Design and Optimization for 5G Wireless Communications

AvHaesik Kim

Inbunden, Engelska, 2020

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-04-16
Mått:175 x 246 x 28 mm
Vikt:885 g
Format:Inbunden
Språk:Engelska
Serie:IEEE Press
Antal sidor:424
Förlag:John Wiley & Sons Inc
ISBN:9781119494553

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

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.

Innehållsförteckning

Preface xiList of Abbreviations xiiiPart I Mathematical Methods and Optimization Theories for Wireless Communications 11 Historical Sketch of Cellular Communications and Networks 31.1 Evolution of Cellular Communications and Networks 31.2 Evolution to 5G Networks 92 5G Wireless Communication System Parameters and Requirements 132.1 5G Requirements 132.2 Trade-off of 5G System Metrics 163 Mathematical Methods for Wireless Communications 213.1 Signal Spaces 213.2 Approximation and Estimation in Signal Spaces 323.3 Matrix Factorization 714 Mathematical Optimization Techniques for Wireless Communications 974.1 Introduction 974.2 Mathematical Modeling and Optimization Process 994.3 Linear Programming 1084.4 Convex Optimization 1204.5 Gradient Descent Method 1385 Machine Learning 1515.1 Artificial Intelligence, Machine Learning, and Deep Learning 1525.2 Supervised and Unsupervised Learning 1535.3 Reinforcement Learning 177Part II Design and Optimization for 5G Wireless Communications and Networks 1956 Design Principles for 5G Communications and Networks 1976.1 New Design Approaches and Key Challenges of 5G Communications and Networks 1986.2 5G New Radio 2076.3 5G Key Enabling Techniques 2267 Enhanced Mobile Broadband Communication Systems 2397.1 Introduction 2397.2 Design Approaches of eMBB Systems 2407.3 MIMO 2427.4 5G Multiple Access Techniques 2717.5 5G Channel Coding and Modulation 2848 Ultra-Reliable and Low Latency Communication Systems 3038.1 Design Approaches of URLLC Systems 3048.2 Short Packet Transmission 3068.3 Latency Analysis 3178.4 Multi-Access Edge Computing 3289 Massive Machine Type Communication Systems 3439.1 Introduction 3439.2 Design Approaches of mMTC Systems 3449.3 Robust Optimization 3519.4 Power Control and Management 3629.5 Wireless Sensor Networks 376Problems 392References 393Index 397