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E-raamat: Cloud Radio Access Networks: Principles, Technologies, and Applications

Edited by (Singapore University of Technology and Design), Edited by (University of Toronto), Edited by (New Jersey Institute of Technology), Edited by
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 02-Feb-2017
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781316863183
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Cloud Radio Access Networks: Principles, Technologies, and ApplicationsSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 02-Feb-2017
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9781316863183
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This is the first book to focus exclusively on Cloud Radio Access Networks (C-RANs). Covering fundamental theory, techniques for deployment and operation, and potential applications, it is the definitive guide for practicing engineers, researchers, and graduate students interested in future wireless networks.

This unique text will enable readers to understand the fundamental theory, current techniques, and potential applications of Cloud Radio Access Networks (C-RANs). Leading experts from academia and industry provide a guide to all of the key elements of C-RANs, including system architecture, performance analysis, technologies in both physical and medium access control layers, self-organizing and green networking, standards development, and standardization perspectives. Recent developments in the field are covered, as well as open research challenges and possible future directions. The first book to focus exclusively on Cloud Radio Access Networks, this is essential reading for engineers in academia and industry working on future wireless networks.

Arvustused

'This is the first book that covers the fundamental theory, current techniques, and applications of cloud radio access networks. The coverage is balanced and the topics are very timely This book should be essential reading for graduate students, engineers, and researchers who are interested in exploring this important field of wireless communication research.' Zhi-Quan Luo, The Chinese University of Hong Kong, Shenzhen

