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Cover image for Adaptive wireless transceivers : turbo-coded, turbo-equalized and space-time coded TDMA, CDMA, and OFDM systems
Title:
Adaptive wireless transceivers : turbo-coded, turbo-equalized and space-time coded TDMA, CDMA, and OFDM systems
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Publication Information:
New York : John Wiley & Sons, 2002
ISBN:
9780470846896
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30000010019864 TK6560 H36 2002 Open Access Book Book
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30000010019865 TK6560 H36 2002 Open Access Book Book
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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 Prologuep. 1
1.1 Motivation of the Bookp. 1
1.2 Adaptation Principlesp. 4
1.3 Channel Quality Metricsp. 5
1.4 Transceiver Parameter Adaptationp. 5
1.5 Milestones in Adaptive Modulation Historyp. 7
1.6 Outline of the bookp. 14
I Near-instantaneously Adaptive Modulation and Filtering Based Equalisationp. 19
2 Introduction To Equalizersp. 21
2.1 Coherent Demodulation of Square-QAMp. 23
2.2 Intersymbol Interferencep. 29
2.3 Basic Equalizer Theoryp. 29
2.4 Signal to Noise Ratio Loss of the DFEp. 40
2.5 Equalization in Multi-level Modemsp. 41
2.6 Review and Discussionp. 42
3 Adaptive Equalizationp. 45
3.1 Derivation of the Recursive Kalman Algorithmp. 46
3.2 Application of the Kalman Algorithmp. 54
3.3 Complexity Studyp. 71
3.4 Adaptive Equalization in Multilevel Modemsp. 72
3.5 Review and Discussionp. 77
4 Adaptive Modulationp. 81
4.1 Adaptive Modulation for Narrow-band Fading Channelsp. 81
4.2 Power Control Assisted Adaptive Modulationp. 86
4.3 Adaptive Modulation and Equalization in a Wideband Environmentp. 99
4.4 Review and Discussionp. 119
5 Turbo-Coded and Turbo-Equalised Adaptive Modulationp. 123
5.1 Turbo Codingp. 124
5.2 System Parametersp. 127
5.3 Turbo Block Coding Performance of the Fixed QAM Modesp. 128
5.4 Fixed Coding Rate, Fixed Interleaver Size Turbo Coded AQAMp. 131
5.5 Fixed Coding Rate, Variable Interleaver Size Turbo Coded AQAMp. 135
5.6 Blind Modulation Detectionp. 139
5.7 Variable Coding Rate Turbo Block Coded Adaptive Modulationp. 146
5.8 Comparisons of the Turbo Block Coded AQAM Schemesp. 152
5.9 Turbo Convolutional Coded AQAM Schemesp. 161
5.10 Turbo Equalizationp. 165
5.11 Burst-by-Burst Adaptive Wideband Coded Modulationp. 173
5.12 Review and Discussionp. 186
6 Adaptive Modulation Mode Switching Optimizationp. 191
6.1 Introductionp. 191
6.2 Increasing the Average Transmit Power as a Fading Counter-Measurep. 192
6.3 System Descriptionp. 196
6.4 Optimum Switching Levelsp. 203
6.5 Results and Discussionsp. 221
6.6 Review and Discussionp. 254
7 Practical Considerations of Wideband AQAMp. 257
7.1 Impact of Error Propagationp. 257
7.2 Channel Quality Estimation Latencyp. 259
7.3 Effect of Co-channel Interference on AQAMp. 271
7.4 Review and Discussionp. 292
II Near-instantaneously Adaptive Modulation and Neural Network Based Equalisationp. 297
8 Neural Network Based Equalizationp. 299
8.1 Discrete Time Model for Channels Exhibiting Intersymbol Interferencep. 299
8.2 Equalization as a Classification Problemp. 300
8.3 Introduction to Neural Networksp. 305
8.4 Equalization Using Neural Networksp. 311
8.5 Multilayer Perceptron Based Equaliserp. 311
8.6 Polynomial Perceptron Based Equaliserp. 314
