Mobile and Wireless Communications for IMT-Advanced and Beyond (eBook, PDF)
Redaktion: Osseiran, Afif; Mohr, Werner; Monserrat, Jose F.
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Mobile and Wireless Communications for IMT-Advanced and Beyond (eBook, PDF)
Redaktion: Osseiran, Afif; Mohr, Werner; Monserrat, Jose F.
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A timely addition to the understanding of IMT-Advanced, this book places particular emphasis on the new areas which IMT-Advanced technologies rely on compared with their predecessors. These latest areas include Radio Resource Management, Carrier Aggregation, improved MIMO support and Relaying. Each technique is thoroughly described and illustrated before being surveyed in context of the LTE-Advanced standards. The book also presents state-of-the-art information on the different aspects of the work of standardization bodies (such as 3GPP and IEEE), making global links between them. * Explores…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 328
- Erscheinungstermin: 8. August 2011
- Englisch
- ISBN-13: 9781119976424
- Artikelnr.: 37347210
- Verlag: John Wiley & Sons
- Seitenzahl: 328
- Erscheinungstermin: 8. August 2011
- Englisch
- ISBN-13: 9781119976424
- Artikelnr.: 37347210
Abbreviations xix List of Contributors xxv 1 Introduction 1 1.1 Market and
Technology Trends 1 1.2 Technology Evolution 3 1.3 Development of
IMT-Advanced and Beyond 6 References 8 2 Radio Resource Management 11 2.1
Overview of Radio Resource Management 11 2.2 Resource Allocation in
IMT-Advanced Technologies 13 2.2.1 Main IMT-Advanced Characteristics 13
2.2.2 Scheduling 16 2.2.3 Interference Management 16 2.2.4 Carrier
Aggregation 18 2.2.5 MBMS Transmission 18 2.3 Dynamic Resource Allocation
19 2.3.1 Resource Allocation and Packet Scheduling Using Utility Theory 19
2.3.2 Resource Allocation with Relays 22 2.3.3 Multiuser Resource
Allocation Maximizing the UE QoS 24 2.3.4 Optimization Problems and
Performance 26 2.4 Interference Coordination in Mobile Networks 26 2.4.1
Power Control 27 2.4.2 Resource Partitioning 28 2.4.3 MIMO Busy Burst for
Interference Avoidance 33 2.5 Efficient MBMS Transmission 35 2.5.1 MBMS
Transmission 36 2.5.2 Performance Assessment 37 2.6 Future Directions of
RRM Techniques 39 References 40 3 Carrier Aggregation 43 3.1 Basic Concepts
43 3.2 ITU-R Requirements and Implementation in Standards 45 3.3 Evolution
Towards Future Technologies 48 3.3.1 Channel Coding 48 3.3.2 Scheduling 51
3.3.3 Channel Quality Indicator 53 3.3.4 Additional Research Directions 54
3.4 Cognitive Radio Enabling Dynamic/Opportunistic Carrier Aggregation 55
3.4.1 Spectrum Sharing and Opportunistic Carrier Aggregation 56 3.4.2
Spectrum Awareness 58 3.4.3 Cognitive Component Carrier Identification,
Selection and Mobility 59 3.5 Implications for Signaling and Architecture
59 3.6 Hardware and Legal Limitations 60 References 61 4 Spectrum Sharing
63 4.1 Introduction 63 4.2 Literature Overview 64 4.2.1 Spectrum Sharing
from a Game Theoretic Perspective 66 4.2.2 Femtocells 67 4.3 Spectrum
Sharing with Game Theory 68 4.3.1 Noncooperative Case 68 4.3.2 Hierarchical
Case 69 4.4 Spectrum Trading 70 4.4.1 Revenue and Cost Function for the
Offering Operator 73 4.4.2 Numerical Results 74 4.5 Femtocells and
Opportunistic Spectrum Usage 75 4.5.1 Femtocells and Standardization 77
4.5.2 Self-Organized Femtocells 79 4.5.3 Beacon-Based Femtocells 81 4.5.4
Femtocells with Intercell Interference Coordination 82 4.5.5 Femtocells
with Game Theory 83 4.6 Conclusion, Discussion and Future Research 84 4.6.1
