5G移动网络部署技术经济分析与预测
发布时间：2023-11-11 08:31
如今,许多国家的移动普及率已超过100%。第四代移动网络(4G)必须克服随着移动通信和物联网需求爆炸式增长而出现的新挑战。许多运营商已经在交通密度最高的人口稠密地区遇到容量问题。通过提供额外的频谱或建立额外的容量站点来吸收流量,可以缓解运营商为满足需求而引起的所谓4G“容量紧缩”的问题。因此,运营商移动网络应计划在2020年之后将4G升级到5G移动网络,这也是推出5G的预期年份。随着资本和运营成本压力的不断上涨,网络运营商将需要充分了解小区部署的业务案例和5G技术的引入。他们需要清楚地了解网络中的何时和何地5G部署将在经济上可行并为其业务增加价值。各种研究论文和报告一直在分析技术,并描述其满足移动宽带需求增长的能力。然而,据我们所知,这是分析商业发布和部署5G移动网络的业务案例的第一项工作。为了确定部署新技术的影响因素,本研究根据未来交通需求,部署成本,网络容量,人口密度,服务要求和上海/中国城市地理覆盖情况,分析了5G迁移情况。本论文项目的贡献是考察了整体的技术经济分析和数学建模方法。另外,提出了一种符合移动宽带增长的新定价模式。将资本支出和业务支出的两个主要成本要素与部署期间预计收...
【文章页数】：74 页
【学位级别】：硕士
【文章目录】：
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
本文编号：3862283
【文章页数】：74 页
【学位级别】：硕士
【文章目录】：
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
本文编号：3862283
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