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QoS and Energy Management in Cognitive Radio Network: Case Study Approach 1st ed. 2017 [Hardback]

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  • Formāts: Hardback, 202 pages, height x width: 235x155 mm, weight: 4498 g, 39 Illustrations, color; 21 Illustrations, black and white; XII, 202 p. 60 illus., 39 illus. in color., 1 Hardback
  • Sērija : Signals and Communication Technology
  • Izdošanas datums: 01-Nov-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319458582
  • ISBN-13: 9783319458588
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QoS and Energy Management in Cognitive Radio Network: Case Study Approach 1st ed. 2017Palielināt
  • Formāts: Hardback, 202 pages, height x width: 235x155 mm, weight: 4498 g, 39 Illustrations, color; 21 Illustrations, black and white; XII, 202 p. 60 illus., 39 illus. in color., 1 Hardback
  • Sērija : Signals and Communication Technology
  • Izdošanas datums: 01-Nov-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319458582
  • ISBN-13: 9783319458588
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319458588.html
Keywords:
This book covers the important aspects involved in making cognitive radio devices portable, mobile and green, while also extending their service life. At the same time, it presents a variety of established theories and practices concerning cognitive radio from academia and industry.Cognitive radio can be utilized as a backbone communication medium for wireless devices. To effectively achieve its commercial application, various aspects of quality of service and energy management need to be addressed. The topics covered in the book include energy management and quality of service provisioning at Layer 2 of the protocol stack from the perspectives of medium access control, spectrum selection, and self-coexistence for cognitive radio networks.

