book

Wireless Communications

by Keith Q. T. Zhang

December 2015

Beginner

44 pages

15h 41m

English

Wiley

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1.1 Resources for wireless communications1.2 Shannon's theory1.3 Three challenges1.4 Digital modulation versus coding1.5 Philosophy to combat interference1.6 Evolution of processing strategy1.7 Philosophy to exploit two-dimensional random fields1.8 Cellular: Concept, Evolution, and 5G1.9 The structure of this book1.10 Repeatedly used abbreviations and math symbolsProblemsReferences
2.1 Introduction2.2 Congruence mapping and signal spaces2.3 Estimation methods2.4 Commonly used distributions in wireless2.5 The calculus of variations2.6 Two inequalities for optimization2.7 Q-function2.8 The CHF method and its skilful applications2.9 Matrix operations and differentiation2.10 Additional readingProblemsReferences
3.1 Introduction3.2 Large-scale propagation loss3.3 Lognormal shadowing3.4 Multipath characterization for local behavior3.5 Composite model to incorporate multipath and shadowing3.6 Example to illustrate the use of various models3.7 Generation of correlated fading channels3.8 Summary3.9 Additional readingProblemsReferences
4.1 Introduction4.2 Signals and signal space4.3 Optimal MAP and ML receivers4.4 Detection of two arbitrary waveforms4.5 MPSK4.6 -ary QAM4.7 Noncoherent scheme–differential MPSK4.8 MFSK4.9 Noncoherent MFSK4.10 Bit error probability versus symbol error probability4.11 Spectral efficiency4.12 Summary of symbol error probability for various schemes4.13 Additional readingProblemsReferences

5.1 Introduction5.2 MSK5.3 de Buda's approach5.4 Properties of MSK signals5.5 Understanding MSK5.6 Signal space5.7 MSK power spectrum5.8 Alternative scheme–differential encoder5.9 Transceivers for MSK signals5.10 Gaussian-shaped MSK5.11 Massey's approach to MSK5.12 SummaryProblemsReferences
6.1 Introduction and philosophical discussion6.2 Preliminary of Galois fields6.3 Linear block codes6.4 Cyclic codes6.5 Golay code6.6 BCH codes6.7 Convolutional codes6.8 Trellis-coded modulation6.9 SummaryProblemsReferences
7.1 Introduction7.2 Idea behind diversity7.3 Structures of various diversity combiners7.4 PDFs of output SNR7.5 Average SNR comparison for various schemes7.6 Methods for error performance analysis7.7 Error probability of MRC7.8 Error probability of EGC7.9 Average error performance of SC in Rayleigh fading7.10 Performance of diversity MDPSK systems7.11 Noncoherent MFSK with diversity reception7.12 SummaryProblemsReferences
8.1 Communication problem8.2 Traditional strategy8.3 Paradigm of orthogonality8.4 Turbo processing principleProblemsReferences
9.1 Introduction9.2 Pulse shaping for ISI-free transmission9.3 ISI and equalization strategies9.4 Zero-forcing equalizer9.5 MMSE linear equalizer9.6 Decision-feedback equalizer (DFE)9.7 SNR comparison and error performance9.8 An example9.9 Spectral factorization9.10 SummaryProblemsReferences
10.1 Introduction10.2 Channel matrix of ISI channels10.3 Idea of channel decomposition10.4 QR-decomposition-based Tomlinson–Harashima equalizer10.5 The GMD equalizer10.6 OFDM for time-invariant channel10.7 Cyclic prefix and circulant channel matrix10.8 OFDM receiver10.9 Channel estimation10.10 Coded OFDM10.11 Additional readingProblemsReferences
11.1 Introduction and philosophical discussion11.2 Two-device mechanism for iteration11.3 Turbo codes11.4 BCJR algorithm11.5 Turbo decoding11.6 Illustration of turbo-code performance11.7 Extrinsic information transfer (EXIT) charts11.8 Convergence and fixed points11.9 Statistics of LLRs11.10 Turbo equalization11.11 Turbo CDMA11.12 Turbo IDMA11.13 SummaryProblemsReferences
12.1 Introduction12.2 Typical MA schemes12.3 User space of multiple-access12.4 Capacity of multiple-access channels12.5 Achievable MI by various MA schemes12.6 CDMA-IS-9512.7 Processing gain of spreading spectrum12.8 IS-95 downlink receiver and performance12.9 IS-95 uplink receiver and performance12.10 3GPP-LTE uplink12.11 m-Sequences12.12 Walsh sequences12.13 CAZAC sequences for LTE-A12.14 Nonorthogonal MA schemes12.15 SummaryProblemsReferences
13.1 Introduction13.2 Signal model and mutual information13.3 Capacity with CSIT13.4 Ergodic capacity without CSIT13.5 Capacity: asymptotic results13.6 Optimal transceivers with CSIT13.7 Receivers without CSIT13.8 Optimal receiver13.9 Zero-forcing MIMO receiver13.10 MMSE receiver13.11 VBLAST13.12 Space–time block codes13.13 Alamouti codes13.14 General space–time codes13.15 Information lossless space–time codes13.16 Multiplexing gain versus diversity gain13.17 SummaryProblemsReferences
14.1 A historical review14.2 Relaying14.3 Cooperative communications14.4 Multiple-relay cooperation14.5 Two-way relaying14.6 Multi-cell MIMO14.7 SummaryProblemsReferences
15.1 Introduction15.2 Spectrum sensing for spectrum holes15.3 Matched filter versus energy detector15.4 Detection of random primary signals15.5 Detection without exact knowledge of 15.6 Cooperative spectrum sensing15.7 Standardization of CR networks15.8 Experimentation and commercialization of CR systemsProblemsReferences

Content preview from Wireless Communications

8Processing Strategies for Wireless Systems

Abstract

In this chapter, we examine the evolution of processing strategies used for wireless communications, aiming to seek their underlying thoughts that may ignite inspiration for the future.

In this chapter, we re-examine the philosophical issue of processing strategies for wireless communications initiated in Chapter 1. Various physical channels encountered in wireless communications are imperfect in the sense that they introduce additive noise, distortion, and interference, therefore requiring various signal processing strategies for remedy.

8.1 Communication problem

For exposition, let us start from a particular received signal model. Suppose that a unipolar information-bearing bit vector $c08-math-0001$ is coded, modulated, and precoded for transmission over a communication channel defined by matrix $c08-math-0002$ . Let $c08-math-0003$ , $c08-math-0004$ , $c08-math-0005$ , and $c08-math-0006$ denote the matrices for coding, interleaving, ...