Optimization method of energy-saving communication system based on solar energy UAV

Abstract

The invention provides an optimization method for an energy-saving communication system based on a solar unmanned aerial vehicle. First, the solar unmanned aerial vehicle is used as a mobile base station to provide communication services for users, and at the same time, according to the positional relationship between the unmanned aerial vehicle and the user, an Then, according to the system model, calculate the distance between the user and the drone, and then obtain the transmission rate of the drone, the energy consumption of the drone, and the energy absorption of the drone; Finally, through joint optimization of the flight radius and flight inclination of the UAV, the optimal flight path and flight inclination are obtained, thereby obtaining the optimal energy efficiency. At the same time, according to the established UAV energy efficiency model, the In the process of performing tasks, the ratio of throughput to energy consumption of drones is used to measure the efficiency of drones in performing tasks. Compared with common unmanned aerial vehicles performing tasks, the present invention has better battery life and better performance.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to an optimization method for an energy-saving communication system based on a solar-powered drone. Background technique [0002] Future wireless communication systems will provide users with ubiquitous, sustainable high data rate communication services. Due to the on-demand operation and reconfiguration of UAVs, it can be deployed more quickly and flexibly. It is considered to be a promising new model and has attracted more and more people's interest. It has been successfully used in operations such as reconnaissance and surveillance, deception jamming, and battlefield assessment. [0003] Unmanned aerial vehicles are better able to adapt to harsh and difficult environments and perform complex and dangerous tasks than manned aircraft. For example, drones could be deployed as secondary relays to provide reliable wireless connectivity to two or more remote users or g...

AI Technical Summary

Problems solved by technology

Rotor UAVs rely on the lift generated by multiple rotors to balance the gravity of the aircraft. They can hover at a certain point in the air and can fly at any speed within a certain speed range. The load is small, but the flying height is low. The time is short, and it can only work in a small area

For fixed-wing UAVs, it has long battery life, large load, fast speed, and can operate in a large area, but cannot hover at a certain point. The flying height is higher than that of rotary-wing UAVs, and it can be controlled remotely. Fixed-wing UAVs typically have larger payloads and higher speeds than rotary-wing UAVs

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