering algorithm with constraints and the TSP problem solving algorithm, the optimal flight path and optimal energy efficiency of the multi-rotor UAV are obtained.

Description

An energy efficiency optimization method for a multi-rotor UAV-assisted backscatter communication system technical field The present invention relates to the technical field of wireless communication, be specifically related to a kind of multi-rotor unmanned aerial vehicle-assisted backscatter communication system traditional energy efficiency optimization methods. Background technique [0002] The Internet of Things is a link between the physical world and the digital world, and is a key enabling technology for ubiquitous perception and computing. The large-scale deployment of IoT is limited by sensor energy consumption, deployment and maintenance costs. Therefore, how to break the above constraints The shackles of it have become a common concern of both academia and industry. Backscatter communication technology because it makes the sensor unnecessary Assembling batteries instead captures energy from surrounding signal transmitters or ambient wireless signals for c...

AI Technical Summary

Problems solved by technology

The communication distance of the backscatter communication system is limited, and the distance between the receiver and the backscatter device must be kept within its communication range (on the order of hundreds of meters). Therefore, in large-scale IoT application scenarios, in order to cover all backscatter The number of equipment and receivers is likely to become extremely large, and the deployment of a large number of receivers will significantly increase the construction cost of the Internet of Things

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