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The recent widespread use of mobile Internet together with the advent of numerous smart applications has led to the explosive growth of the mobile data traffic in the last few years. This momentum of mobile traffic will continue due to the emerging needs of connecting people, machines, and applications through mobile infrastructure. As a result, the current and projected dramatic growth of mobile data traffic necessitates the development of fifth-generation (5G) mobile communications technology. As a result, there is significant interest in the development of innovative backhaul and fronthaul…mehr
The recent widespread use of mobile Internet together with the advent of numerous smart applications has led to the explosive growth of the mobile data traffic in the last few years. This momentum of mobile traffic will continue due to the emerging needs of connecting people, machines, and applications through mobile infrastructure. As a result, the current and projected dramatic growth of mobile data traffic necessitates the development of fifth-generation (5G) mobile communications technology. As a result, there is significant interest in the development of innovative backhaul and fronthaul solutions for ultra-dense heterogeneous networks. This book brings together mobile stakeholders from academia and industry to identify and promote technical challenges and recent results related to smart backhaul/fronthaul research for future communication system such as 5G. Moreover, it presents a comprehensive analysis on different types of backhaul/fronthaul technology and topology. It considers already available topology for backhauling/fronthauling and explains all fundamental requirements for deploying future smart and efficient backhauling/fronthauling infrastructure from an architectural, technical and business point of view and presents real life applications and use cases. Expanding on standardization activities, this book consists of multiple channels on specific research topics. The chapters are logically organized as the authors approach the subject from overview to specifics and from a lower to higher layer direction.
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Kazi Mohammed Saidul Huq, Senior Research Engineer, Instituto de Telecomunicações, Aveiro, Portugal. Kazi Mohammed Saidul Huq received the Ph.D. degree in electrical engineering from the University of Aveiro, Aveiro, Portugal, in 2014. His research activities include fifth-generation (5G), energy-efficient wireless communication, Backhaul/Fronthaul, radio resource management. He has been involved in several EC R&D Projects in the field of green communication and next generation wireless systems. He has been also involved in one Portuguese funded projects (BENEFIC) in the area of networking coding and development of system level simulator for 5G wireless system. Jonathan Rodriguez Gonzalez, Senior Research Engineer & Group Leader, Instituto de Telecomunicações, Aveiro, Portugal. Jonathan Rodriguez received the Ph.D. degree from the University of Surrey, Surrey, U.K., in 2004. He was the Project Coordinator and the Technical Manager of, respectively, the FP7 C2POWER and the FP7 COGEU projects and currently acts as a coordinator of several national and international projects. He is the author of more than 300 scientific publications and has carried out consultancy for major manufacturers participating in DVB-T/H and HS-UPA standardization. His research interests include green communications, network coding, cognitive radio, cooperative networking, radio resource management, and cross-layer design. Dr. Rodriguez is a Chartered Engineer (Institution of Engineering and Technology) and has served as a General Chair for several prestigious conferences and workshops.
Inhaltsangabe
List of Contributors ix
Preface xi
Acknowledgements xiii
1 Introduction: The Communication Haul Challenge 1 Kazi Mohammed Saidul Huq and Jonathan Rodriguez
1.1 Introduction 1
References 7
2 A C-RAN Approach for 5G Applications 9 Kazi Mohammed Saidul Huq, Shahid Mumtaz and Jonathan Rodriguez
2.1 Introduction 9
2.2 From Wired to Wireless Backhaul/Fronthaul Technologies 11
2.3 Architecture for Coordinated Systems According
to Baseline 3GPP 12
2.4 Reference Architecture for C-RAN 15
2.4.1 System Architecture for Fronthaul-based C-RAN 15
2.4.2 Cloud Resource Optimizer 16
2.5 Potential Applications for C-RAN-based Mobile Systems 20
2.5.1 Virtualization of D2D Services 20
2.5.2 Numerical Analysis 21
2.6 Conclusion 24
References 27
3 Backhauling 5G Small Cells with Massive-MIMO-Enabled mmWave Communication 29 Ummy Habiba, Hina Tabassum and Ekram Hossain