8.7 Radial Basis Function Networksp. 316
8.8 K-means Clustering Algorithmp. 329
8.9 Radial Basis Function Network Based Equalisersp. 330
8.10 Scalar Noise-free Channel Output Statesp. 340
8.11 Decision Feedback Assisted Radial Basis Function Network Equaliserp. 342
8.12 Simulation Resultsp. 354
8.13 Review and Discussionp. 382
9 RBF-Equalized Adaptive Modulationp. 385
9.1 Background to Adaptive Modulation in a Narrowband Fading Channelp. 386
9.2 Background on Adaptive Modulation in a Wideband Fading Channelp. 389
9.3 Brief Overview of Part I of the Bookp. 390
9.4 Joint Adaptive Modulation and RBF Based Equalizationp. 395
9.5 Performance of the AQAM RBF DFE Schemep. 410
9.6 Review and Discussionp. 414
10 RBF Equalization Using Turbo Codesp. 417
10.1 Introduction to Turbo Codesp. 417
10.2 Jacobian Logarithmic RBF Equalizerp. 419
10.3 System Overviewp. 423
10.4 Turbo-coded RBF-equalized M-QAM Performancep. 427
10.5 Channel Quality Measurep. 432
10.6 Turbo Coding and RBF Equalizer Assisted AQAMp. 433
10.7 Review and Discussionp. 452
11 RBF Turbo Equalizationp. 453
11.1 Introduction to Turbo equalizationp. 453
11.2 RBF Assisted Turbo equalizationp. 455
11.3 Comparison of the RBF and MAP Equaliserp. 457
11.4 Comparison of the Jacobian RBF and Log-MAP Equaliserp. 460
11.5 RBF Turbo Equaliser Performancep. 463
11.6 Reduced-complexity RBF Assisted Turbo equalizationp. 471
11.7 In-phase/Quadrature-phase Turbo equalizationp. 476
11.8 Turbo Equalized Convolutional and Space Time Trellis Codingp. 485
11.9 Review and Discussionp. 493
III Near-Instantaneously Adaptive CDMA and Adaptive Space-Time Coded OFDMp. 495
12 Burst-by-Burst Adaptive Multiuser Detection CDMAp. 497
12.1 Motivationp. 497
12.2 Multiuser Detectionp. 498
12.3 Multiuser Equaliser Conceptsp. 501
12.4 Adaptive CDMA Schemesp. 518
12.5 Burst-by-Burst AQAM/CDMAp. 521
12.6 Review and Discussionp. 533
13 Adaptive Multicarrier Modulationp. 535
13.1 Introductionp. 535
13.2 Orthogonal Frequency Division Multiplexingp. 536
13.3 OFDM Transmission over Frequency Selective Channelsp. 543
13.4 OFDM Performance with Frequency Errors and Timing Errorsp. 547
13.5 Synchronization Algorithmsp. 556
13.6 Adaptive OFDMp. 563
13.7 Pre--Equalizationp. 579
13.8 Review and Discussionp. 584
14 Space-Time Coding versus Adaptive Modulationp. 589
14.1 Introductionp. 589
14.2 Space-Time Trellis Codesp. 590
14.3 Space-Time Coded Transmission Over Wideband Channelsp. 594
14.4 Simulation Resultsp. 603
14.5 Space-Time Coded Adaptive Modulation for OFDMp. 626
14.6 Review and Discussionp. 635
15 Conclusions and Suggestions for Further Researchp. 639
15.1 Book Summary and Conclusionsp. 639
15.2 Suggestions for Future Researchp. 649
15.3 Closing Remarksp. 651
A Appendicesp. 653
A.1 Turbo Decoding and Equalization Algorithmsp. 653
A.1.1 MAP Algorithmp. 653
A.1.2 The Log-MAP Algorithmp. 658
A.1.3 Calculation of the Source and Parity Log Likelihood Ratio for Turbo Equalizationp. 663
A.2 Least Mean Square Algorithmp. 666
A.3 Minimal Feedforward Order of the RBF DFE [Proof]p. 668
A.4 BER Analysis of Type-I Star-QAMp. 669
A.4.1 Coherent Detectionp. 670
A.5 Two-Dimensional Rake Receiverp. 679
A.5.1 System Modelp. 679
A.5.2 BER Analysis of Fixed-mode Square QAMp. 681
A.6 Mode Specific Average BEP of Adaptive Modulationp. 685
Bibliographyp. 687
Indexp. 713
Author Indexp. 723
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