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Research On UE Assisted Mobility Management In Dense Network

Posted on:2019-02-23Degree:MasterType:Thesis
Country:ChinaCandidate:S ZhaoFull Text:PDF
GTID:2428330593451706Subject:Electronics and Communications Engineering
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With the rapid development of mobile Internet and Internet of Things,the current mobile communication data traffic is facing exponential growth.The fifth generation mobile communication network has been put on the agenda,ultra-dense network deployment and Software Defined Network(SDN)are two key driven forces,while the mobility management issues usher in new challenges.This paper aims to solve the frequent handover,ping-pong effect and signaling overhead and the selection of candidate base stations in dense network.The problem of mobility management in LTE backhaul under SDN architecture and ultra-dense network is studied in detail.Aiming at the problem of mobility management in the backhaul network,this paper proposes a method of UE assisted mobility management based on SDN.The process of signaling interaction is designed for the handover of UE in dense cells.In addition,the dynamic local forwarding chain scheme is used to forward the data packets for the ongoing session and reduce the signaling overhead caused by UE's mobility in dense network.Based on this scheme,the packets can be forwarded from the source base station to the target base station without switching the entire transmission path(from the gateway to the target base station).Theoretical analysis and simulation results show that compared with the traditional path switching strategy,this mechanism can significantly reduce the signaling overhead but will increase some forwarding costs.The performance analysis of the data transmission shows that the introduction of additional forwarding costs is acceptable,even negligible in the case of short forwarding chains or large backhaul hops.For the mobility management problem in ultra-dense network,this paper proposes a multi-objective context-aware mobility management approach.An improved non-stochastic learning model is proposed to collect the dynamic Contextual Competition Scores of small base stations to determine the sequence of switching base stations.And the concept of handover overhead is introduced to strictly control the occurrence of handover,FHO problem in the ultra-dense network is solved.Finally,the performance of the base station selection scheme is evaluated by user satisfaction ratio parameter and the number of handover times.The simulation shows the validity of the proposed algorithm in the case of ideal network with delay or packet loss and non-ideal network with delay or packet loss.
Keywords/Search Tags:SDN, Ultra-dense network, Handover, Mobility management
PDF Full Text Request
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