Research on Data Scheduling Control of UAV Relay Communication Based on Improved Machine Learning
To solve the high interruption probability of data scheduling behavior in unmanned aerial vehicle(UAV)communica-tion networks and achieve the reasonable allocation of communication resources,a data scheduling control method for UAV relay com-munication based on improved machine learning is proposed.The BMRC protocol is combined to design the basic network architec-ture,and set the URLLC data link unit,the relevant communication data samples are combined to solve specific values of communica-tion interruption probability,and achieve the joint optimization processing of drone relay communication network resources.The time slot allocation parameters and bandwidth allocation parameters are separately calculated,and based on this,the drone relay location is determined to achieve the scheduling of relay communication resources.According to the machine learning algorithm,the PC A im-provement features are defined to improve the machine learning algorithm,and then combine with the optimal controller closed-loop to achieve the control of communication data scheduling behavior.The experimental results show that under the effect of improved ma-chine learning algorithm,with the increase of relay data,the maximum outage probability of data scheduling behavior in the UAV communication network only reaches by 7.3％,which effectively reduces the outage probability and meets actual application require-ments of reasonable allocation communication resources.
improving machine learningrelay communicationdata schedulingdata link unitBMRC protocoltime slot band-widthoptimal controllerinterruption probability
万方数据
维普
