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Summary
Summary
Adaptive Wireless Transceivers provides the reader with abroad overview of near-instantaneously adaptive transceivers in thecontext of TDMA, CDMA and OFDM systems. The adaptive transceiversexamined employ powerful turbo codecs, turbo equalisers andspace-time codecs, equipping the reader with a future-prooftechnological road map. It demonstrates that adaptive transceiversare capable of mitigating the channel quality fluctuations of thewireless channel as a lower-complexity alternative to space-timecoding. By contrast, if the higher complexity of multipletransmitters and multiple receiver-assisted systems is deemedacceptable, the advantages of adaptability erode.
* Provides an in-depth introduction to channel equalisers andKalman filtering and discusses the associated complexity versusperformance trade-offs
* Introduces wideband near-instantaneously adaptive transceiversand studies their performance both with and without turbo channelcoding
* Describes how to optimise adaptive modulation mode switchingand highlights a range of practical considerations
* Introduces neural network based channel equalisers anddiscusses Radial Basis Function (RBF) assisted equalisers embeddedinto adaptive modems supported by turbo channel coding and turbochannel equalisation
* Employs the above adaptive principles also in the context ofCDMA and OFDM transceivers and discusses the pros and cons ofspace-time coding versus adaptive modulation
Researchers, advanced students and practising development engineersworking in wireless communications will all find this valuable textan informative read.
Author Notes
Lajos Hanzo received his degree in electronics in 1976 and his doctorate in 1983. During his 25-year career in telecommunications he has held various research and academic posts in Hungary, Germany and the UK. Since 1986 he has been with the Department of Electronics and Computer Science, University of Southampton, UK, where he holds the chair in telecommunications. He has co-authored eight books on mobile radio communications, published over 300 research papers, organised and chaired conference sessions, presented overview lectures and been awarded a number of distinctions. Currently he is managing an academic research team, working on a range of research projects in the field of wireless multimedia communications sponsored by industry, the Engineering and Physical Sciences Research Council UK, the European IST Programme and the Mobile Virtual Centre of Excellence, UK. He is an enthusiastic supporter of industrial and academic liaison and he offers a range of industrial courses. He is also an IEEE Distinguished Lecturer. For further information on research in progress and associated publications please refer to http://www-mobile.ecs.soton.ac.uk.
Table of Contents
1 Prologue | p. 1 |
1.1 Motivation of the Book | p. 1 |
1.2 Adaptation Principles | p. 4 |
1.3 Channel Quality Metrics | p. 5 |
1.4 Transceiver Parameter Adaptation | p. 5 |
1.5 Milestones in Adaptive Modulation History | p. 7 |
1.6 Outline of the book | p. 14 |
I Near-instantaneously Adaptive Modulation and Filtering Based Equalisation | p. 19 |
2 Introduction To Equalizers | p. 21 |
2.1 Coherent Demodulation of Square-QAM | p. 23 |
2.2 Intersymbol Interference | p. 29 |
2.3 Basic Equalizer Theory | p. 29 |
2.4 Signal to Noise Ratio Loss of the DFE | p. 40 |
2.5 Equalization in Multi-level Modems | p. 41 |
2.6 Review and Discussion | p. 42 |
3 Adaptive Equalization | p. 45 |
3.1 Derivation of the Recursive Kalman Algorithm | p. 46 |
3.2 Application of the Kalman Algorithm | p. 54 |
3.3 Complexity Study | p. 71 |
3.4 Adaptive Equalization in Multilevel Modems | p. 72 |
3.5 Review and Discussion | p. 77 |
4 Adaptive Modulation | p. 81 |
4.1 Adaptive Modulation for Narrow-band Fading Channels | p. 81 |
4.2 Power Control Assisted Adaptive Modulation | p. 86 |
4.3 Adaptive Modulation and Equalization in a Wideband Environment | p. 99 |
4.4 Review and Discussion | p. 119 |
5 Turbo-Coded and Turbo-Equalised Adaptive Modulation | p. 123 |
5.1 Turbo Coding | p. 124 |
5.2 System Parameters | p. 127 |
5.3 Turbo Block Coding Performance of the Fixed QAM Modes | p. 128 |
5.4 Fixed Coding Rate, Fixed Interleaver Size Turbo Coded AQAM | p. 131 |
5.5 Fixed Coding Rate, Variable Interleaver Size Turbo Coded AQAM | p. 135 |
5.6 Blind Modulation Detection | p. 139 |
5.7 Variable Coding Rate Turbo Block Coded Adaptive Modulation | p. 146 |
5.8 Comparisons of the Turbo Block Coded AQAM Schemes | p. 152 |
5.9 Turbo Convolutional Coded AQAM Schemes | p. 161 |
5.10 Turbo Equalization | p. 165 |
5.11 Burst-by-Burst Adaptive Wideband Coded Modulation | p. 173 |
5.12 Review and Discussion | p. 186 |