Future Research 85 References 86 5 Multiuser MIMO Systems 89 5.1 MIMO
Fundamentals 89 5.1.1 System Model 91 5.1.2 Point-to-Point MIMO
Communications 92 5.1.3 Multiuser MIMO Communications 96 5.1.4 MIMO with
Interference 100 5.2 MIMO in LTE-Advanced and 802.16m 101 5.2.1
LTE-Advanced 102 5.2.2 WiMAX Evolution 104 5.3 Generic Linear Precoding
with CSIT 104 5.3.1 Transmitter-Receiver Design 105 5.3.2 Transceiver
Design with Interference Nulling 110 5.4 CSI Acquisition for Multiuser MIMO
112 5.4.1 Limited Feedback 112 5.4.2 CSI Sounding 113 5.5 Future Directions
of MIMO Techniques 114 References 115 6 Coordinated Multi Point (CoMP)
Systems 121 6.1 Overview of CoMP 121 6.1.1 CoMP Types 122 6.1.2
Architectures and Clustering 123 6.1.3 Theoretical Performance Limits and
Implementation Constraints 126 6.2 CoMP in the Standardization Bodies 129
6.2.1 Overview of CoMP Studies 129 6.2.2 Design Choices for a CoMP
Functionality 131 6.3 Generic System Model for Downlink CoMP 133 6.3.1 SINR
for Linear Transmissions 133 6.3.2 Compact Matricial Model 134 6.4 Joint
Processing Techniques 134 6.4.1 State of the Art 135 6.4.2 Potential of
Joint Processing 136 6.4.3 Dynamic Joint Processing 137 6.4.4 Uplink Joint
Processing 141 6.5 Coordinated Beamforming and Scheduling Techniques 142
6.5.1 State of the Art 142 6.5.2 Decentralized Coordinated Beamforming 143
6.5.3 Coordinated Scheduling via Worst Companion Reporting 145 6.6
Practical Implementation of CoMP in a Trial Environment 147 6.6.1 Setup and
Scenarios 149 6.6.2 Measurement Results 149 6.7 Future Directions 151
References 152 7 Relaying for IMT-Advanced 157 7.1 An Overview of Relaying
157 7.1.1 Relay Evolution 158 7.1.2 Relaying Deployment Scenarios 159 7.1.3
Relaying Protocol Strategies 160 7.1.4 Half Duplex and Full Duplex Relaying
162 7.1.5 Numerical Example 162 7.2 Relaying in the Standard Bodies 164
7.2.1 Relay Types in LTE-Advanced Rel-10 164 7.2.2 Relay Nodes in IEEE
802.16m 166 7.3 Comparison of Relaying and CoMP 166 7.3.1 Protocols and
Resource Management 167 7.3.2 Simulation Results 169 7.4 In-band RNs versus
Femtocells 171 7.5 Cooperative Relaying for Beyond IMT-Advanced 173 7.6
Relaying for beyond IMT-Advanced 176 7.6.1 Multihop RNs 176 7.6.2 Mobile
Relay 177 7.6.3 Network Coding 177 References 177 8 Network Coding in
Wireless Communications 181 8.1 An Overview of Network Coding 181 8.1.1
Historical Background 182 8.1.2 Types of Network Coding 183 8.1.3
Applications of Network Coding 183 8.2 Uplink Network Coding 188 8.2.1
Detection Strategies 188 8.2.2 User Grouping 190 8.2.3 Relay Selection 191
8.2.4 Performance 192 8.2.5 Integration in IMT-Advanced and Beyond 194 8.3
Nonbinary Network Coding 194 8.3.1 Nonbinary NC based on UE Cooperation 195
8.3.2 Nonbinary NC for Multiuser and Multirelay 196 8.3.3 Performance 197
8.3.4 Integration in IMT-Advanced and Beyond 198 8.4 Network Coding for
Broadcast and Multicast 199 8.4.1 Efficient Broadcast Network Coding Scheme
200 8.4.2 Performance 201 8.5 Conclusions and Future Directions 202
References 203 9 Device-to-Device Communication 207 9.1 Introduction 207
9.2 State of the Art 208 9.2.1 In Standards 208 9.2.2 In Literature 210 9.3
Device-to-Device Communication as Underlay to Cellular Networks 211 9.3.1
Session Setup 212 9.3.2 D2D Transmit Power 214 9.3.3 Multiantenna
Techniques 215 9.3.4 Radio Resource Management 220 9.4 Future Directions
225 References 228 10 The End-to-end Performance of LTE-Advanced 231 10.1
IMT-Advanced Evaluation: ITU Process, Scenarios and Requirements 231 10.1.1
ITU-R Process for IMT-Advanced 232 10.1.2 Evaluation Scenarios 234 10.1.3
