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E-raamat: Green and Software-defined Wireless Networks: From Theory to Practice

(Georgia Institute of Technology), , , (Zhejiang University, China)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 25-Apr-2019
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781108281034
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Green and Software-defined Wireless Networks: From Theory to PracticeSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 25-Apr-2019
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781108281034
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Understand the fundamental theory and practical design aspects of green and soft wireless communications networks with this expert text. It provides comprehensive and unified coverage of 5G physical layer design, as well as design of the higher and radio access layers and the core network, drawing on viewpoints from both academia and industry. Get to grips with the theory through authoritative discussion of information-theoretical results, and learn about fundamental green design trade-offs, software-defined network architectures, and energy efficient radio resource management strategies. Applications of wireless big data and artificial intelligence to wireless network design are included, providing an excellent design reference, and real-world examples of employment in software-defined 5G networks and energy saving solutions from wireless communications companies and cellular operators help to connect theory with practice. This is an essential text for graduate students, professionals and researchers.

An expert treatment of the state-of-the-art in green and soft communications, covering theory, 5G physical layer design, network architecture, energy efficient resource management strategies, and applications of wireless big data and artificial intelligence to wireless network design. Ideal for graduate students, professionals and researchers.

Arvustused

'This volume provides the reader with an exquisite amalgam of classical and radically new wireless solutions, striking a compelling balance between the underlying theory and the associated practical issues.' Lajos Hanzo, University of Southampton 'This book provides a comprehensive introduction to green and software-defined wireless networks. The authors are recognized experts in these areas, and provide theoretical foundations as well as examples of real-world applications. By connecting theory with practice, this book will be very useful for academic researchers and practicing engineers.' Leonard Cimini, University of Delaware 'This book provides a comprehensive yet focused description of green and software-defined wireless networks with rich real-world examples of employment.' Zhisheng Niu, Tsinghua University, Beijing

