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Research On Adaptive Handover Algorithm Based On Cross-area Boundary In High-speed Railway Scenario

Posted on:2021-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:H ZhuFull Text:PDF
GTID:2512306200953109Subject:Electronics and Communications Engineering
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As the rapid development of information and communication technology,the development of high-speed trains has higher requirements in the world.In the country's mid-and long-term development process,railway construction has become one of the goals that need to be improved and optimized.However,with the significant increase in train speed,it becomes more and more challenging to achieve seamless handover of communications when trains switch between neighboring cells.During the handover process,problems such as ping-pong handover and Doppler frequency shift will cause high signaling congestion,which will greatly reduce the handover trigger rate and success rate,and even cause communication interruption,which will greatly improve the user's communication experience reduce.When the train is handed over,if the handover area is covered by multiple base stations,which base station the train chooses for access communication becomes the focus of this study.In other words,in the presence of multiple channels,which channel is selected for access can ensure that the train has a high communication quality while having a long access time to ensure that passengers have a better communication experience,become a critical issue to be solved.In this paper,by consulting the literature and analyzing the existing technology,and researching the adaptive switching algorithm for the cross-border boundary in the high-speed railway scene,the main research points and innovations are as follows:Firstly,First,an adaptive handover scheme based on improved genetic algorithm is proposed.Based on the genetic algorithm,under high-speed characteristics,optimize the relevant parameters in the handover decision process,and introduce SCP(Satisfactory Communication Probability,satisfactory communication probability),combined with the genetic algorithm,dynamically select for the different running speed of the train The hysteresis tolerance of fast switching requirements enables trains to adaptively trigger the handover process according to speed changes to ensure excellent communication quality.Secondly,a channel selection scheme for multiple base stations based on the MAB model is proposed to solve the problem that the switching band is distributed by multiple base stations during the high-speed train handover.Based on the UCB(Upper-Confidence Bound)algorithm,by setting the channel idle difference factor,the algorithm can quickly converge on the optimal channel,select the most suitable switching base station for train communication,and further use the optimal channel selection ratio and successful transmission Rate and cumulative access loss are used as evaluation criteria to analyze the performance of the algorithm.Finally,MATLAB simulation platform is used to analyze the proposed scheme to verify the theoretical possibility of the algorithm.The experimental results show that both schemes proposed in this paper have good communication performance and achieve the expected results.
Keywords/Search Tags:handover, Genetic algorithm, hysteresis tolerance, satisfactory communication probability, MAB, UCB, channel selection
PDF Full Text Request
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