Stochastic Geometry Analysis of Multi-Antenna Wireless Networks (eBook)

Xianghao Yu received his B.Eng. degree in Information Engineering from Southeast University, Nanjing, China, in 2014, and his Ph.D. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (HKUST), Kowloon, Hong Kong, in 2018. His research interests include millimeter wave communications, MIMO systems, mathematical optimization, and stochastic geometry. He was the recipient of the IEEE GLOBECOM 2017 Best Paper Award.Chang Li received his B.Eng. degree in Information and Communication Engineering from Xi’an Jiaotong University, Xi’an, China, in 2010, and his Ph.D. degree in Electrical and Computer Engineering from the Hong Kong University of Science and Technology (HKUST), Kowloon, Hong Kong, in 2016. From February 2015 to January 2016, he was a Visiting Student at the Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. He is currently a guest researcher with the Advanced Network Technologies Division (ANTD), National Institute of Standards and Technology (NIST). His research interests include network localization and navigation, heterogeneous networks, MIMO systems, green communications, and the application of stochastic geometry.Jun Zhang received his Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. He is currently an Assistant Professor at the Department of Electronic and Information Engineering at the Hong Kong Polytechnic University. Dr. Zhang co-authored the book Fundamentals of LTE (Prentice-Hall, 2010). He is a co-recipient of the 2016 Marconi Prize Paper Award in Wireless Communications, the 2014 Best Paper Award for the EURASIP Journal on Advances in Signal Processing, an IEEE GLOBECOM Best Paper Award in 2017, an IEEE ICC Best Paper Award in 2016, and an IEEE PIMRC Best Paper Award in 2014. One paper he co-authored received the 2016 IEEE Signal Processing Society Young Author Best Paper Award. He also received the 2016 IEEE Communications Society Asia-Pacific Best Young Researcher Award. His research interests include wireless communications and networking, mobile edge computing and edge learning, distributed optimization and learning, and big data analytics systems. Khaled B. Letaief received his B.S. degree with distinction, M.S. and Ph.D. degrees in Electrical Engineering from Purdue University, USA. He is an internationally recognized leader in wireless communications and networks and has served as a consultant for various organizations. From 1990 to 1993, he was a faculty member at the University of Melbourne, Australia. Since 1993, he has been with HKUST, Hong Kong. While at HKUST, he has held various administrative positions, including the Dean of Engineering and Director of the Hong Kong Telecom Institute of Information Technology.He is the founding Editor-in-Chief of the prestigious IEEE Transactions on Wireless Communications. He is also the recipient of numerous distinguished awards and honors including the 2016 IEEE Marconi Prize Award in Wireless Communications, 2011 IEEE Communications Society Harold Sobol Award, 2010 Purdue University Outstanding Electrical and Computer Engineer Award, 2007 IEEE Communications Society Joseph LoCicero Publications Exemplary Award, and over 15 IEEE Best Paper Awards.Dr. Letaief is a Fellow of IEEE and a Fellow of HKIE. He is recognized by Thomson Reuters as an ISI Highly Cited Researcher. He is also known for his dedicated service to professional societies and in particular IEEE, where he has served in various leadership positions, including President of the IEEE Communications Society.

Preface 6
Acknowledgements 7
Contents 8
Acronyms 11
1 Introduction 13
1.1 The Cellular Network Evolution 13
1.2 Paving the Way for 5G Networks 15
1.2.1 Ultra-Dense Networks to Increase Spatial Spectrum Reuse 15
1.2.2 Multi-Antenna Transmissions for Higher Spectral Efficiency 17
1.2.3 Beyond Sub-6 GHz for More Spectrum 18
1.2.4 Two Dominant Themes 19
1.3 Modeling and Analysis of Wireless Networks 20
1.4 Outline of the Monograph 22
References 24
2 Fundamentals of Wireless Network Analysis 27
2.1 Spatial Models of Wireless Networks 27
2.1.1 Stochastic Geometry 27
2.1.2 Point Processes 28
2.1.3 Poisson Network Models 30
2.1.4 Examples of Poisson Network Models 33
2.2 Network Performance Metrics 36
2.3 Interference Distribution in Poisson Wireless Networks 38
2.3.1 Sums and Products over Point Processes 38
2.3.2 Laplace Transform of Interference Distribution 41
2.3.3 Example: Rayleigh Fading 41
2.4 Performance Analysis of Single-Antenna Networks 42
2.4.1 Cellular Networks 43
2.4.2 Ad Hoc Networks 45
References 47
3 An Analytical Framework for Multi-Antenna Wireless Networks 49
3.1 Modeling Multi-Antenna Wireless Networks 49
3.1.1 Network Model and Notations 49
3.1.2 Signal-to-Interference-Plus-Noise Ratio (SINR) 53
3.2 Multi-Antenna Techniques 56
3.2.1 Single-User MIMO 56
3.2.2 Multiuser MIMO 59
3.2.3 Distributions of MIMO Signal Power Gains 61
3.3 A General Analytical Framework 62
3.3.1 Challenges in Multi-Antenna Network Analysis 62
3.3.2 Analytical Framework 67
3.3.3 More General Distributions for the Signal Power Gain 74
3.3.4 Single-Antenna Versus Multi-Antenna Networks 76
3.4 Coverage Analysis of General Multi-Antenna Networks 76
3.4.1 Cellular Networks 77
3.4.2 Ad Hoc Networks 80
3.5 Properties of General Multi-Antenna Networks 82
3.5.1 Densification: Impact of BS Density 82
3.5.2 MIMO: Impact of Antenna Size 84
3.6 Summary 89
References 95
4 Analysis of Multi-Antenna Wireless Networks 97
4.1 Coverage Analysis of MISO Small Cell Networks 97
4.1.1 Network Model and Coverage Analysis 98
4.1.2 Densification: Impact of BS Density 102
4.1.3 MIMO: Impact of Antenna Size 104
4.2 Ultra Dense Networks: ASE Versus Densification 105
4.3 Green Networking: Energy Efficiency Analysis 108
4.3.1 Densification: Impact of BS Density 108
4.3.2 MIMO: Impact of Antenna Size 109
4.4 New Spectrum: Millimeter-Wave Networks 111
4.4.1 Characteristics of Mm-Wave Networks 112
4.4.2 Coverage Analysis of Mm-Wave Networks 120
4.4.3 Impact of Directional Antenna Arrays 126
4.5 Summary 130
References 136
5 Optimization of Multi-Antenna Wireless Networks 138
5.1 Interference Management 138
5.1.1 Interference Nulling Techniques 139
5.1.2 Network Model and Notations 141
5.1.3 Coverage Analysis: The Perfect CSI Case 145
5.1.4 Coverage Analysis: The Limited Feedback Case 149
5.1.5 Optimization: To Determine the Interference Nulling Range 152
5.1.6 Summary 157
5.2 ASE and Link Reliability Trade-Off in HetNets 158
5.2.1 A General Multi-Antenna HetNet Model 158
5.2.2 Coverage Analysis 161
5.2.3 ASE and Link Reliability Trade-Off 166
5.2.4 Summary 173
References 177
6 Summary and Discussion 179
6.1 Summary 179
6.2 Discussion 180
6.2.1 More General Network Models 182
6.2.2 Newly Emerged Application Scenarios 184
References 186