Muu info

An expert treatment of the state-of-the-art in green and soft communications, covering theory, design, and resource management strategies.
Preface xi
List of Abbreviations
xiii
1 Introduction
1(15)
1.1 Why Green and Soft?
1(2)
1.2 Green: From UE to Infrastructure
3(2)
1.3 Soft: From Core Network to RAN
5(2)
1.4 Green vs. Soft: An Unsolvable Contradiction?
7(1)
1.5 Rethinking Green and Soft 5G Network Design
7(6)
1.5.1 Rethink Shannon
8(1)
1.5.2 Rethink Ring and Young
9(1)
1.5.3 Rethink Signaling and Control
10(1)
1.5.4 Rethink Antenna
10(1)
1.5.5 Rethink Spectrum and Air Interface
11(1)
1.5.6 Rethink Fronthaul
11(1)
1.5.7 Rethink Protocol Stack
12(1)
1.5.8 Rethink Big Data Analytics in Wireless Communications
12(1)
1.6 Skeleton of This Book
13(3)
2 Theoretical Framework toward Green Networks
16(45)
2.1 Metrics for Green Radio
16(3)
2.2 EE Study from Information Theory
19(4)
2.3 Fundamental EE-SE Trade-Off
23(9)
2.3.1 EE-SE Relation
25(3)
2.3.2 Bounds on the EE-SE Curve
28(3)
2.3.3 Further Discussion
31(1)
2.4 EE Design in Orthogonal Systems
32(11)
2.4.1 Weighted Summation EE Maximization
33(5)
2.4.2 Maximum-Minimal EE Maximization
38(2)
2.4.3 Numerical Results
40(3)
2.5 EE Design in Non-Orthogonal Systems
43(18)
2.5.1 Utopia EE
44(2)
2.5.2 Pareto-Optimal EE
46(4)
2.5.3 Numerical Results
50(1)
Appendix 2.1 Optimization Theory for EE Design
51(1)
A2.1.1 Fractional Programming and the Dinkelbach Algorithm
52(1)
A2.1.2 Sum-of-Ratios Optimization
53(2)
A2.1.3 Generalized Fractional Programming
55(2)
A2.1.4 Multi-Objective Optimization and Weighted Tchebycheff Method
57(4)
3 Green and Soft Network Design
61(81)
3.1 Green and Soft Wireless Communication Network Design
61(10)
3.1.1 E2E Network Architecture for 5G
62(1)
3.1.2 Next-Generation Core Network
62(2)
3.1.3 Next-Generation RAN
64(2)
3.1.4 Next-Generation Transport Network
66(1)
3.1.5 Key Issues of E2E Network Architecture
66(4)
3.1.6 Summary
70(1)
3.2 C-RAN: Revolutionary Evolution of RAN
71(19)
3.2.1 Introduction
71(1)
3.2.2 C-RAN Basics
72(1)
3.2.3 Evolution of C-RAN towards 5G
73(2)
3.2.4 NGFI: Next-Generation Fronthaul Interface
75(1)
3.2.5 CU-DU Architecture for 5G
76(5)
3.2.6 Rethink Protocol Stack for 5G: MCD
81(9)
3.3 Big-Data-Enabled Mobile Network Design
90(52)
3.3.1 Background of Big Data
90(4)
3.3.2 Wireless Big Data
94(3)
3.3.3 Artificial Intelligence in Wireless Networks
97(1)
3.3.4 Application of WBD and AI into Mobile Network
98(2)
3.3.5 Green and Soft Network Architecture with WBD
100(6)
3.3.6 Big-Data-Enabled Automatic Network Management and Operation
106(4)
3.3.7 Big-Data-Empowered MEC
110(2)
3.3.8 Big-Data-Assisted Protocol Stack and Signaling Procedure Optimization
112(4)
3.3.9 Big-Data-and AI-Enabled Radio Resource Management
116(6)
3.3.10 Big-Data-Assisted High-Efficiency Physical Layer Operation
122(3)
3.3.11 Big Data Platform Capabilities/Environment
125(3)
3.3.12 Enhanced System Performance with WBD
128(14)
4 Energy-Efficient Signaling Design and Resource Management
142(40)
4.1 Sleeping Strategy and Cell Zooming
143(3)
4.1.1 Dynamic Base Station Sleep Control
143(1)
4.1.2 Cell Zooming for Green Cellular Networks
144(1)
4.1.3 Soft-Defined Network Architecture for Green Cellular Networks
145(1)
4.2 Joint Optimization of Uplink and Downlink Energy Efficiency
146(9)
4.2.1 System Model and Problem Formulation
147(3)
4.2.2 Joint Uplink and Downlink Resource Allocation
150(3)
4.2.3 Numerical Results
153(2)
4.3 Energy-Efficient Resource Allocation in Homogeneous Networks
155(10)
4.3.1 System Model and Problem Formulation
157(2)
4.3.2 Problem Analysis and the Sub-Optimal Algorithm
159(3)
4.3.3 Numerical Results
162(3)
