Design and optimization for 5G wireless communications / (Record no. 40906)

MARC details
000 -LEADER
fixed length control field 06781nam a2200541 i 4500
001 - CONTROL NUMBER
control field 9080489
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230927112402.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200505s2020 njua ob 001 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number 2020000671 (print)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119494447
Qualifying information electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119494553
Qualifying information hardback
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1119494559
Qualifying information hardback
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119494447
Qualifying information adobe pdf
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119494522
Qualifying information ePub
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119494492
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)mat09080489
035 ## - SYSTEM CONTROL NUMBER
System control number (IDAMS)0b0000648c9ec9d9
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3845/6
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kim, Haesik,
Relator term author.
245 10 - TITLE STATEMENT
Title Design and optimization for 5G wireless communications /
Statement of responsibility, etc. Haesik Kim.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey, USA :
Name of producer, publisher, distributor, manufacturer Wiley-IEEE Press,
Date of production, publication, distribution, manufacture, or copyright notice 2020.
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture [Piscataqay, New Jersey] :
Name of producer, publisher, distributor, manufacturer IEEE Xplore,
Date of production, publication, distribution, manufacture, or copyright notice [2020]
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xix, 400 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
336 ## - CONTENT TYPE
Content type term still image
Content type code sti
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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 -- References 11 -- 2 5G Wireless Communication System Parameters and Requirements 13 -- 2.1 5G Requirements 13 -- 2.2 Trade-off of 5G System Metrics 16 -- Problems 19 -- References 20 -- 3 Mathematical Methods for Wireless Communications 21 -- 3.1 Signal Spaces 21 -- 3.2 Approximation and Estimation in Signal Spaces 32 -- 3.2.1 Approximation Problems 32 -- 3.2.2 Least Squares Estimation 35 -- 3.2.3 Minimum Mean-Squared Error Estimation 45 -- 3.2.4 Maximum Likelihood and Maximum A Posteriori Estimation 65 -- 3.3 Matrix Factorization 71 -- 3.3.1 LU Decomposition 71 -- 3.3.2 Cholesky Decomposition 76 -- 3.3.3 QR Decomposition 77 -- 3.3.4 SVD Decomposition 85 -- Problems 92 -- References 95 -- 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 -- 4.4.1 Barrier Method 124 -- 4.4.2 Primal-Dual Interior Point Method 130 -- 4.5 Gradient Descent Method 138 -- Problems 146 -- References 149 -- 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 -- Problems 191 -- References 193 -- 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 -- 6.1.1 5G Frequency Bands 198 -- 6.1.2 Low Latency 199 -- 6.1.3 More Efficient Radio Resource Utilization 201 -- 6.1.4 Small Cells and Ultra-Dense Networks 202 -- 6.1.5 Higher Flexibility 202 -- 6.1.6 Virtualization 203.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6.1.7 Distributed Network Architecture 204 -- 6.1.8 Device-Centric Communications 205 -- 6.1.9 New Air Interfaces 206 -- 6.1.10 Big Data Management 206 -- 6.2 5G New Radio 207 -- 6.2.1 5G Radio Access Network Architecture 207 -- 6.2.2 5G NR Deployment Scenarios 208 -- 6.2.3 Frame Structure 209 -- 6.2.4 5G Logical, Transport, and Physical Channels 213 -- 6.2.5 5G Protocol Layers 217 -- 6.2.6 5G NR Physical Layer Processing 220 -- 6.2.7 5G Initial Access Procedure and Beam Management 222 -- 6.3 5G Key Enabling Techniques 226 -- 6.3.1 5GWaveforms 226 -- 6.3.2 5G Multiple Access Schemes 227 -- 6.3.3 Channel Coding Schemes 228 -- 6.3.4 MIMO 230 -- 6.3.5 mmWAVE 231 -- 6.3.6 Network Slicing 232 -- 6.3.7 Multi-access Edge Computing 232 -- Problems 235 -- References 237 -- 7 Enhanced Mobile Broadband Communication Systems 239 -- 7.1 Introduction 239 -- 7.2 Design Approaches of eMBB Systems 240 -- 7.3 MIMO 242 -- 7.3.1 Capacity of MIMO Channel 243 -- 7.3.2 Space���oTime Coding Design 251 -- 7.3.3 Spatial Multiplexing Design 262 -- 7.3.4 Massive MIMO 268 -- 7.4 5G Multiple Access Techniques 271 -- 7.4.1 OFDM System Design 271 -- 7.4.2 FBMC, GFDM, and UFMC 280 -- 7.5 5G Channel Coding and Modulation 284 -- 7.5.1 LDPC Codes 285 -- 7.5.2 Coding and Modulation for High Spectral Efficiency 291 -- Problems 299 -- References 300 -- 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 -- Problems 339 -- References 340 -- 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 -- 9.4.1 Linear Programming for Power Control in Distributed Networks 363 -- 9.4.2 Power Control Problem Formulations 366 -- 9.4.3 Beamforming for Transmit Power Minimization 370 -- 9.5 Wireless Sensor Networks 376 -- Problems 392.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note References 393 -- Index 397.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Restricted to subscribers or individual electronic text purchasers.
520 ## - SUMMARY, ETC.
Summary, etc. "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"--
Assigning source Provided by publisher.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on PDF viewed 05/05/2020.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element 5G mobile communication systems
General subdivision Design and construction
-- Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical optimization.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element IEEE Xplore (Online Service),
Relator term distributor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Wiley,
Relator term publisher.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier <a href="https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=9080489">https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=9080489</a>

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