6 Adaptive Modulation Mode Switching Optimization | p. 191 |
6.1 Introduction | p. 191 |
6.2 Increasing the Average Transmit Power as a Fading Counter-Measure | p. 192 |
6.3 System Description | p. 196 |
6.4 Optimum Switching Levels | p. 203 |
6.5 Results and Discussions | p. 221 |
6.6 Review and Discussion | p. 254 |
7 Practical Considerations of Wideband AQAM | p. 257 |
7.1 Impact of Error Propagation | p. 257 |
7.2 Channel Quality Estimation Latency | p. 259 |
7.3 Effect of Co-channel Interference on AQAM | p. 271 |
7.4 Review and Discussion | p. 292 |
II Near-instantaneously Adaptive Modulation and Neural Network Based Equalisation | p. 297 |
8 Neural Network Based Equalization | p. 299 |
8.1 Discrete Time Model for Channels Exhibiting Intersymbol Interference | p. 299 |
8.2 Equalization as a Classification Problem | p. 300 |
8.3 Introduction to Neural Networks | p. 305 |
8.4 Equalization Using Neural Networks | p. 311 |
8.5 Multilayer Perceptron Based Equaliser | p. 311 |
8.6 Polynomial Perceptron Based Equaliser | p. 314 |
8.7 Radial Basis Function Networks | p. 316 |
8.8 K-means Clustering Algorithm | p. 329 |
8.9 Radial Basis Function Network Based Equalisers | p. 330 |
8.10 Scalar Noise-free Channel Output States | p. 340 |
8.11 Decision Feedback Assisted Radial Basis Function Network Equaliser | p. 342 |
8.12 Simulation Results | p. 354 |
8.13 Review and Discussion | p. 382 |
9 RBF-Equalized Adaptive Modulation | p. 385 |
9.1 Background to Adaptive Modulation in a Narrowband Fading Channel | p. 386 |
9.2 Background on Adaptive Modulation in a Wideband Fading Channel | p. 389 |
9.3 Brief Overview of Part I of the Book | p. 390 |
9.4 Joint Adaptive Modulation and RBF Based Equalization | p. 395 |
9.5 Performance of the AQAM RBF DFE Scheme | p. 410 |
9.6 Review and Discussion | p. 414 |
10 RBF Equalization Using Turbo Codes | p. 417 |
10.1 Introduction to Turbo Codes | p. 417 |
10.2 Jacobian Logarithmic RBF Equalizer | p. 419 |
10.3 System Overview | p. 423 |
10.4 Turbo-coded RBF-equalized M-QAM Performance | p. 427 |
10.5 Channel Quality Measure | p. 432 |
10.6 Turbo Coding and RBF Equalizer Assisted AQAM | p. 433 |
10.7 Review and Discussion | p. 452 |
11 RBF Turbo Equalization | p. 453 |
11.1 Introduction to Turbo equalization | p. 453 |
11.2 RBF Assisted Turbo equalization | p. 455 |
11.3 Comparison of the RBF and MAP Equaliser | p. 457 |
11.4 Comparison of the Jacobian RBF and Log-MAP Equaliser | p. 460 |
11.5 RBF Turbo Equaliser Performance | p. 463 |
11.6 Reduced-complexity RBF Assisted Turbo equalization | p. 471 |
11.7 In-phase/Quadrature-phase Turbo equalization | p. 476 |
11.8 Turbo Equalized Convolutional and Space Time Trellis Coding | p. 485 |
11.9 Review and Discussion | p. 493 |
III Near-Instantaneously Adaptive CDMA and Adaptive Space-Time Coded OFDM | p. 495 |
12 Burst-by-Burst Adaptive Multiuser Detection CDMA | p. 497 |
12.1 Motivation | p. 497 |
12.2 Multiuser Detection | p. 498 |
12.3 Multiuser Equaliser Concepts | p. 501 |
12.4 Adaptive CDMA Schemes | p. 518 |
12.5 Burst-by-Burst AQAM/CDMA | p. 521 |
12.6 Review and Discussion | p. 533 |
13 Adaptive Multicarrier Modulation | p. 535 |
13.1 Introduction | p. 535 |
13.2 Orthogonal Frequency Division Multiplexing | p. 536 |
13.3 OFDM Transmission over Frequency Selective Channels | p. 543 |
13.4 OFDM Performance with Frequency Errors and Timing Errors | p. 547 |
13.5 Synchronization Algorithms | p. 556 |
13.6 Adaptive OFDM | p. 563 |
13.7 Pre--Equalization | p. 579 |
13.8 Review and Discussion | p. 584 |
14 Space-Time Coding versus Adaptive Modulation | p. 589 |
14.1 Introduction | p. 589 |
14.2 Space-Time Trellis Codes | p. 590 |
14.3 Space-Time Coded Transmission Over Wideband Channels | p. 594 |
14.4 Simulation Results | p. 603 |
14.5 Space-Time Coded Adaptive Modulation for OFDM | p. 626 |
14.6 Review and Discussion | p. 635 |
15 Conclusions and Suggestions for Further Research | p. 639 |
15.1 Book Summary and Conclusions | p. 639 |
15.2 Suggestions for Future Research | p. 649 |
15.3 Closing Remarks | p. 651 |
A Appendices | p. 653 |
A.1 Turbo Decoding and Equalization Algorithms | p. 653 |
A.1.1 MAP Algorithm | p. 653 |
A.1.2 The Log-MAP Algorithm | p. 658 |
A.1.3 Calculation of the Source and Parity Log Likelihood Ratio for Turbo Equalization | p. 663 |
A.2 Least Mean Square Algorithm | p. 666 |
A.3 Minimal Feedforward Order of the RBF DFE [Proof] | p. 668 |
A.4 BER Analysis of Type-I Star-QAM | p. 669 |
A.4.1 Coherent Detection | p. 670 |
A.5 Two-Dimensional Rake Receiver | p. 679 |
A.5.1 System Model | p. 679 |
A.5.2 BER Analysis of Fixed-mode Square QAM | p. 681 |
A.6 Mode Specific Average BEP of Adaptive Modulation | p. 685 |
Bibliography | p. 687 |
Index | p. 713 |
Author Index | p. 723 |