4.4 Energy-Efficient Resource Allocation in Heterogenous Networks
165(17)
4.4.1 System Model and Problem Formulation
167(2)
4.4.2 The Multi-Objective Energy-Efficient Algorithm
169(6)
4.4.3 Numerical Results
175(7)
5 Software-Defined Air Interface (SDAI) for a Greener Network
182(70)
5.1 SDAI Framework
182(3)
5.2 Wireless Propagation in 5G Use Cases
185(6)
5.2.1 The Importance of Propagation Channels
185(1)
5.2.2 Channel Modeling Principle and Fundamentals
186(1)
5.2.3 Channel Modeling Methods in Cellular Systems
186(2)
5.2.4 New and Exciting Challenges in Channel Modeling
188(3)
5.2.5 Concluding Remarks
191(1)
5.3 Flexible Frame Structure
191(7)
5.3.1 Frame Structure Design Principles
192(5)
5.3.2 Progress of Frame Structure in 3GPP 5G NR
197(1)
5.3.3 Concluding Remarks
197(1)
5.4 Flexible MIMO
198(9)
5.4.1 Unified Framework for MIMO Techniques for 5G
198(2)
5.4.2 Schemes of Hybrid Beamforming
200(2)
5.4.3 EE--SE Analysis of Hybrid Beamforming
202(2)
5.4.4 Standardization
204(3)
5.4.5 Summary
207(1)
5.5 New Waveform
207(14)
5.5.1 w-OFDM/f-OFDM
208(1)
5.5.2 UFMC
209(1)
5.5.3 FBMC
209(2)
5.5.4 GFDM
211(1)
5.5.5 OTFS
211(2)
5.5.6 Variants of DFT-s-OFDM
213(1)
5.5.7 Constant Envelope Waveform
214(1)
5.5.8 Unified Waveform Framework
214(2)
5.5.9 Waveform for 5G NR in 3GPP
216(4)
5.5.10 Summary
220(1)
5.6 Flexible Multiple Access Schemes
221(11)
5.6.1 Potential New Multiple Access Techniques for 5G
221(7)
5.6.2 Theoretical Analysis of a NoMA System
228(1)
5.6.3 A Unified Framework of Multiple Access Schemes
229(2)
5.6.4 Summary
231(1)
5.7 Full Duplex
232(9)
5.7.1 Interference Mitigation in Full Duplex Networks
234(3)
5.7.2 Full Duplex Frame Structure Design
237(2)
5.7.3 Extension of FDD and TDD to Full Duplex
239(1)
5.7.4 Summary
240(1)
5.8 Flexible Signaling, Control, and Protocol
241(11)
5.8.1 Introduction
241(1)
5.8.2 New SCP Function Components
242(3)
5.8.3 Summary
245(7)
6 Energy-Saving Solutions and Practices
252(35)
6.1 Green Wireless Technologies in Cellular Networks
252(3)
6.1.1 Energy-Saving in GSM
252(1)
6.1.2 Energy-Saving in TD-SCDMA
253(1)
6.1.3 Energy-Saving in LTE
253(2)
6.2 Multi-RAT Cooperation Energy-Saving System (MCES)
255(5)
6.2.1 Basic Principle
256(1)
6.2.2 Functional Architecture
257(1)
6.2.3 Technical Characteristics
258(1)
6.2.4 Deployment Progress in China
259(1)
6.3 WLAN Energy-Saving Technology
260(1)
6.3.1 AP Device Shutdown
260(1)
6.3.2 AP RF Channel Shutdown
260(1)
6.3.3 AP Single/Dual Band Selection
261(1)
6.4 C-RAN Field Trials
261(6)
6.4.1 Introduction
261(1)
6.4.2 Demonstration of WDM-Based FH Solutions
262(1)
6.4.3 Test Methodology
262(2)
6.4.4 C-RAN-Based UL CoMP Test
264(3)
6.5 Green Application
267(5)
6.5.1 Key Factors for App Power Consumption
268(3)
6.5.2 Optimization
271(1)
6.6 "Invisible BS"
272(15)
6.6.1 Motivation
272(1)
6.6.2 Powerful Baseband Platform with a Unified Design
273(2)
6.6.3 SmarTile
275(4)
6.6.4 Flexible Over-the-Air Calibration Scheme
279(3)
6.6.5 High-Efficiency Heat Dissipation Testbed
282(5)
Index 287
Chih-Lin I is chief scientist of wireless technologies at the China Mobile Research Institute, having previously held senior positions at AT&T and the Industrial Technology Research Institute, Taiwan. Guanding Yu is a professor at the College of Information Science and Electronics Engineering at Zhejiang University, China. Shuangfeng Han is a senior project manager in the Green Communication Research Center at the China Mobile Research Institute, and Vice Chair of the wireless technology work group in China's IMT-2020 (5G) Promotion Group. Geoffrey Ye Li is a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, and a Fellow of the IEEE.
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