Download Error Control Coding for B3G/4G Wireless Systems: Paving the by Klaus David(eds.) PDF

By Klaus David(eds.)

Masking the short evolving zone of complex coding, Error regulate Coding for B3G/4G instant Systems objectives IMT-Advanced platforms to provide the newest findings and implementation strategies. The booklet starts off via detailing the basics of complex coding thoughts reminiscent of Coding, interpreting, layout, and Optimization. It offers not just state of the art learn findings in 3D Turbo-codes, non-binary LDPC Codes, Fountain, and Raptor codes, but additionally insights into their real-world implementation by way of reading structure strategies, for instance VLSI complexity, FPGA, and ASIC. moreover, certain consciousness is paid to Incremental redundancy recommendations, which represent a key function of instant Systems.

A promising software of those complicated coding ideas, the Turbo-principle (also often called iterative processing), is illustrated via an in-depth dialogue of Turbo-MIMO, Turbo-Equalization, and Turbo-Interleaving options. eventually, the publication offers the prestige of significant standardization actions at present imposing such concepts, with distinctive curiosity in 3GPP UMTS, LTE, WiMAX, IEEE 802.11n, DVB-RCS, DVB-S2, and IEEE 802.22. for that reason, the e-book coherently brings jointly educational and imaginative and prescient via offering readers with a uniquely complete view of the entire subject, while additionally giving an knowing of modern techniques.

  • Includes distinctive assurance of coding, deciphering, layout, and optimization techniques for complicated codes
  • Provides brand new study findings from either hugely reputed teachers and standpoints
  • Presents the most recent prestige of standardization actions for instant structures regarding complicated coding
  • Describes real-world implementation points by way of giving insights into structure strategies for either LDPC and Turbo-codes
  • Examines the main complex and promising techniques of turbo-processing purposes: Turbo-MIMO, Turbo-Equalization, Turbo-Interleaving

Chapter 1 Coding (pages 1–48): Gerhard Bauch, Claude Berrou, David Declercq, Alexandre Graell I Amat, Youssouf Ould?Cheikh?Mouhamedou, Yannick Saouter, Jossy Sayir and Marcos B. S. Tavares
Chapter 2 deciphering (pages 49–67): Moshe Ran, Carlos De Segovia and Omer Ran
Chapter three Incremental Redundancy for Coding (pages 69–111): Stefania Sesia and Charly Poulliat
Chapter four structure and standards (pages 113–188): Frank Kienle
Chapter five Turbo?Principle Extensions (pages 189–239): Isabelle Siaud, Ming Jiang, Anne?Marie Ulmer?Moll, Maryline Helard, Thierry Lestable and Carlos De Segovia
Chapter 6 Standardization (pages 241–255): Marie?Helene Hamon, Thierry Lestable and Isabelle Siaud

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Extra resources for Error Control Coding for B3G/4G Wireless Systems: Paving the Way to IMT-Advanced Standards

Example text

Consequently, RA codes have the highest decoding complexity of the three schemes. 5 Binary versus Nonbinary Binary LDPC codes can be generalized to nonbinary LDPC codes (NB-LDPC). The parity-check equations are written using symbols in the Galois field of order q, denoted GF(q), where q ¼ 2 is the particular binary case. The parity-check matrix defining the code has only a few nonzero coordinates, which belong to GF(q), and a single parity equation involving dc codeword symbols then has the form: dc X hji Á ci ¼ 0 ð1:8Þ i¼1 where {hji} are the nonzero values of the j-th row of H.

No flattening is observed at FER ¼ 10À5. 8 Conclusions In this section, a modified turbo code combining the features of parallel and serial concatenation in order to obtain increased Hamming minimum distances with respect to classical turbo codes has been discussed.

For example, the girth of a binary irregular LDPC code with length N ¼ 848 bits and rate R ¼ 1/2 is at most gb ¼ 6 for the good degree distributions, while the girth of a NB-LDPC code with the same parameters is gnb ¼ 14 when a good graph construction is used [HE04]. High-Order Modulation (M-QAM) For binary LDPC-coded modulations, the output of the Bayesian maximum a posteriori demapper gives correlated probability weights, which means that the initialization of the BP decoder will experience correlated messages even without any short cycles.

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