Muu info

The first book on Cloud Radio Access Networks (C-RANs), covering fundamental theory, current techniques, and potential applications.
Acknowledgments xi
Foreword xiii
Preface xv
List of Contributors
xvi
Part I Architecture of C-RANs
1(32)
1 Overview of C-RAN
3(9)
1.1 Introduction
3(1)
1.2 C-RAN Basic
4(2)
1.3 Challenges
6(1)
1.4 Evolved C-RAN with NGFI
7(2)
1.5 Deployment Cases and Standardization Activities
9(3)
References
11(1)
2 Advanced C-RAN for Heterogeneous Networks
12(21)
2.1 Introduction
12(1)
2.2 Advanced C-RAN Architecture and Add-On Cells
13(5)
2.3 Performance Evaluation of Advanced C-RAN Architecture and Add-On Cells
18(6)
2.4 Smart-Cell Adaptation Using Add-On Cells
24(3)
2.5 Simulation Results
27(6)
References
30(3)
Part II Physical-Layer Design in C-RANs
33(192)
3 The Tradeoff of Computational Complexity and Achievable Rates in C-RANs
35(19)
3.1 Introduction
35(1)
3.2 Basics
36(2)
3.3 Complexity Model and Metrics
38(4)
3.4 Complexity Analysis Framework
42(4)
3.5 Joint RAN and Cloud Scheduling
46(6)
3.6 Summary
52(2)
References
53(1)
4 Cooperative Beamforming and Resource Optimization in C-RANs
54(28)
4.1 C-RAN Model
55(5)
4.2 Uplink C-RAN
60(10)
4.3 Downlink C-RAN
70(9)
4.4 Summary
79(3)
References
80(2)
5 Training Design and Channel Estimation in C-RANs
82(35)
5.1 Background Overview
82(3)
5.2 Superimposed Training Scheme in C-RANs
85(16)
5.3 Segment Training Scheme in C-RANs
101(11)
5.4 Non-Training-Based Channel Estimation in C-RANs
112(1)
5.5 Channel Estimation in Fronthaul Constrained and Large-Scale C-RANs
113(1)
5.6 Summary
114(3)
References
115(2)
6 Massive MIMO in C-RANs
117(32)
6.1 Introduction
117(2)
6.2 System Model
119(2)
6.3 Achievable Rate
121(7)
6.4 Energy Efficiency
128(4)
6.5 Joint User Scheduling and RAU Selection Algorithms
132(2)
6.6 Numerical Results
134(8)
6.7 Conclusion
142(1)
6.8 Appendix
142(7)
References
146(3)
7 Large-Scale Convex Optimization for C-RANs
149(30)
7.1 Introduction
149(3)
7.2 Large-Scale Convex Optimization in Dense C-RANs
152(5)
7.3 Matrix Stuffing for Fast Cone-Programming Transformation
157(5)
7.4 Operator Splitting for Large-Scale Homogeneous Self-Dual Embedding
162(8)
7.5 Numerical Results
170(4)
7.6 Summary and Discussion
174(5)
References
175(4)
8 Fronthaul Compression in C-RANs
179(21)
8.1 Introduction
179(2)
8.2 State of the Art: Point-to-Point Fronthaul Processing
181(3)
8.3 Network-Aware Fronthaul Processing: Uplink
184(7)
8.4 Network-Aware Fronthaul Processing: Downlink
191(3)
8.5 Network-Aware Fronthaul Processing: In-Network Processing
194(2)
8.6 Concluding Remarks
196(1)
8.7 Acknowledgments
197(3)
References
197(3)
9 Adaptive Compression in C-RANs
200(25)
9.1 Introduction
200(2)
9.2 System Model
202(4)
9.3 Block Error Rate Analysis
206(4)
9.4 Adaptive Compression under QoS Constraint
210(6)
9.5 Simulation Results
216(5)
9.6 Conclusions
221(4)
References
221(4)
Part III Resource Allocation and Networking in C-RANs
225(170)
10 Resource Management of Heterogeneous C-RANs
227(28)
10.1 Introduction
227(1)
10.2 Future Network Architectures
228(3)
10.3 Practical Challenges in C-RAN and H-CRAN
231(1)
10.4 Cognitive Radio Resource Management and Software-Defined Design
232(7)
10.5 Feedbackless Radio Access
239(5)
10.6 Information-Bridled Resource Optimization and Social Data Cache-Based Routing
244(7)
10.7 Conclusion
251(4)
References
252(3)
11 Coordinated Scheduling in C-RANs
255(27)
11.1 Introduction
255(1)
11.2 Coordinated Scheduling in a Single Cloud-RAN
256(11)
11.3 Hybrid Scheduling in a Multicloud-RAN
267(11)
11.4 General Framework and Future Applications
278(1)
11.5 Conclusion
279(3)
References
280(2)
12 Delay-Aware Radio Resource Allocation Optimization in Heterogeneous C-RANs
282(32)
12.1 Introduction
282(1)
12.2 General Model and Methodology
283(5)
12.3 Delay-Aware Radio-Resource-Optimization Algorithms
288(23)
12.4 Concluding Remarks
311(3)
References
312(2)
13 C-RAN Using Wireless Fronthaul: Fast Admission Control and Large System Analysis
314(33)
13.1 Introduction
314(3)
13.2 System Model and Problem Formulation
317(2)
13.3 Analysis and Algorithm Design for Finite Systems
319(9)
13.4 Asymptotic Analysis and Algorithm Design for Large Systems
328(6)
13.5 Simulation Results
334(8)
13.6 Conclusions and Future Work
342(1)
13.7 Appendix
343(4)
References
343(4)
14 Toward Green Deployment and Operation for C-RANs
347(30)
14.1 Introduction
347(2)
14.2 On the Size of VBS Pools in C-RANs
349(17)
14.3 Energy--Delay Tradeoffs of VBSs in C-RAN
366(7)
14.4 Conclusions and Outlook
373(4)
References
374(3)
15 Optimal Repeated Spectrum Sharing by Delay-Sensitive Users
377(18)
15.1 Introduction
377(1)
15.2 A General Model of Spectrum Sharing in C-RANs
378(4)
15.3 The Optimal Spectrum-Sharing Policy is Non-Stationary
382(3)
15.4 New Design Methodology for Spectrum-Sharing Policies
385(2)
15.5 Applications to Realistic C-RAN Deployment Scenarios
387(2)
15.6 Performance Gains
389(1)
15.7 Related Work
390(2)
15.8 Conclusion
392(3)
References
392(3)
Part IV Networking in C-RANs
395(76)
16 Mobility Management for C-RANs
397(10)
16.1 Introduction
397(1)
16.2 HCSNet Architecture
398(1)
16.3 Handover Management in HCSNet
399(6)
16.4 Conclusion
405(2)
References
405(2)
17 Caching in C-RAN
407(24)
17.1 Introduction
407(1)
17.2 Generalities on C-RANs
408(4)
17.3 General Idea of Distributed Caching
412(1)
17.4 Cooperative Caching in C-RAN
413(5)
17.5 Game Theory for Distributed Caching in C-RAN
418(10)
17.6 Conclusion
428(3)
References
429(2)
18 A Cloud Service Model and Architecture for Small-Cell RANs
431(20)
18.1 A Cloud Service Model for Radio Access Networks
431(3)
18.2 Joint Channel and Power Allocation in Dense Small-Cell RANs
434(2)
18.3 A QoS-Based User Scheduling in Dense Small-Cell RANs
436(3)
18.4 The MAC Protocol for Joint Resource Sharing in the CoC-RAN
439(1)
18.5 A Cloud Service Model for the CNs and RANs of Dense Small-Cell Networks
440(2)
18.6 Cloud Operating Systems for Core and Radio Access Networks
442(3)
18.7 A Cloud Service Model for SDN-Based Mobility Management
445(3)
18.8 CoC-RAN Prototype and Emulation Results
448(2)
18.9 Conclusions
450(1)
References
450(1)
19 Field Trials and Testbed Design for C-RAN
451(20)
19.1 Introduction
451(1)
19.2 Field-Trial Verification of FH Solutions
451(5)
19.3 CoMP Demonstration in C-RANs
456(5)
19.4 COTS and Accelerator-Based Virtualized C-RAN System
461(9)
19.5 Conclusions
470(1)
19.6 Acknowledgments
471(1)
References 471(1)
Index 472
Tony Q. S. Quek is an Associate Professor at the Singapore University of Technology and Design, and a scientist at the Institute for Infocomm Research. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a co-editor of the book Small Cell Networks (Cambridge, 2013). Mugen Peng is a Professor in the School of Information and Communication Engineering at the Beijing University of Posts and Telecommunications. He is a Fellow of the Institution of Engineering and Technology (IET) and a recipient of the First Grade Award of Technological Invention from both the Ministry of Education of China and the Ministry of Industry and Information Technology of China. Osvaldo Simeone is an Associate Professor affiliated with the Center for Wireless Communications and Signal Processing Research at the New Jersey Institute of Technology. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Wei Yu is a Professor and Canada Research Chair in Information Theory and Wireless Communications at the University of Toronto. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).
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