OFDM Concepts for Future Communication Systems

✍ Scribed by Rohling, Hermann(Editor)

• Publisher: Springer
• Year: 2011
• Tongue: English
• Leaves: 261
• Series: Signals and communication technology
• Category: Library

✦ Synopsis

(Preliminary): The Orthogonal Frequency Division Multiplexing (OFDM) digital transmission technique has several advantages in broadcast and mobile communications applications. The main objective of this book is to give a good insight into these efforts, and provide the reader with a comprehensive overview of the scientific progress which was achieved in the last decade. Besides topics of the physical layer, such as coding, modulation and non-linearities, a special emphasis is put on system aspects and concepts, in particular regarding cellular networks and using multiple antenna techniques. The work extensively addresses challenges of link adaptation, adaptive resource allocation and interference mitigation in such systems. Moreover, the domain of cross-layer design, i.e. the combination of physical layer aspects and issues of higher layers, are considered in detail. These results will facilitate and stimulate further innovation and development in the design of modern communication systems, based on the powerful OFDM transmission technique.

✦ Table of Contents

2.1 Joint Space-Time-Frequency Representation......Page 2
4.2.2 System Model......Page 7
Cover......Page 1
6.1.2 Discrete MultiTone (DMT)......Page 5
4.2.4 Generic Model......Page 10
6.2 Optical OFDM Transmission and OpticalChannel Properties......Page 11
OFDM......Page 3
4.1.4 Computing the Channel Matrix G......Page 4
2.3 Stochastic Driving of Multi-Path Model......Page 6
5.1.4 Cross-Layer Adaptation......Page 12
6.3.4 Impulse Noise Detection and Cancellation......Page 15
6.3.5 Simulation Results......Page 16
1.2 Basics of the OFDM Transmission Technique......Page 17
6.4.1 Setup......Page 19
6.4.2 Noise Variance Estimation......Page 20
1.3 OFDM Combined with Multiple AccessSchemes......Page 22
Bibliography......Page 23
6.5 Forward Error Correction......Page 24
6.5.1 BICM-ID System Model......Page 25
2.1 Joint Space-Time-Frequency Representation......Page 27
2.1.1 Multidimensional Channel Sounding......Page 28
2.2 Deterministic Modeling......Page 29
2.2.2 Vechicle2X Channel Modeling......Page 30
Bibliography......Page 34
Bibliography......Page 37
5.4.3 Significant CSI Selection Algorithm and ChannelMatrix Formalism......Page 39
4.9.2 System Model......Page 42
3.1.1 Introduction......Page 43
Other References:......Page 45
3.1.3 Joint Data Detection and Channel Estimation......Page 49
4.10.3 The Radar Subsystem......Page 50
4.10.4 Measurements......Page 52
Bibliography......Page 53
Bibliography......Page 54
Bibliography......Page 55
3.2.2 MC-CDM and MC-CAFS......Page 58
3.2.3 Simulation Results......Page 59
3.7.3 Bit Loading Algorithm......Page 60
Bibliography......Page 62
3.3.1 Introduction......Page 64
3.3.2 Turbo Diversity......Page 65
3.3.3 Optimization for Turbo Diversity......Page 66
3.3.4 Performance Evaluation......Page 67
Bibliography......Page 70
3.4.1 Introduction......Page 71
3.8.6 Summary......Page 73
Bibliography......Page 74
Contents......Page 8
1.1 Radio Channel Behavior......Page 14
4.4.3 Rate Allocation using EXIT Charts......Page 21
2.3.1 Usage of the Large-Scale Parameters for Channel Characterization......Page 32
2.3.3 Cooperative Downlink......Page 35
5.4.2 System Model and Reference Scenario......Page 36
4.8.2 MAC Frame for SDMA Operation and SpatialGrouping......Page 38
5.4.4 Decentralized JD/JT with Significant CSI for Interference Reduction......Page 41
5.4.5 Impact of Imperfect CSI on CooperativeCommunication Based on JD/JT......Page 44
5.4.6 Advanced Algorithm Based on Statistical Knowledgeof Imperfect CSI......Page 46
Bibliography......Page 48
5.2.3 System Concept......Page 18
2 Channel Modeling......Page 26
5.4.8 Outlook......Page 47
1 Introduction......Page 13
2.3 Stochastic Driving of Multi-Path Model......Page 31
3.2.1 Introduction......Page 57
