Cover image for Bit-Interleaved Coded Modulation : Fundamentals, Analysis and Design.
Bit-Interleaved Coded Modulation : Fundamentals, Analysis and Design.
Title:
Bit-Interleaved Coded Modulation : Fundamentals, Analysis and Design.
Author:
Szczecinski, Leszek.
ISBN:
9781118694039
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (318 pages)
Series:
Wiley - IEEE
Contents:
Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Preface -- Acknowledgements -- Acronyms -- Chapter 1 Introduction -- 1.1 Coded Modulation -- 1.2 The Road Toward BICM -- 1.3 Why Everybody Loves BICM -- 1.4 Outline of the Contents -- References -- Chapter 2 Preliminaries -- 2.1 Notation Convention -- 2.2 Linear Modulation -- 2.3 Coded Modulation -- 2.3.1 Trellis-Coded Modulation -- 2.3.2 Multilevel Coding -- 2.3.3 Bit-Interleaved Coded Modulation -- 2.4 Channel Models -- 2.5 The Mapper -- 2.5.1 Constellation -- 2.5.2 Binary Labeling -- 2.5.3 Distribution and Shaping -- 2.6 Codes and Encoding -- 2.6.1 Convolutional Codes -- 2.6.2 Modeling the Code Bits in Convolutional Encoders -- 2.6.3 Turbo Codes -- 2.7 The Interleaver -- 2.8 Bibliographical Notes -- References -- Chapter 3 Decoding -- 3.1 Optimal Decoding -- 3.2 BICM Decoder -- 3.3 L-values -- 3.3.1 PDF of L-values for Binary Modulation -- 3.3.2 Fundamental Properties of the L-values -- 3.3.3 Approximations -- 3.4 Hard-Decision Decoding -- 3.5 Bibliographical Notes -- References -- Chapter 4 Information-Theoretic Elements -- 4.1 Mutual Information and Channel Capacity -- 4.2 Coded Modulation -- 4.2.1 CM Mutual Information -- 4.2.2 CM Capacity -- 4.3 Bit-Interleaved Coded Modulation -- 4.3.1 BICM Generalized Mutual Information -- 4.3.2 BICM Pseudo-Capacity -- 4.3.3 Useful Relationships -- 4.4 BICM, CM, and MLC: A Comparison -- 4.4.1 Achievable Rates -- 4.4.2 Robustness of the Encoding Scheme -- 4.5 Numerical Calculation of Mutual Information -- 4.6 Bibliographical Notes -- References -- Chapter 5 Probability Density Functions of L-values -- 5.1 Introduction and Motivation -- 5.1.1 BICM Channel -- 5.1.2 Case Study: PDF of L-values for 4PAM -- 5.1.3 Local Linearization -- 5.2 PDF of L-values for 1D Constellations.

5.3 PDF of L-values for 2D Constellations -- 5.3.1 Space Tessellation -- 5.3.2 Finding the PDF -- 5.3.3 Case Study: 8PSK Labeled by the BRGC -- 5.4 Fading Channels -- 5.5 Gaussian Approximations -- 5.5.1 Consistent Model -- 5.5.2 Zero-Crossing Model -- 5.5.3 Fading Channels -- 5.5.4 QAM and PSK Constellations -- 5.6 Bibliographical Notes -- References -- Chapter 6 Performance Evaluation -- 6.1 Uncoded Transmission -- 6.1.1 Decision Regions -- 6.1.2 Calculating the Transition Probability -- 6.1.3 Bounding Techniques -- 6.1.4 Fading Channels -- 6.2 Coded Transmission -- 6.2.1 PEP-Based Bounds -- 6.2.2 Expurgated Bounds -- 6.2.3 ML Decoder -- 6.2.4 BICM Decoder -- 6.2.5 BICM Decoder Revisited -- 6.3 PEP Evaluation -- 6.3.1 Numerical Integration -- 6.3.2 Saddlepoint Approximation -- 6.3.3 Chernoff Bound -- 6.3.4 Nonidentically Distributed L-values -- 6.4 Performance Evaluation of BICM via Gaussian Approximations -- 6.4.1 PEP Calculation using Gaussian Approximations -- 6.4.2 MPAM Constellations -- 6.4.3 MPSK Constellations -- 6.4.4 Case Study: BEP for Constellation Rearrangement -- 6.5 Bibliographical Notes -- References -- Chapter 7 Correction of L-values -- 7.1 Mismatched Decoding and Correction of L-values -- 7.2 Optimal Correction of L-values -- 7.2.1 GMI-Optimal Correction -- 7.2.2 PEP-Optimal Correction -- 7.3 Suboptimal Correction of L-values -- 7.3.1 Adaptation Strategies -- 7.3.2 Function Fitting -- 7.3.3 GMI-Optimal Linear Correction -- 7.3.4 PEP-Optimal Linear Correction -- 7.3.5 GMI- and PEP-Optimal Linear Corrections: A Comparison -- 7.3.6 Case Study: Correcting Interference Effects -- 7.4 Bibliographical Notes -- References -- Chapter 8 Interleaver Design -- 8.1 UEP in BICM and M-interleavers -- 8.1.1 Preserving UEP in BICM -- 8.1.2 The M-Interleaver -- 8.1.3 Modeling the M-Interleaver.

8.1.4 Performance Evaluation -- 8.2 Exploiting UEP in MPAM Constellations -- 8.2.1 The Generalized BICM Channel -- 8.2.2 Performance Evaluation -- 8.2.3 Joint Encoder and Interleaver Design -- 8.3 Bibliographical Notes -- References -- Chapter 9 BICM Receivers for Trellis Codes -- 9.1 BICM with Trivial Interleavers -- 9.1.1 PDF of the L-values in BICM-T -- 9.1.2 Performance Analysis -- 9.2 Code Design for BICM-T -- 9.2.1 Asymptotic Bounds -- 9.2.2 Optimal Encoders for BICM-T -- 9.2.3 BICM-T versus TCM -- 9.3 Equivalent Labelings for Trellis Encoders -- 9.3.1 Equivalent Trellis Encoders -- 9.3.2 Modified Full Linear Search Algorithm -- 9.3.3 NBC and BRGC -- 9.3.4 MPAM and MPSK Constellations -- 9.4 Bibliographical Notes -- References -- Index -- EULA.
Abstract:
Presenting a thorough overview of bit-interleaved coded modulation (BICM), this book introduces the tools for the analysis and design of BICM transceivers. It explains in details the functioning principles of BICM and proposes a refined probabilistic modeling of the reliability metrics-the so-called L-values-which are at the core of the BICM receivers.  Alternatives for transceiver design based on these models are then studied. Providing new insights into the analysis of BICM, this book is unique in its approach, providing a general framework for analysis and design, focusing on communication theoretic aspects of BICM transceivers. It adopts a tutorial approach, explains the problems in simple terms with the aid of multiple examples and case studies, and provides solutions using accessible mathematical tools. The book will be an excellent resource for researchers in academia and industry: graduate students, academics, development engineers, and R & D managers. Key Features: Presents an introduction to BICM, placing it in the context of other coded modulation schemes Offers explanations of the functioning principles and design alternatives Provides a unique approach, focusing on communication theory aspects Shows examples and case studies to illustrate analysis and design of BICM Adopts a tutorial approach, explaining the problems in simple terms and presenting solutions using accessible mathematical tools.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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