面向5G密集網(wǎng)絡(luò)的切換管理仿真平臺(tái)及技術(shù)研究
發(fā)布時(shí)間:2019-01-26 16:01
【摘要】:為滿(mǎn)足不斷增長(zhǎng)的信息消費(fèi)需求,發(fā)展面向2020年后的第五代移動(dòng)通信技術(shù)(5G)已經(jīng)被提上日程。密集網(wǎng)絡(luò)作為5G重要的研究方向,在帶來(lái)支持高密度用戶(hù)設(shè)備和更大網(wǎng)絡(luò)容量等性能提升的同時(shí),也為切換管理帶來(lái)大量問(wèn)題。因此,需要研究密集網(wǎng)絡(luò)下的切換管理,尋找應(yīng)對(duì)方案以保證服務(wù)質(zhì)量(Quality of Service,QoS)和用戶(hù)的業(yè)務(wù)連續(xù)性。首先,通過(guò)不斷跟進(jìn)3GPP E-UTRAN標(biāo)準(zhǔn)化進(jìn)程,基于3GPP 36系列協(xié)議搭建了系統(tǒng)級(jí)動(dòng)態(tài)仿真平臺(tái),該平臺(tái)主要包括離散事件調(diào)度器、協(xié)議棧模塊、信道模型、仿真場(chǎng)景支撐和結(jié)果輸出等模塊。之后基于RRC層測(cè)量功能實(shí)現(xiàn)了切換管理模塊,主要包括切換算法、切換執(zhí)行、切換失敗鏈路失敗檢測(cè)和失敗重置四個(gè)部分。該模塊能夠模擬用戶(hù)在網(wǎng)絡(luò)中的切換動(dòng)作,以及切換時(shí)的無(wú)線資源轉(zhuǎn)移過(guò)程,并且能夠輸出多種切換性能指標(biāo),包括切換失敗率、鏈路失敗率、乒乓切換率等。然后,搭建了密集網(wǎng)絡(luò)場(chǎng)景,對(duì)網(wǎng)絡(luò)密集化后用戶(hù)可能出現(xiàn)的切換性能惡化的情況進(jìn)行了大規(guī)模地仿真驗(yàn)證,得出了網(wǎng)絡(luò)密集化給切換管理帶來(lái)的影響。最后,結(jié)合移動(dòng)狀態(tài)估計(jì)增強(qiáng)和切換參數(shù)增強(qiáng),提出了基于源、目標(biāo)小區(qū)類(lèi)型特定權(quán)值的移動(dòng)狀態(tài)估計(jì)增強(qiáng)方案。針對(duì)5G關(guān)鍵技術(shù),本文主要研究了目前較為熱門(mén)的雙連接技術(shù)。首先,分析了雙連接技術(shù)的應(yīng)用場(chǎng)景及雙連接技術(shù)為微蜂窩增強(qiáng)帶來(lái)的優(yōu)勢(shì),包括節(jié)點(diǎn)間無(wú)線資源聚合、RRC信令分集接收、分隔式上下行鏈路等。之后,提供了用戶(hù)平面和控制平面的可選協(xié)議架構(gòu),并在系統(tǒng)級(jí)仿真平臺(tái)中實(shí)現(xiàn)了雙連接控制面信令流程和雙連接用戶(hù)的切換動(dòng)作,主要實(shí)現(xiàn)的功能包括微蜂窩測(cè)量、用戶(hù)連接狀態(tài)機(jī)、微蜂窩添加、刪除和切換的信令流程。然后,基于對(duì)現(xiàn)有技術(shù)報(bào)告的理解,實(shí)現(xiàn)了雙連接用戶(hù)的宏蜂窩切換失敗、微蜂窩變更失敗和鏈路失敗模型。最后,通過(guò)搭建典型的雙連接網(wǎng)絡(luò)場(chǎng)景,對(duì)雙連接技術(shù)帶來(lái)的移動(dòng)魯棒性增強(qiáng)(Mobility Robustness Optimization,MRO)和核心網(wǎng)信令負(fù)荷降低的特性進(jìn)行仿真驗(yàn)證。
[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.
【學(xué)位授予單位】:重慶郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類(lèi)號(hào)】:TN929.5
本文編號(hào):2415647
[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.
【學(xué)位授予單位】:重慶郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類(lèi)號(hào)】:TN929.5
【參考文獻(xiàn)】
相關(guān)期刊論文 前2條
1 HAO Peng;YAN Xiao;Yu-Ngok Ruyue;YUAN Yifei;;Ultra Dense Network: Challenges, Enabling Technologies and New Trends[J];中國(guó)通信;2016年02期
2 焦慧穎;;異構(gòu)網(wǎng)絡(luò)中的雙連接帶來(lái)的機(jī)遇和挑戰(zhàn)[J];現(xiàn)代電信科技;2013年08期
,本文編號(hào):2415647
本文鏈接:http://sikaile.net/kejilunwen/xinxigongchenglunwen/2415647.html
最近更新
教材專(zhuān)著