3.2.4 Concluding Remarks......Page 61
3.3.5 Summary......Page 69
3.4.3 MMSE Turbo Equalization Principles......Page 72
3.4.4 Summary......Page 76
3.5.1 Introduction and Overview on PAR ReductionSchemes......Page 79
3.5.2 PAR Reduction Schemes for MIMO Transmission......Page 81
3.5.4 Summary......Page 84
Bibliography......Page 85
Other References:......Page 87
3.6.2 Point-to-Point MIMO Transmission......Page 91
3.6.3 Up- and Downlink Scenarios in MultiuserTransmission......Page 92
3.6.4 Aspects of Channel Coding......Page 94
3.6.5 Summary......Page 95
Bibliography......Page 96
Other References:......Page 97
3.7.1 Introduction......Page 100
3.7.2 System Model......Page 101
3.7.3 Bit Loading Algorithm......Page 102
3.7.4 Results......Page 104
3.7.5 Summary......Page 106
Bibliography......Page 107
3.8.1 Introduction......Page 108
3.8.3 Adaptive MIMO Transmission......Page 109
3.8.4 Signaling of the Bit Allocation Table......Page 112
3.8.5 Automatic Modulation Classification......Page 113
3.8.6 Summary......Page 115
Bibliography......Page 116
4.1.1 Introduction......Page 118
4.1.3 Common Channel Operator Models......Page 120
4.1.4 Computing the Channel Matrix G......Page 121
Bibliography......Page 122
4.2.1 Introduction......Page 124
4.2.3 Performance Analysis......Page 125
4.2.4 Generic Model......Page 127
4.2.5 Summary and Further Work......Page 129
4.3.2 Resource Allocation Algorithms......Page 131
Bibliography......Page 134
4.4.2 Turbo Equalization......Page 137
4.4.3 Rate Allocation using EXIT Charts......Page 138
4.4.4 Summary......Page 140
4.5 Coexistence of Systems......Page 142
Bibliography......Page 144
4.6.1 Multicarrier Systems for Rapidly Moving Receivers......Page 145
4.6.2 Highly Mobile MIMO-OFDM-Transmission inRealistic Propagation Scenarios......Page 147
Bibliography......Page 149
4.7.1 Introduction......Page 151
4.7.3 Numerical Results......Page 152
Bibliography......Page 153
4.8.1 Abstract......Page 155
4.8.3 Hardware Implementation of COFDM Systems withMultiple Antennas......Page 156
Bibliography......Page 158
4.9.1 Introduction......Page 159
4.9.3 Description of Algorithms......Page 160
4.9.4 Approximation of the Ergodic Sum Rate with Large System Analysis......Page 161
Bibliography......Page 163
4.10.1 Introduction......Page 165
4.10.3 The Radar Subsystem......Page 167
4.10.4 Measurements......Page 169
Bibliography......Page 172
5.1.1 Motivation......Page 174
5.1.3 Adaptation of Physical Link Parameters......Page 178
5.1.4 Cross-Layer Adaptation......Page 185
Bibliography......Page 187
5.2.1 Introduction......Page 189
5.2.2 Beamforming Concepts......Page 190
5.2.3 System Concept......Page 191
5.2.4 Summary......Page 199
5.3.1 Introduction......Page 201
5.3.3 Distributed Interference Pricing......Page 202
5.3.4 MIMO Interference Networks and Interference Alignment......Page 205
5.3.5 Summary......Page 207
5.4.1 Introduction......Page 208
5.4.2 System Model and Reference Scenario......Page 209
5.4.3 Significant CSI Selection Algorithm and ChannelMatrix Formalism......Page 212
5.4.4 Decentralized JD/JT with Significant CSI for Interference Reduction......Page 214
5.4.5 Impact of Imperfect CSI on CooperativeCommunication Based on JD/JT......Page 217
5.4.6 Advanced Algorithm Based on Statistical Knowledgeof Imperfect CSI......Page 219
5.4.8 Outlook......Page 220
Bibliography......Page 221
6.1.1 Properties of the Twisted-Pair Channel......Page 224
6.1.2 Discrete MultiTone (DMT)......Page 228
6.2 Optical OFDM Transmission and OpticalChannel Properties......Page 234
6.3.1 Common Mode and Differential Mode......Page 236
6.3.4 Impulse Noise Detection and Cancellation......Page 238
6.3.5 Simulation Results......Page 239
6.4.1 Setup......Page 242
6.4.2 Noise Variance Estimation......Page 243
6.4.3 ADC/DAC Resolution......Page 246
6.5 Forward Error Correction......Page 247
6.5.1 BICM-ID System Model......Page 248
6.5.3 Simulations on the Performance of Coded OFDM......Page 250
6.6 Summary......Page 252
Bibliography......Page 253
Index......Page 259