Introduction.- Cognitive Radio Network and QoS provisioning.- QoS Provisioning Framework for Cognitive Radio Network.- Channel Selection Techniques in Cognitive Radio Network.- Energy Management in Cognitive Radio Network.- Media Access Scheme for Cognitive Radio Network.- Self-Coexistence among Cognitive Radio Networks.- Case Studies- QoS Framework for Cognitive radio network.
1 Introduction
1(38)
1.1 Why This Book?
3(1)
1.2 Spectrum Regulation
4(4)
1.2.1 Licensed Spectrum
5(1)
1.2.2 Unlicensed Spectrum
5(2)
1.2.3 Open Spectrum
7(1)
1.3 Opportunistic Spectrum Usage
8(1)
1.4 Software Defined Radio and Cognitive Radio
9(7)
1.4.1 IEEE Groups Working on Spectrum Sharing
10(1)
1.4.2 Cognition Cycle
11(1)
1.4.3 Cognitive Engine and Framework
12(3)
1.4.4 Cognitive Radio Network
15(1)
1.5 Quality of Service (QoS)
16(4)
1.5.1 QoS Provisioning for Latency Guarantee
18(2)
1.5.2 QoS Provisioning for Throughput Guarantee
20(1)
1.6 Channel Selection Techniques in Cognitive Radio Network
20(3)
1.6.1 Channel Selection in CR Based Infrastructure Network
21(1)
1.6.2 Channel Selection in CR Based Ad-hoc Network
22(1)
1.7 MAC Protocols for Cognitive Radio Networks
23(5)
1.7.1 Random Access Based MAC Scheme
24(2)
1.7.2 Time-Slotted Based MAC Scheme
26(2)
1.8 Self-coexistence in Cognitive Radio Networks
28(2)
1.8.1 Resource Relocation Based Self-coexistence
29(1)
1.8.2 Resource Sharing Based Self-coexistence
30(1)
1.9 Discussion
30(9)
References
31(8)
2 Cognitive Radio Network- A Review
39(58)
2.1 Spectrum Management
39(17)
2.1.1 Ant Colony Optimization Based Spectrum Management
39(2)
2.1.2 Non-linear Optimization Based Spectrum Management
41(5)
2.1.3 Game Theory Based Spectrum Management
46(5)
2.1.4 Learning Automata Based Spectrum Selection
51(2)
2.1.5 Spectrum Selection in Varying Channel Bandwidth Environment
53(3)
2.2 Media Access Control
56(15)
2.2.1 QoS Aware Media Access Schemes
56(8)
2.2.2 High Throughput Media Access Schemes
64(3)
2.2.3 Self-coexistence Based MAC Protocol
67(4)
2.3 Energy Management
71(17)
2.3.1 Cooperative Sensing Based Energy Efficient Spectrum Sensing
72(7)
2.3.2 Non-cooperative Sensing Based Energy Efficient Spectrum Sensing
79(9)
2.4 Cognitive Radio Platforms
88(6)
2.4.1 From FPGAs to Software Defined Radio
89(1)
2.4.2 From Software Defined Radio to Cognitive Radio
89(1)
2.4.3 SDR Software
90(2)
2.4.4 WARPnet
92(1)
2.4.5 RTL-SDR
93(1)
2.5 Discussion
94(3)
References
94(3)
3 QoS Provisioning and Energy Management Framework for CRN
97(14)
3.1 QoS Parameters
98(2)
3.1.1 Latency Versus Throughput
98(1)
3.1.2 Self-coexistence and Its Role in QoS
99(1)
3.1.3 Energy Management and QoS
99(1)
3.2 QoS Framework for Cognitive Radio Network
100(1)
3.3 Detailed Layer 2 QoS Provisioning Framework
101(6)
3.3.1 Mode of Operation
104(1)
3.3.2 Generic Protocol Stack
105(2)
3.4 Self Organization
107(2)
3.4.1 Channel Availability Model
108(1)
3.4.2 Quiet Periods
108(1)
3.5 Discussion
109(2)
References
110(1)
4 Case Study: Spectrum Management in CRN Framework
111(28)
4.1 Spectrum Usage Behavior
111(2)
4.1.1 Deterministic Usage Behavior
111(1)
4.1.2 Stochastic Usage Behavior
112(1)
4.2 Reconfigurable Channel Selection
113(1)
4.3 Channel Selection in Deterministic Environment
114(14)
4.3.1 System Model
115(1)
4.3.2 Deterministic Learning with Spectrum Selection and Usage
116(2)
4.3.3 Minimal Channel Switch Requirement
118(2)
4.3.4 Maximum Throughput Requirement
120(1)
4.3.5 Intermediate Solution to Provide High Throughput Along with Minimal Channel Switch Requirement
120(1)
4.3.6 Complexity Analysis of Algorithms
121(1)
4.3.7 Spectrum Usage
122(1)
4.3.8 Performance Analysis
123(4)
4.3.9 Ad-hoc Mode Operation
127(1)
4.4 Channel Selection in Stochastic Environment
128(7)
4.4.1 System Model
128(1)
4.4.2 Communication Segment
129(1)
4.4.3 Spectrum Decision and Mapping of Packets
129(1)
4.4.4 Load Balancing
130(1)
4.4.5 Performance Analysis
131(4)
4.5 Discussion
135(4)
References
135(4)
5 Case Study: Media Access in CRN Framework
139(16)
5.1 System Model
139(3)
5.1.1 Traffic Type
140(1)
5.1.2 Channel Classification
141(1)
5.1.3 Quiet Period Distribution
141(1)
5.2 Hybrid Media Access Scheme
142(2)
5.2.1 Arbitration Interframe Spaces
143(1)
5.3 Initialization
144(1)
5.4 Operation
145(1)
5.4.1 Data Transfer on Reservation Based Channels
145(1)
5.4.2 Data Transfer on Contention Based Channels
145(1)
5.4.3 Data Transfer on a Foreign Channel
146(1)
5.5 Power Saving Mode Operation
146(1)
5.6 Broadcast and Multicast Operation
147(1)
5.7 Performance Analysis
148(3)
5.8 Infrastructure Mode Operation
151(1)
5.9 Hidden Terminal Problem in Ad-hoc Mode
152(1)
5.10 Discussion
153(2)
References
153(2)
6 Case Study: Energy Management in CRN Framework
155(12)
6.1 System Model
156(1)
6.2 Energy Aware Spectrum Allocation Scheme
157(3)
6.2.1 Spectrum Decision
157(1)
6.2.2 Bare Bandwidth Calculation
158(1)
6.2.3 Admission Control
159(1)
6.3 Performance Analysis
160(4)
6.4 Discussion
164(3)
References
165(2)
7 Case Study: Self-coexistence in CRN Framework
167(26)
7.1 Self-coexistence Procedure
167(2)
7.1.1 Detection of Interfering Network
168(1)
7.1.2 Recovery Process
169(1)
7.2 Resource Relocation Based Self-coexistence
169(11)
7.2.1 System Model
170(1)
7.2.2 Graph Coloring
171(1)
7.2.3 Optimization Problem Equivalent of ERMC
172(1)
7.2.4 Relationship Between Optimization Problems
173(2)
7.2.5 Self Coexistence Scheme with QoS Provisioning
175(3)
7.2.6 Performance Analysis
178(1)
7.2.7 Infrastructure Mode Operation
179(1)
7.3 Resource Sharing Based Self-coexistence
180(10)
7.3.1 System Model
181(1)
7.3.2 Design and Working
181(4)
7.3.3 Multiple CR Network Coexistence
185(1)
7.3.4 Performance Analysis
186(4)
7.4 Discussion
190(3)
References
191(2)
Appendix A Proof of Lemma 4.2 193(2)
Appendix B Proof of Lemma 4.3 195(2)
Appendix C Proof of Lemma 4.4 197(4)
Appendix D Proof of Polynomial Bound Convergence of Algorithm 7.1 201
Vishram Mishra received his B. Tech. degree in Computer Science and Engineering from Cochin University of Technology, India while Ph.D. degree in Computer Engineering from Nanyang Technological University, Singapore. He has authored multiple international journals and conferences. He has strong interest in the area of cognitive radio, computer networks and embedded systems.

Currently he is pursuing his entrepreneurial journey in the area of advanced computer networks.

Jimson Mathew is currently an Associate Professor in the Computer Science and Engineering Department, Indian Institute of Technology Patna, India. He received the Masters in computer engineering from Nanyang Technological University, Singapore and the Ph.D. degree in computer engineering from the University of Bristol, Bristol, U.K. He has held positions with the Centre for Wireless Communications, National University of Singapore, Bell Laboratories Research Lucent Technologies North Ryde, Australia, Roy

al Institute of Technology KTH, Stockholm, Sweden and Department of Computer Science, University of Bristol, UK. His research interests include fault-tolerant computing, computer arithmetic, hardware security, very large scale integration design andautomation, and design of nano scale circuits and systems and cognitive radio systems.

Chiew-Tong Lau received the B.Eng. degree from Lakehead University in 1983, and the M.A.Sc. and Ph.D. degrees in electrical engineering from the University of British Columbia in 1985 and 1990 respectively. He is currently an Associate Professor in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His research interests include wireless communications systems and signal processing.