Performance Requirements 235 10.2 Short Introduction to LTE-Advanced
Features 238 10.2.1 The WINNER+ Evaluation Group Assessment Approach 238
10.3 Performance of LTE-Advanced 239 10.3.1 3GPP Self-evaluation 239 10.3.2
Simulative Performance Assessment by WINNER+ 241 10.3.3 LTE-Advanced
Performance in the Rural Indian Open Area Scenario 243 10.4 Channel Model
Implementation and Calibration 243 10.4.1 IMT-Advanced Channel Model 243
10.4.2 Calibration of Large-Scale Parameters 246 10.4.3 Calibration of
Small-Scale Parameters 247 10.5 Simulator Calibration 248 10.6 Conclusion
and Outlook on the IMT-Advanced Process 249 References 250 11 Future
Directions 251 11.1 Radio Resource Allocation 252 11.2 Heterogeneous
Networks 252 11.3 MIMO and CoMP 253 11.4 Relaying and Network Coding 254
11.5 Device-to-Device Communications 254 11.6 Green and Energy Efficiency
255 References 256 Appendices 259 Appendix A Resource Allocation 261 A.1
Dynamic Resource Allocation 261 A.1.1 Utility Predictive Scheduler 261
A.1.2 Resource Allocation with Relays 261 A.2 Multiuser Resource Allocation
263 A.2.1 PHY/MAC Layer Model 263 A.2.2 APP Layer Model 263 A.2.3
Optimization Problem 264 A.2.4 Simulation Results 265 A.3 Busy Burst
Extended to MIMO 266 A.4 Efficient MBMS Transmission 267 A.4.1 Service
Operation 267 A.4.2 Frequency Division Multiplexing (FDM) Performance 268
Appendix B Spectrum Awareness 269 B.1 Spectrum Sensing 269 B.2 Geo-Location
Databases 270 B.3 Beacon Signaling 270 Appendix C CoordinatedMultiPoint
(CoMP) 271 C.1 Joint Processing Methods 271 C.1.1 Partial Joint Processing
271 C.1.2 Dynamic Base Station Clustering 271 C.2 Coordinated Beamforming
and Scheduling 273 C.2.1 Decentralized Coordinated Beamforming 273 C.2.2
Coordinated Scheduling via Worst Companion Reporting 276 C.3 Test-Bed:
Distributed Realtime Implementation 276 Appendix D Network Coding 281 D.1
Nonbinary NC based on UE Cooperation 281 D.2 Multiuser and Multirelay
Scenario 282 Appendix E LTE-Advanced Analytical Performance and Peak
Spectral Efficiency 285 E.1 Analytical and Inspection Performance
Assessment by WINNER+ 285 E.1.1 Analytical Evaluation 285 E.1.2 Inspection
286 E.2 Peak Spectral Efficiency Calculation 287 E.2.1 FDD Mode Downlink
Direction 287 E.2.2 FDD Mode Uplink Direction 288 E.2.3 TDD Mode Downlink
Direction 289 E.2.4 TDD Mode Uplink Direction 291 E.2.5 Comparison with
Self-Evaluation 292 References 292 Index 295
Abbreviations xix List of Contributors xxv 1 Introduction 1 1.1 Market and
Technology Trends 1 1.2 Technology Evolution 3 1.3 Development of
IMT-Advanced and Beyond 6 References 8 2 Radio Resource Management 11 2.1
Overview of Radio Resource Management 11 2.2 Resource Allocation in
IMT-Advanced Technologies 13 2.2.1 Main IMT-Advanced Characteristics 13
2.2.2 Scheduling 16 2.2.3 Interference Management 16 2.2.4 Carrier
Aggregation 18 2.2.5 MBMS Transmission 18 2.3 Dynamic Resource Allocation
19 2.3.1 Resource Allocation and Packet Scheduling Using Utility Theory 19
2.3.2 Resource Allocation with Relays 22 2.3.3 Multiuser Resource
Allocation Maximizing the UE QoS 24 2.3.4 Optimization Problems and
Performance 26 2.4 Interference Coordination in Mobile Networks 26 2.4.1
Power Control 27 2.4.2 Resource Partitioning 28 2.4.3 MIMO Busy Burst for
Interference Avoidance 33 2.5 Efficient MBMS Transmission 35 2.5.1 MBMS
Transmission 36 2.5.2 Performance Assessment 37 2.6 Future Directions of
RRM Techniques 39 References 40 3 Carrier Aggregation 43 3.1 Basic Concepts
43 3.2 ITU-R Requirements and Implementation in Standards 45 3.3 Evolution
