Resource allocation control method of unmanned aerial vehicle assisted Internet of Things communication device

Abstract

The invention discloses a resource allocation control method for an unmanned aerial vehicle assisted Internet of Things communication device, which comprises the following steps of: collecting sensorinformation by using an unmanned aerial vehicle as a movable air control center, and sending a corresponding command signal to an actuator at the same time. According to the Internet of Things communication network, a novel limited code length ultra-reliable low-delay communication transmission mode is adopted, and the low-delay requirement of a system is met at the same time under the condition that the reliability of communication is guaranteed; different from the traditional Internet of Things system, the unmanned aerial vehicle has flexible mobility and controllability and has a better wireless channel environment with the Internet of Things nodes, so that the communication reliability can be greatly improved, the resource utilization rate and efficiency of the system are maximized, and the performance of the whole system is improved.

Description

technical field [0001] The invention relates to the application field of UAV technology and the field of Ultra-Reliable Low-Latency Communication (URLLC), and specifically relates to a resource allocation control method for a UAV-assisted Internet of Things communication device. Background technique [0002] The Internet of Things technology has entered a new wave of development, and a large number of new devices and nodes will be connected to the network and generate a large amount of data. In the future, IoT applications will access a large number of nodes and serve multiple different business types at the same time, which requires IoT applications to have more performance characteristics to meet the access requirements of different nodes and the performance requirements of different businesses. In traditional wireless communication research, previous designs often improve throughput by optimizing wireless resource allocation. With the further development of communication...

AI Technical Summary

Problems solved by technology

[0006] Most of the existing Internet of Things communication research is based on the traditional wireless communication transmission mode, and the information attainable rate of Shannon theory is used as the mathematical basis to model, and the purpose of improving the information throughput is achieved through the optimal allocation of resources; however, in the future, the time delay In sensitive IoT applications, the code length of signal transmission is limited, so the Shannon theory is no longer applicable; URLLC technology needs to be combined to meet the delay requirements and reduce the packet error rate in IoT applications with limited code length. Improve communication reliability

In addition, traditional designs are generally based on fixed base stations, making the communication system inflexible

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