A resource allocation control method for a UAV-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, using an unmanned aerial vehicle as a movable air control center, collecting sensor information, and sending corresponding command signals to actuators at the same time; the Internet of Things communication The network uses a new limited code length ultra-reliable and low-latency communication transmission mode to meet the low-latency requirements of the system while ensuring the reliability of communication; Mobility and maneuverability, together with a better wireless channel environment between it and IoT nodes, can greatly improve communication reliability, maximize system resource utilization and efficiency, and improve the performance of the entire system.

Description

Technical field [0001] The invention relates to the field of UAV technology and ultra-reliable low-delay communication (URRLLC), which specifically relates to a resource allocation control method of drone auxiliary IoT communication devices. Background technique [0002] Internet of Things technology has stepped into a new generation of development waves, massive new devices and nodes will access the network and produce a lot of data. Future Internet of Things applications will also access a large number of nodes and serve in a variety of different business types, which requires that the Internet applications must have more performance characteristics to meet different nodes of access requirements and performance requirements of different services. In traditional wireless communication research, previous design tends to improve throughput through wireless resource allocation. With the further development of the communication network, the emergence of some emerging services makes ...

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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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