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Critical coding techniques have developed over the past few decades for data storage, retrieval and transmission systems, significantly mitigating costs for governments and corporations that maintain server systems containing large amounts of data. This book surveys the basic ideas of these coding techniques, which tend not to be covered in the graduate curricula, including pointers to further reading. Written in an informal style, it avoids detailed coverage of proofs, making it an ideal refresher or brief introduction for students and researchers in academia and industry who may not have the time to commit to understanding them deeply. Topics covered include fountain codes designed for large file downloads; LDPC and polar codes for error correction; network, rank metric, and subspace codes for the transmission of data through networks; post-quantum computing; and quantum error correction. Readers are assumed to have taken basic courses on algebraic coding and information theory.
Chapter 5 treats the fundamentals of small-scale fading and the propagation mechanisms that cause multipath, doppler spread, time dispersion, and distortions to transmitted signals in the radio propagation channel. Detailed theoretical derivations and explanations for the small-scale channel impairments are presented with numerous examples. Flat and frequency selective fading, as well as fast and slow fading, are defined and analyzed. Key distributions found in the real world, such as Raleigh fading, Rician fading, and the classical Clarke and Gans model for multipath, are presented. Shape factor theory shows how the classical small-scale fading results may be replicated with excellent accuracy using the first thee Fourier coefficients of the spatial distribution of energy arriving at an antenna.
Chapter 8 presents the fundamentals of speech coding by first considering quantization of an analog voice signal.The time and frequency domain properties of speech are considered, leading to the various forms of speech coding that are used in wireless communication systems.Adaptive Differential Pulse Code Modulation (ADPCM) is presented and explained, along with frequency domain speech coding methods such as sub-band coding (SBC) and adaptive transform coding (ATC).A wide range of vocoders and linear predictive coders (LPC) are presented, along with structures and approaches used in practice. The chapter concludes with a number of technical considerations used to select a particular speech coder, and studies the speech coders used in the 2G global standards in Europe (GSM) and North America (USDC and CDMA).
Chapter 11 contains a detailed description of each of the world's most popular analog and digital cellular telephone standards, as well as the most popular digital cordless telephone standards. Treatment includes the first analog mobile telephone standards that were implemented in the United States and Europe, and all of the second-generation (2G) cellphone standards deployed around the world. The most popular digital cordless telephone standards are also presented, as it is useful to see how the concepts taught in all of the earlier chapters of this textbook were implemented in very successful, large-scale commmercial deployments. The evolution of the cellular industry is clearly seen by studying the various standardspresented in this chapter, allowing the reader to understand the design decisions and approaches that are adapted to increase the capacity and reliability of wireless communications. Standards covered in this chapter include AMPS, NAMPS, ETACS, USDC, PDC, GSM,Qualcomm's CDMA IS-95, IS-54, IS-136, DECT, CT2, PACS, PHS, and wireless television.
Chapter 7 provides fundamental treatment of channel equalization, antenna diversity combining methodologies, and error correction/control codes used in modern wireless communication systems. Both linear and non-linear equalizers are presented, along with the most popular feedback algorithms for equalizer training and practical operation, such as zero-forcing (ZF), least mean squares (LMS), and recursive least squares (RLS). These algorithms are applied to the Decision Feedback Equalizer (DFE) and the Maximum Likelihood Sequence Estimation (MLSE) equalizer structure.Antenna diversity combining methodsfor Rayleigh small-scale fading channels show the theoretical increase in signal-to-noise ratio (SNR) for a wide range of antenna combining and diversity methods used in today's wireless systems. The RAKE receiver for Code Division Multiple Access and spread spectrum is also studied. Finally, practical error control codes, such as block codes and convolutional codes, used in today's cellphone and wi-fi standards are presented and analyzed, along with interleaving methods and popular decoding algorithms such as the Viterbi algorithm. Trellis codes and turbo codes are presented, as well.