如今,許多國家的移動普及率已超過100%。第四代移動網(wǎng)絡(luò)(4G)必須克服隨著移動通信和物聯(lián)網(wǎng)需求爆炸式增長而出現(xiàn)的新挑戰(zhàn)。許多運營商已經(jīng)在交通密度最高的人口稠密地區(qū)遇到容量問題。通過提供額外的頻譜或建立額外的容量站點來吸收流量,可以緩解運營商為滿足需求而引起的所謂4G“容量緊縮”的問題。因此,運營商移動網(wǎng)絡(luò)應(yīng)計劃在2020年之后將4G升級到5G移動網(wǎng)絡(luò),這也是推出5G的預(yù)期年份。隨著資本和運營成本壓力的不斷上漲,網(wǎng)絡(luò)運營商將需要充分了解小區(qū)部署的業(yè)務(wù)案例和5G技術(shù)的引入。他們需要清楚地了解網(wǎng)絡(luò)中的何時和何地5G部署將在經(jīng)濟上可行并為其業(yè)務(wù)增加價值。各種研究論文和報告一直在分析技術(shù),并描述其滿足移動寬帶需求增長的能力。然而,據(jù)我們所知,這是分析商業(yè)發(fā)布和部署5G移動網(wǎng)絡(luò)的業(yè)務(wù)案例的第一項工作。為了確定部署新技術(shù)的影響因素,本研究根據(jù)未來交通需求,部署成本,網(wǎng)絡(luò)容量,人口密度,服務(wù)要求和上海/中國城市地理覆蓋情況,分析了5G遷移情況。本論文項目的貢獻是考察了整體的技術(shù)經(jīng)濟分析和數(shù)學(xué)建模方法。另外,提出了一種符合移動寬帶增長的新定價模式。將資本支出和業(yè)務(wù)支出的兩個主要成本要素與部署期間預(yù)計收...

【文章頁數(shù)】：74 頁

【學(xué)位級別】：碩士

【文章目錄】：
Abstract
摘要
List of acronyms and abbreviations
1.INTRODUCTION
    1.1 Background
        a.Using WiFi and unlicensed spectrum
        b.Using a carrier aggregation technology
        c.Using mobile data offloading
        d.Using radio resource sharing between operators
        e.Using Network densification
    1.2 Related Works
    1.3 Overview of5G mobile network
    1.4 Contribution and research aims
    1.5 Structure of thesis
2.RESEARCH METHODOLOGY AND THEORETICAL MODELS
    2.1 General
    2.2 Predicting methods in mobile broadband market
        2.2.1 Qualitative Methods
            a.Judgmental method
            b.Delphi method
            c.Scenario method
        2.2.2 Quantitative Methods
            a.Time series methods
            b.Causal methods
    2.3 Proposed predicting cost-benefit model
        2.3.1 Predicted number of users
        2.3.2 Churn rate
        2.3.3 Pricing Model
            2.3.3.1 Looking on the transparency and simplicity rather than network settings
            2.3.3.2 Price Elasticity of Volume and Volume Elasticity of Revenue
            2.3.3.3 Extending the monthly package for5G MBB
3.TECHNO-ECONOMIC ANALYSIS
    3.1 Scenario1
    3.2 Scenario2
    3.3 Cost predicting and analysis
    3.4 Traffic demand and network investment
        3.4.1 Estimation of generated traffic demand
        3.4.2 Network investment modeling
    3.5 Discussions
4.CONCLUSION AND FUTURE WORK
ACKNOWLEDGEMENTS
Published Academic Papers as first author
REFERENCES



本文編號：3862283