3.1 Introduction 29
3.2 Existing Wireless Backhauling Solutions for 5G Small Cells 31
3.3 Fundamentals of mmWave and Massive MIMO Technologies 32
3.3.1 MmWave Communication 32
3.3.2 MU-MIMO with Large Antenna Arrays 33
3.4 MmWave Backhauling: State of the Art and Research Issues 34
3.4.1 LOS mmWave Backhauling 35
3.4.2 NLOS mmWave Backhauling 36
3.4.3 Research Challenges for Backhauling in 5G Networks 37
3.5 Case Study: Massive-MIMO-based mmWave Backhauling System 40
3.5.1 System Model 41
3.5.2 Maximizing User Rate 44
3.5.3 Matching Theory for User Association 45
3.5.4 Numerical Results 48
3.6 Conclusion 51
Acknowledgement 51
References 51
4 Fronthaul for a Flexible Centralization in Cloud Radio Access Networks 55 Jens Bartelt, Dirk Wübben, Peter Rost, Johannes Lessmann and Gerhard Fettweis
4.1 Introduction 55
4.2 Radio Access Network Architecture 57
4.3 Functional Split Options 58
4.4 Requirements of Flexible Functional Splits 60
4.4.1 Split A 61
4.4.2 Split B 62
4.4.3 Split C 63
4.4.4 Split D 64
4.4.5 Summary and Examples 64
4.5 Statistical Multiplexing in a Flexibly Centralized Network 67
4.5.1 Distribution of FH Data Rate per Base Station 67
4.5.2 Outage Rate 68
4.5.3 Statistical Multiplexing on Aggregation Links 69
4.6 Convergence of Fronthaul and Backhaul Technologies 73
4.6.1 Physical Layer Technologies 73
4.6.2 Data/MAC Layer Technologies 75
4.6.3 Network Layer Technologies 77
4.6.4 Control and Management Plane 78
4.7 Enablers of a Flexible Functional Split 78
4.8 Summary 80
Acknowledgement 82
References 82
5 Analysis and Optimization for Heterogeneous Backhaul Technologies 85 Gongzheng Zhang, Tony Q. S. Quek, Marios Kountouris, Aiping Huang and Hangguan Shan
1 Introduction: The Communication Haul Challenge 1 Kazi Mohammed Saidul Huq and Jonathan Rodriguez
1.1 Introduction 1
References 7
2 A C-RAN Approach for 5G Applications 9 Kazi Mohammed Saidul Huq, Shahid Mumtaz and Jonathan Rodriguez
2.1 Introduction 9
2.2 From Wired to Wireless Backhaul/Fronthaul Technologies 11
2.3 Architecture for Coordinated Systems According
to Baseline 3GPP 12
2.4 Reference Architecture for C-RAN 15
2.4.1 System Architecture for Fronthaul-based C-RAN 15
2.4.2 Cloud Resource Optimizer 16
2.5 Potential Applications for C-RAN-based Mobile Systems 20
2.5.1 Virtualization of D2D Services 20
2.5.2 Numerical Analysis 21
2.6 Conclusion 24
References 27
3 Backhauling 5G Small Cells with Massive-MIMO-Enabled mmWave Communication 29 Ummy Habiba, Hina Tabassum and Ekram Hossain
3.1 Introduction 29
3.2 Existing Wireless Backhauling Solutions for 5G Small Cells 31
3.3 Fundamentals of mmWave and Massive MIMO Technologies 32
3.3.1 MmWave Communication 32
3.3.2 MU-MIMO with Large Antenna Arrays 33
3.4 MmWave Backhauling: State of the Art and Research Issues 34
3.4.1 LOS mmWave Backhauling 35
3.4.2 NLOS mmWave Backhauling 36
3.4.3 Research Challenges for Backhauling in 5G Networks 37
3.5 Case Study: Massive-MIMO-based mmWave Backhauling System 40
3.5.1 System Model 41
3.5.2 Maximizing User Rate 44
3.5.3 Matching Theory for User Association 45
3.5.4 Numerical Results 48
3.6 Conclusion 51
Acknowledgement 51
References 51
4 Fronthaul for a Flexible Centralization in Cloud Radio Access Networks 55 Jens Bartelt, Dirk Wübben, Peter Rost, Johannes Lessmann and Gerhard Fettweis
4.1 Introduction 55
4.2 Radio Access Network Architecture 57
4.3 Functional Split Options 58
4.4 Requirements of Flexible Functional Splits 60
4.4.1 Split A 61
4.4.2 Split B 62
4.4.3 Split C 63
4.4.4 Split D 64
4.4.5 Summary and Examples 64
4.5 Statistical Multiplexing in a Flexibly Centralized Network 67
4.5.1 Distribution of FH Data Rate per Base Station 67
4.5.2 Outage Rate 68
4.5.3 Statistical Multiplexing on Aggregation Links 69
4.6 Convergence of Fronthaul and Backhaul Technologies 73
4.6.1 Physical Layer Technologies 73
4.6.2 Data/MAC Layer Technologies 75
4.6.3 Network Layer Technologies 77
4.6.4 Control and Management Plane 78
4.7 Enablers of a Flexible Functional Split 78
4.8 Summary 80
Acknowledgement 82
References 82
5 Analysis and Optimization for Heterogeneous Backhaul Technologies 85 Gongzheng Zhang, Tony Q. S. Quek, Marios Kountouris, Aiping Huang and Hangguan Shan
5.1 Introduction 85
5.2 Backhaul Model 88
5.2.1 Network Model 88
5.2.2 Delay Model 89
5.2.3 Cost Model 92
5.3 Backhaul Packet Delay Analysis 93
5.3.1 Mean Backhaul Packet Delay 93
5.3.2 Delay-limited Success Probability 95
5.3.3 Performance Evaluation 97
5.4 Backhaul Deployment Cost Analysis 101
5.5 Backhaul-aware BS Association Policy 103
5.5.1 Mean Network Packet Delay 103
5.5.2 BS Association Policy 107
5.5.3 Numerical Results 109
5.6 Conclusions 11
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