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面向5G密集网络的切换管理仿真平台及技术研究

发布时间:2019-01-26 16:01
【摘要】:为满足不断增长的信息消费需求,发展面向2020年后的第五代移动通信技术(5G)已经被提上日程。密集网络作为5G重要的研究方向,在带来支持高密度用户设备和更大网络容量等性能提升的同时,也为切换管理带来大量问题。因此,需要研究密集网络下的切换管理,寻找应对方案以保证服务质量(Quality of Service,QoS)和用户的业务连续性。首先,通过不断跟进3GPP E-UTRAN标准化进程,基于3GPP 36系列协议搭建了系统级动态仿真平台,该平台主要包括离散事件调度器、协议栈模块、信道模型、仿真场景支撑和结果输出等模块。之后基于RRC层测量功能实现了切换管理模块,主要包括切换算法、切换执行、切换失败链路失败检测和失败重置四个部分。该模块能够模拟用户在网络中的切换动作,以及切换时的无线资源转移过程,并且能够输出多种切换性能指标,包括切换失败率、链路失败率、乒乓切换率等。然后,搭建了密集网络场景,对网络密集化后用户可能出现的切换性能恶化的情况进行了大规模地仿真验证,得出了网络密集化给切换管理带来的影响。最后,结合移动状态估计增强和切换参数增强,提出了基于源、目标小区类型特定权值的移动状态估计增强方案。针对5G关键技术,本文主要研究了目前较为热门的双连接技术。首先,分析了双连接技术的应用场景及双连接技术为微蜂窝增强带来的优势,包括节点间无线资源聚合、RRC信令分集接收、分隔式上下行链路等。之后,提供了用户平面和控制平面的可选协议架构,并在系统级仿真平台中实现了双连接控制面信令流程和双连接用户的切换动作,主要实现的功能包括微蜂窝测量、用户连接状态机、微蜂窝添加、删除和切换的信令流程。然后,基于对现有技术报告的理解,实现了双连接用户的宏蜂窝切换失败、微蜂窝变更失败和链路失败模型。最后,通过搭建典型的双连接网络场景,对双连接技术带来的移动鲁棒性增强(Mobility Robustness Optimization,MRO)和核心网信令负荷降低的特性进行仿真验证。
[Abstract]:In order to meet the increasing demand for information consumption, the development of the fifth generation mobile communication technology (5G) facing 2020 has been put on the agenda. As an important research direction of 5G, dense network not only improves the performance of supporting high-density user equipment and larger network capacity, but also brings a lot of problems for handoff management. Therefore, it is necessary to study the handoff management in dense networks and find solutions to ensure the quality of service (Quality of Service,QoS) and the business continuity of users. First of all, by following up the process of 3GPP E-UTRAN standardization, a system-level dynamic simulation platform is built based on 3GPP 36 protocols. The platform mainly includes discrete event scheduler, protocol stack module and channel model. Simulation scene support and result output module. Then the handover management module is implemented based on the RRC layer measurement function, which includes four parts: handover algorithm, handoff execution, fail-link failure detection and fail-reset. This module can simulate the handoff action of users in the network and the wireless resource transfer process, and can output a variety of handover performance indicators, including handoff failure rate, link failure rate, ping-pong handover rate and so on. Then, a dense network scenario is set up, and a large-scale simulation is carried out to verify the possible deterioration of handoff performance of the users after the network intensive, and the influence of the network denseness on the handover management is obtained. Finally, combined with the enhancement of mobile state estimation and the enhancement of handover parameters, an enhancement scheme of mobile state estimation based on the specific weights of source and target cell type is proposed. In view of the 5 G key technology, this paper mainly studies the hot double connection technology. Firstly, the application scenarios of dual-connection technology and the advantages of dual-connection technology for microcellular enhancement are analyzed, including wireless resource aggregation between nodes, RRC signaling diversity reception, separated uplink and downlink, etc. After that, the optional protocol architecture of user plane and control plane is provided, and the signalling flow of dual connection control plane and the switching action of dual connection user are realized in the system level simulation platform. The main functions include microcellular measurement. User connection state machine, microcellular add, delete and switch signaling process. Then, based on the understanding of the prior art report, the model of macrocellular handoff failure, microcellular change failure and link failure model of double-connected users are implemented. Finally, by setting up a typical dual-connection network scenario, the characteristics of mobile robustness enhanced (Mobility Robustness Optimization,MRO) and core network signaling load reduction brought by dual-connection technology are verified by simulation.
【学位授予单位】:重庆邮电大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TN929.5

【参考文献】

相关期刊论文 前2条

1 HAO Peng;YAN Xiao;Yu-Ngok Ruyue;YUAN Yifei;;Ultra Dense Network: Challenges, Enabling Technologies and New Trends[J];中国通信;2016年02期

2 焦慧颖;;异构网络中的双连接带来的机遇和挑战[J];现代电信科技;2013年08期



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