Unmanned aerial vehicle base station enhanced network optimization method for narrow-band Internet of Things

Abstract

The invention discloses an unmanned aerial vehicle base station enhanced network optimization method for a narrow-band Internet of Things. The method comprises the following steps: the height is optimized when deploying an unmanned aerial vehicle base station through the radius of a certain load base station; the unmanned aerial vehicle base station covers all congestion networks and paralyzed networks in the load base station to the maximum extent; then, the deep Q learning network is applied to optimize the path for deploying the unmanned aerial vehicle base station, it is ensured that the unmanned aerial vehicle base station can arrive at the designated deployment position in the shortest time, then shunt service is provided for the network or an airspace communication network is established, and therefore the communication service quality is improved. According to the method, the intelligence of the unmanned aerial vehicle is improved through deep reinforcement learning, human resources are reduced, the congestion network is optimized, network paralysis is solved, the communication service quality of the network is improved, and the purpose of optimizing the network is achieved.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and in particular relates to a method for optimizing a UAV base station enhancement network oriented to the narrowband Internet of Things. Background technique [0002] At present, the development of drones is mainly used in street view shooting, monitoring and inspection, power inspection, traffic monitoring, post-disaster rescue and military, etc. With the popularization of the fifth-generation mobile communication technology, drone technology is increasingly used In the field of communications, the current relatively mature method replaces manual detection and guarantee of base stations and communication lines, which greatly reduces costs and improves the efficiency of maintenance and optimization work. However, the fifth-generation mobile communication technology also brings new challenges. Future Internet terminal equipment The number will continue to grow, and the breakthroug...

AI Technical Summary

Problems solved by technology

[0004] The current research on UAV base stations includes research on the coverage capabilities of UAV base station emergency communications, research on resource allocation methods for UAV base stations in emergency scenarios, and research on UAV base station site selection and path optimization methods. Wait, but there are relatively few methods for optimizing the UAV base station network

Images