Towards Future Technologies 48 3.3.1 Channel Coding 48 3.3.2 Scheduling 51
3.3.3 Channel Quality Indicator 53 3.3.4 Additional Research Directions 54
3.4 Cognitive Radio Enabling Dynamic/Opportunistic Carrier Aggregation 55
3.4.1 Spectrum Sharing and Opportunistic Carrier Aggregation 56 3.4.2
Spectrum Awareness 58 3.4.3 Cognitive Component Carrier Identification,
Selection and Mobility 59 3.5 Implications for Signaling and Architecture
59 3.6 Hardware and Legal Limitations 60 References 61 4 Spectrum Sharing
63 4.1 Introduction 63 4.2 Literature Overview 64 4.2.1 Spectrum Sharing
from a Game Theoretic Perspective 66 4.2.2 Femtocells 67 4.3 Spectrum
Sharing with Game Theory 68 4.3.1 Noncooperative Case 68 4.3.2 Hierarchical
Case 69 4.4 Spectrum Trading 70 4.4.1 Revenue and Cost Function for the
Offering Operator 73 4.4.2 Numerical Results 74 4.5 Femtocells and
Opportunistic Spectrum Usage 75 4.5.1 Femtocells and Standardization 77
4.5.2 Self-Organized Femtocells 79 4.5.3 Beacon-Based Femtocells 81 4.5.4
Femtocells with Intercell Interference Coordination 82 4.5.5 Femtocells
with Game Theory 83 4.6 Conclusion, Discussion and Future Research 84 4.6.1
Future Research 85 References 86 5 Multiuser MIMO Systems 89 5.1 MIMO
Fundamentals 89 5.1.1 System Model 91 5.1.2 Point-to-Point MIMO
Communications 92 5.1.3 Multiuser MIMO Communications 96 5.1.4 MIMO with
Interference 100 5.2 MIMO in LTE-Advanced and 802.16m 101 5.2.1
LTE-Advanced 102 5.2.2 WiMAX Evolution 104 5.3 Generic Linear Precoding
with CSIT 104 5.3.1 Transmitter-Receiver Design 105 5.3.2 Transceiver
Design with Interference Nulling 110 5.4 CSI Acquisition for Multiuser MIMO
112 5.4.1 Limited Feedback 112 5.4.2 CSI Sounding 113 5.5 Future Directions
of MIMO Techniques 114 References 115 6 Coordinated Multi Point (CoMP)
Systems 121 6.1 Overview of CoMP 121 6.1.1 CoMP Types 122 6.1.2
Architectures and Clustering 123 6.1.3 Theoretical Performance Limits and
Implementation Constraints 126 6.2 CoMP in the Standardization Bodies 129
6.2.1 Overview of CoMP Studies 129 6.2.2 Design Choices for a CoMP
Functionality 131 6.3 Generic System Model for Downlink CoMP 133 6.3.1 SINR
for Linear Transmissions 133 6.3.2 Compact Matricial Model 134 6.4 Joint
Processing Techniques 134 6.4.1 State of the Art 135 6.4.2 Potential of
Joint Processing 136 6.4.3 Dynamic Joint Processing 137 6.4.4 Uplink Joint
Processing 141 6.5 Coordinated Beamforming and Scheduling Techniques 142
6.5.1 State of the Art 142 6.5.2 Decentralized Coordinated Beamforming 143
6.5.3 Coordinated Scheduling via Worst Companion Reporting 145 6.6
Practical Implementation of CoMP in a Trial Environment 147 6.6.1 Setup and
Scenarios 149 6.6.2 Measurement Results 149 6.7 Future Directions 151
References 152 7 Relaying for IMT-Advanced 157 7.1 An Overview of Relaying
157 7.1.1 Relay Evolution 158 7.1.2 Relaying Deployment Scenarios 159 7.1.3
Relaying Protocol Strategies 160 7.1.4 Half Duplex and Full Duplex Relaying
162 7.1.5 Numerical Example 162 7.2 Relaying in the Standard Bodies 164
7.2.1 Relay Types in LTE-Advanced Rel-10 164 7.2.2 Relay Nodes in IEEE
802.16m 166 7.3 Comparison of Relaying and CoMP 166 7.3.1 Protocols and
Resource Management 167 7.3.2 Simulation Results 169 7.4 In-band RNs versus
Femtocells 171 7.5 Cooperative Relaying for Beyond IMT-Advanced 173 7.6
Relaying for beyond IMT-Advanced 176 7.6.1 Multihop RNs 176 7.6.2 Mobile
Relay 177 7.6.3 Network Coding 177 References 177 8 Network Coding in
Wireless Communications 181 8.1 An Overview of Network Coding 181 8.1.1
Historical Background 182 8.1.2 Types of Network Coding 183 8.1.3
