高速场景下的大规模MIMO资源管理研究
发布时间：2024-03-03 23:11
近年来,全世界都在抓紧建设运行速度超过500公里/小时的高速列车。尤其是子弹头列车和高速列车在中国已被广泛使用。此外,由于列车的高速移动性,以及人们对高速数据服务的需求日益增加,使得获取准确的信道信息和开发高速铁路(HSR)通信的高效广播系统(如可靠性,安全列车运行和乘客通信)成为关键。满足乘客在高速列车场景下对无线通信的需求是一个具有挑战性的问题。例如,2017年中国推出世界上最快、最长的高速列车,连接北京和上海两地,总长达1318公里。此列车最高时速可达500公里/小时,该路线的容量估计约为每天22万乘客,所有这些乘客都需要稳定和高质量的互联网连接。高速铁路的发展给乘客带来了极大的便利,然而乘客对可靠的无线和数据连接的需求也在增加。在过去几年中,由于智能手机、平板电脑、笔记本电脑和许多其他无线数据消费设备的急剧发展,数据流量呈指数级增长。随着全球移动数据流量的增长,未来对无线数据流量的需求将会更大,预计到2018年每月增长到15.9艾比特,与2014年相比增长约6倍。此外,估计到2018年时,增加的连接设备数量将达到102亿。在基站和接入点之间传输的数据是来自火车上众多不同旅客的复...
【文章页数】：49 页
【学位级别】：硕士
【文章目录】：
致谢 Acknowledgement
摘要
ABSTRACT
Abbreviations
序言 Preface
1 INTRODUCTION
1.1. Background
1.2. Problem Definition
1.3. Research Goals
1.4. Significance of Study
1.5. Structure of Thesis
2 MASSIVE MIMO
2.1. SISO(Single Input Single Output)
2.2. SIMO (Single Input Multiple Output)
2.3. MISO (Multiple Input Single Output)
2.4. MIMO (Multiple Input Multiple Output)
2.5. MODEL of MIMO Channels
2.6. Massive MIMO
2.6.1. Massive MIMO Advantage
2.6.2. Massive MIMO for High Mobility
2.6.3. Challenges in Massive MIMO
2.7. Pilot Contamination
2.8. Unfavorable Propagation
2.9. New Standards and Designs are Required
3 SYSTEM MODEL
3.1. System Model and Problem Formulation
3.1.1. System Model
3.1.2. Data Rate for Each User
3.1.3. Power Consumption Model
3.1.4. Optimization Problem Formulation
3.2. Suboptimal Solution of Optimization Problem
3.2.1. Subcarrier Allocation
3.2.2. Transmit Power and Antenna Allocation
4 SIMULATION RESULTS
4.1. Analysis of Convergences
4.1.1. Convergence of Improved CA Method
4.1.2. Convergence of main Algorithm
4.2. Performance Simulation
5 CONCLUSIONS
5.1. Conclusion
5.2. Future Research Direction
参考文献 Refrences
索引 作者简历及攻读硕士学位期间取得的研究成果 Author Profile and Research Achievements Obtained during the Study for A Master's
学位论文数据集 Dataset for the Master's Thesis
本文编号：3918499
【文章页数】：49 页
【学位级别】：硕士
【文章目录】：
致谢 Acknowledgement
摘要
ABSTRACT
Abbreviations
序言 Preface
1 INTRODUCTION
1.1. Background
1.2. Problem Definition
1.3. Research Goals
1.4. Significance of Study
1.5. Structure of Thesis
2 MASSIVE MIMO
2.1. SISO(Single Input Single Output)
2.2. SIMO (Single Input Multiple Output)
2.3. MISO (Multiple Input Single Output)
2.4. MIMO (Multiple Input Multiple Output)
2.5. MODEL of MIMO Channels
2.6. Massive MIMO
2.6.1. Massive MIMO Advantage
2.6.2. Massive MIMO for High Mobility
2.6.3. Challenges in Massive MIMO
2.7. Pilot Contamination
2.8. Unfavorable Propagation
2.9. New Standards and Designs are Required
3 SYSTEM MODEL
3.1. System Model and Problem Formulation
3.1.1. System Model
3.1.2. Data Rate for Each User
3.1.3. Power Consumption Model
3.1.4. Optimization Problem Formulation
3.2. Suboptimal Solution of Optimization Problem
3.2.1. Subcarrier Allocation
3.2.2. Transmit Power and Antenna Allocation
4 SIMULATION RESULTS
4.1. Analysis of Convergences
4.1.1. Convergence of Improved CA Method
4.1.2. Convergence of main Algorithm
4.2. Performance Simulation
5 CONCLUSIONS
5.1. Conclusion
5.2. Future Research Direction
参考文献 Refrences
索引 作者简历及攻读硕士学位期间取得的研究成果 Author Profile and Research Achievements Obtained during the Study for A Master's
学位论文数据集 Dataset for the Master's Thesis
本文编号：3918499
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