This book offers a technical background to the design and optimization of wireless communication systems, covering optimization algorithms for wireless and 5G communication systems design. The book introduces the design and optimization systems which target capacity, latency, and connection density; including Enhanced Mobile Broadband Communication (eMBB), Ultra-Reliable and Low Latency Communication (URLL), and Massive Machine Type Communication (mMTC).
The book is organized into two distinct parts: Part I, mathematical methods and optimization algorithms for wireless communications are introduced, providing the reader with the required mathematical background. In Part II, 5G communication systems are designed and optimized using the mathematical methods and optimization algorithms.
Table of Contents:
Preface xi
List of Abbreviations xiii
Part I Mathematical Methods and Optimization Theories for Wireless Communications 1
1 Historical Sketch of Cellular Communications and Networks 3
1.1 Evolution of Cellular Communications and Networks 3
1.2 Evolution to 5G Networks 9
2 5G Wireless Communication System Parameters and Requirements 13
2.1 5G Requirements 13
2.2 Trade-off of 5G System Metrics 16
3 Mathematical Methods for Wireless Communications 21
3.1 Signal Spaces 21
3.2 Approximation and Estimation in Signal Spaces 32
3.3 Matrix Factorization 71
4 Mathematical Optimization Techniques for Wireless Communications 97
4.1 Introduction 97
4.2 Mathematical Modeling and Optimization Process 99
4.3 Linear Programming 108
4.4 Convex Optimization 120
4.5 Gradient Descent Method 138
5 Machine Learning 151
5.1 Artificial Intelligence, Machine Learning, and Deep Learning 152
5.2 Supervised and Unsupervised Learning 153
5.3 Reinforcement Learning 177
Part II Design and Optimization for 5G Wireless Communications and Networks 195
6 Design Principles for 5G Communications and Networks 197
6.1 New Design Approaches and Key Challenges of 5G Communications and Networks 198
6.2 5G New Radio 207
6.3 5G Key Enabling Techniques 226
7 Enhanced Mobile Broadband Communication Systems 239
7.1 Introduction 239
7.2 Design Approaches of eMBB Systems 240
7.3 MIMO 242
7.4 5G Multiple Access Techniques 271
7.5 5G Channel Coding and Modulation 284
8 Ultra-Reliable and Low Latency Communication Systems 303
8.1 Design Approaches of URLLC Systems 304
8.2 Short Packet Transmission 306
8.3 Latency Analysis 317
8.4 Multi-Access Edge Computing 328
9 Massive Machine Type Communication Systems 343
9.1 Introduction 343
9.2 Design Approaches of mMTC Systems 344
9.3 Robust Optimization 351
9.4 Power Control and Management 362
9.5 Wireless Sensor Networks 376
Problems 392
References 393
Index 397
About the Author :
DR. HAESIK KIM (IEEE Senior Member, Series Editor and Associate Technical Editor of IEEE Communications Magazine) is Senior Scientist of 5G and beyond network team in VTT Technical Research Centre of Finland. He is the recipient of the International Conference on Wireless Communications and Signal Processing (WCSP) Best Paper Award in 2010. His current research interests include PHY and MAC layer system design, advanced coding theory, advanced MIMO, multi-carrier system, interference mitigation techniques, resource allocation schemes, machine-type communications, ultra-reliable low latency communications, and machine learning.