Applications of Network Coding 183 8.2 Uplink Network Coding 188 8.2.1
Detection Strategies 188 8.2.2 User Grouping 190 8.2.3 Relay Selection 191
8.2.4 Performance 192 8.2.5 Integration in IMT-Advanced and Beyond 194 8.3
Nonbinary Network Coding 194 8.3.1 Nonbinary NC based on UE Cooperation 195
8.3.2 Nonbinary NC for Multiuser and Multirelay 196 8.3.3 Performance 197
8.3.4 Integration in IMT-Advanced and Beyond 198 8.4 Network Coding for
Broadcast and Multicast 199 8.4.1 Efficient Broadcast Network Coding Scheme
200 8.4.2 Performance 201 8.5 Conclusions and Future Directions 202
References 203 9 Device-to-Device Communication 207 9.1 Introduction 207
9.2 State of the Art 208 9.2.1 In Standards 208 9.2.2 In Literature 210 9.3
Device-to-Device Communication as Underlay to Cellular Networks 211 9.3.1
Session Setup 212 9.3.2 D2D Transmit Power 214 9.3.3 Multiantenna
Techniques 215 9.3.4 Radio Resource Management 220 9.4 Future Directions
225 References 228 10 The End-to-end Performance of LTE-Advanced 231 10.1
IMT-Advanced Evaluation: ITU Process, Scenarios and Requirements 231 10.1.1
ITU-R Process for IMT-Advanced 232 10.1.2 Evaluation Scenarios 234 10.1.3
Performance Requirements 235 10.2 Short Introduction to LTE-Advanced
Features 238 10.2.1 The WINNER+ Evaluation Group Assessment Approach 238
10.3 Performance of LTE-Advanced 239 10.3.1 3GPP Self-evaluation 239 10.3.2
Simulative Performance Assessment by WINNER+ 241 10.3.3 LTE-Advanced
Performance in the Rural Indian Open Area Scenario 243 10.4 Channel Model
Implementation and Calibration 243 10.4.1 IMT-Advanced Channel Model 243
10.4.2 Calibration of Large-Scale Parameters 246 10.4.3 Calibration of
Small-Scale Parameters 247 10.5 Simulator Calibration 248 10.6 Conclusion
and Outlook on the IMT-Advanced Process 249 References 250 11 Future
Directions 251 11.1 Radio Resource Allocation 252 11.2 Heterogeneous
Networks 252 11.3 MIMO and CoMP 253 11.4 Relaying and Network Coding 254
11.5 Device-to-Device Communications 254 11.6 Green and Energy Efficiency
255 References 256 Appendices 259 Appendix A Resource Allocation 261 A.1
Dynamic Resource Allocation 261 A.1.1 Utility Predictive Scheduler 261
A.1.2 Resource Allocation with Relays 261 A.2 Multiuser Resource Allocation
263 A.2.1 PHY/MAC Layer Model 263 A.2.2 APP Layer Model 263 A.2.3
Optimization Problem 264 A.2.4 Simulation Results 265 A.3 Busy Burst
Extended to MIMO 266 A.4 Efficient MBMS Transmission 267 A.4.1 Service
Operation 267 A.4.2 Frequency Division Multiplexing (FDM) Performance 268
Appendix B Spectrum Awareness 269 B.1 Spectrum Sensing 269 B.2 Geo-Location
Databases 270 B.3 Beacon Signaling 270 Appendix C CoordinatedMultiPoint
(CoMP) 271 C.1 Joint Processing Methods 271 C.1.1 Partial Joint Processing
271 C.1.2 Dynamic Base Station Clustering 271 C.2 Coordinated Beamforming
and Scheduling 273 C.2.1 Decentralized Coordinated Beamforming 273 C.2.2
Coordinated Scheduling via Worst Companion Reporting 276 C.3 Test-Bed:
Distributed Realtime Implementation 276 Appendix D Network Coding 281 D.1
Nonbinary NC based on UE Cooperation 281 D.2 Multiuser and Multirelay
Scenario 282 Appendix E LTE-Advanced Analytical Performance and Peak
Spectral Efficiency 285 E.1 Analytical and Inspection Performance
Assessment by WINNER+ 285 E.1.1 Analytical Evaluation 285 E.1.2 Inspection
286 E.2 Peak Spectral Efficiency Calculation 287 E.2.1 FDD Mode Downlink
Direction 287 E.2.2 FDD Mode Uplink Direction 288 E.2.3 TDD Mode Downlink
Direction 289 E.2.4 TDD Mode Uplink Direction 291 E.2.5 Comparison with
Self-Evaluation 292 References 292 Index 295