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Research On Key Technologies Of Traffic Scheduling In LEO Satellite Communication System

Posted on:2022-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:X T LiFull Text:PDF
GTID:2518306575962399Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
With the development of space-time integration and satellite launch vehicle technology,it is possible to realize large-scale satellite communication.On the one hand,satellite communication can make up for the lack of coverage of ground communication system,on the other hand,as an emergency communication means,it has the advantages that other systems cannot replace.The maturity of satellite network application technology is of great significance to the country's commercial economy,national defense construction and people's life.However,although the delay of LEO satellite communication system is low and the radio wave propagation loss is small,there are still some problems.In the LEO satellite system,the space resources limited,and the establishment and maintenance of inter satellite links are complex,which makes the link unstable.Therefore,it is difficult to realize high quality communication service with LEO satellites.At present,many algorithms generate routing tables based on dynamic network state information,which lack of corresponding traffic balancing scheme.Under the above background,this paper proposes a key technology of low earth orbit(LEO)satellite communication system traffic scheduling,Based on the SDN architecture of LEO satellite network,this paper stu dies the network load balancing routing strategy assisted by machine learning algorithm so as to achieve the purpose of reasonable network traffic distribution and transmission.This paper takes the Leo polar orbit constellation satellite network coimmunication system as the research object.By comparing the delay data of the artificial intelligence algorithm scheme and the shortest path algorithm scheme under different load conditions,it is proved that the scheme is reliable.Experimental results show that the maximum link load rate is reduced by 15%to 20%compared with the shortest path algorithm.When the link load changes suddenly,it can quickly avoid the high load path and restore the stable transmission of network data.Path the traffic balance scheduling scheme designed in this paper can better solve the link congestion problem caused by uneven traffic load in LEO satellite comunication system.
Keywords/Search Tags:LEO, machine learning, load balancing, software defined network
PDF Full Text Request
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