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Design and Optimization for 5G Wireless Communications


Design and Optimization for 5G Wireless Communications


IEEE Press 1. Aufl.

von: Haesik Kim

119,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 19.03.2020
ISBN/EAN: 9781119494447
Sprache: englisch
Anzahl Seiten: 424

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Beschreibungen

<p>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).</p> <p>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.</p>
<p>Preface xi</p> <p>List of Abbreviations xiii</p> <p><b>Part I Mathematical Methods and Optimization Theories for Wireless Communications </b><b>1</b></p> <p><b>1 Historical Sketch of Cellular Communications and Networks </b><b>3</b></p> <p>1.1 Evolution of Cellular Communications and Networks 3</p> <p>1.2 Evolution to 5G Networks 9</p> <p>References 11</p> <p><b>2 5G Wireless Communication System Parameters and Requirements </b><b>13</b></p> <p>2.1 5G Requirements 13</p> <p>2.2 Trade-off of 5G System Metrics 16</p> <p>Problems 19</p> <p>References 20</p> <p><b>3 Mathematical Methods for Wireless Communications </b><b>21</b></p> <p>3.1 Signal Spaces 21</p> <p>3.2 Approximation and Estimation in Signal Spaces 32</p> <p>3.2.1 Approximation Problems 32</p> <p>3.2.2 Least Squares Estimation 35</p> <p>3.2.3 Minimum Mean-Squared Error Estimation 45</p> <p>3.2.4 Maximum Likelihood and Maximum A Posteriori Estimation 65</p> <p>3.3 Matrix Factorization 71</p> <p>3.3.1 LU Decomposition 71</p> <p>3.3.2 Cholesky Decomposition 76</p> <p>3.3.3 QR Decomposition 77</p> <p>3.3.4 SVD Decomposition 85</p> <p>Problems 92</p> <p>References 95</p> <p><b>4 Mathematical Optimization Techniques for Wireless Communications </b><b>97</b></p> <p>4.1 Introduction 97</p> <p>4.2 Mathematical Modeling and Optimization Process 99</p> <p>4.3 Linear Programming 108</p> <p>4.4 Convex Optimization 120</p> <p>4.4.1 Barrier Method 124</p> <p>4.4.2 Primal-Dual Interior Point Method 130</p> <p>4.5 Gradient Descent Method 138</p> <p>Problems 146</p> <p>References 149</p> <p><b>5 Machine Learning </b><b>151</b></p> <p>5.1 Artificial Intelligence, Machine Learning, and Deep Learning 152</p> <p>5.2 Supervised and Unsupervised Learning 153</p> <p>5.3 Reinforcement Learning 177</p> <p>Problems 191</p> <p>References 193</p> <p><b>Part II Design and Optimization for 5G Wireless Communications and Networks </b><b>195</b></p> <p><b>6 Design Principles for 5G Communications and Networks </b><b>197</b></p> <p>6.1 New Design Approaches and Key Challenges of 5G Communications and Networks 198</p> <p>6.1.1 5G Frequency Bands 198</p> <p>6.1.2 Low Latency 199</p> <p>6.1.3 More Efficient Radio Resource Utilization 201</p> <p>6.1.4 Small Cells and Ultra-Dense Networks 202</p> <p>6.1.5 Higher Flexibility 202</p> <p>6.1.6 Virtualization 203</p> <p>6.1.7 Distributed Network Architecture 204</p> <p>6.1.8 Device-Centric Communications 205</p> <p>6.1.9 New Air Interfaces 206</p> <p>6.1.10 Big Data Management 206</p> <p>6.2 5G New Radio 207</p> <p>6.2.1 5G Radio Access Network Architecture 207</p> <p>6.2.2 5G NR Deployment Scenarios 208</p> <p>6.2.3 Frame Structure 209</p> <p>6.2.4 5G Logical, Transport, and Physical Channels 213</p> <p>6.2.5 5G Protocol Layers 217</p> <p>6.2.6 5G NR Physical Layer Processing 220</p> <p>6.2.7 5G Initial Access Procedure and Beam Management 222</p> <p>6.3 5G Key Enabling Techniques 226</p> <p>6.3.1 5GWaveforms 226</p> <p>6.3.2 5G Multiple Access Schemes 227</p> <p>6.3.3 Channel Coding Schemes 228</p> <p>6.3.4 MIMO 230</p> <p>6.3.5 mmWAVE 231</p> <p>6.3.6 Network Slicing 232</p> <p>6.3.7 Multi-access Edge Computing 232</p> <p>Problems 235</p> <p>References 237</p> <p><b>7 Enhanced Mobile Broadband Communication Systems </b><b>239</b></p> <p>7.1 Introduction 239</p> <p>7.2 Design Approaches of eMBB Systems 240</p> <p>7.3 MIMO 242</p> <p>7.3.1 Capacity of MIMO Channel 243</p> <p>7.3.2 Space–Time Coding Design 251</p> <p>7.3.3 Spatial Multiplexing Design 262</p> <p>7.3.4 Massive MIMO 268</p> <p>7.4 5G Multiple Access Techniques 271</p> <p>7.4.1 OFDM System Design 271</p> <p>7.4.2 FBMC, GFDM, and UFMC 280</p> <p>7.5 5G Channel Coding and Modulation 284</p> <p>7.5.1 LDPC Codes 285</p> <p>7.5.2 Coding and Modulation for High Spectral Efficiency 291</p> <p>Problems 299</p> <p>References 300</p> <p><b>8 Ultra-Reliable and Low Latency Communication Systems </b><b>303</b></p> <p>8.1 Design Approaches of URLLC Systems 304</p> <p>8.2 Short Packet Transmission 306</p> <p>8.3 Latency Analysis 317</p> <p>8.4 Multi-Access Edge Computing 328</p> <p>Problems 339</p> <p>References 340</p> <p><b>9 Massive Machine Type Communication Systems </b><b>343</b></p> <p>9.1 Introduction 343</p> <p>9.2 Design Approaches of mMTC Systems 344</p> <p>9.3 Robust Optimization 351</p> <p>9.4 Power Control and Management 362</p> <p>9.4.1 Linear Programming for Power Control in Distributed Networks 363</p> <p>9.4.2 Power Control Problem Formulations 366</p> <p>9.4.3 Beamforming for Transmit Power Minimization 370</p> <p>9.5 Wireless Sensor Networks 376</p> <p>Problems 392</p> <p>References 393</p> <p>Index 397</p>
<p><b>DR. HAESIK KIM</b> (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.
<p><b>A technical introduction to the mathematical methods and optimization algorithms required to design 5G communication systems</b> <p>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. It 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). <p><i>Design and Optimization for 5G Wireless Communications</i> is organized into two distinct parts: Part I introduces readers to mathematical methods and optimization algorithms for wireless communications, and provides them with all the mathematical background they need, including approximation theory, LS estimation, MMSE estimation, ML and MAP estimation, matrix factorization, linear programming, convex optimization, gradient descent method, supervised and unsupervised learning, reinforcement learning, and more. In Part II, 5G communication systems are designed and optimized using the mathematical methods and optimization algorithms. It covers 5G NR, MIMO, 5G waveforms (OFDM, FBMC, GFDM and UFMC), LDPC, short packet transmission theory, latency analysis of 4G and 5G networks, MEC optimizations, robust optimization, power control and management, wireless sensor networks, and so on. <ul> <li>Introduces mathematical methods and optimization algorithms for wireless communications and networks</li> <li>Helps readers find an optimal, sub-optimal, or trade-off solution for each communication problem using the optimization algorithms</li> <li>Focuses on design and optimization for 5G communication systems including eMBB, URLLC, and mMTC</li> </ul> <p><i>Design and Optimization for 5G Wireless Communications</i> is an ideal book for graduate students majoring in wireless communications or electrical engineering and researchers and developers of 5G communication systems. It will also benefit senior level undergraduate students and engineers working in the wireless communication industry.

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