Subject description - A2M37KDK
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Instructions
Web page:
https://moodle.fel.cvut.cz/courses/A2M37KDK
Anotation:
The course extends and deepens the topics of the basic DKM course in the following main areas. 1) The information theory builds a fundamental framework for thorough understanding the principles of the channel coding, adaptation, sharing, and diversity/multiplexing of the MIMO systems. 2) We develop advanced coding techique, particularly turbo-codes, LDPC codes and space-time codes for MIMO. 3) We explain essential principles of iterative decoding methods for turbo and LDPC codes.
Study targets:
Broadening knowledge on digital communication.
Course outlines:
| 1. | | Information theory, basic definitions, entropy, mutual information. |
| 2. | | Channel capacity (ergodic, nonergodic, discrete, AWGN, MIMO), coding theorems. |
| 3. | | Multiuser systems, MAC and BC channel, capacity region. Channel sharing CDMA, FDMA, TDMA, SDMA. Coding and decoding strategies for MAC and BC channels (DPC codes, MU decoding). |
| 4. | | Adaptive modulation and coding. Adaptation algorithms, capacity. |
| 5. | | Space-Time MIMO systems. Diversity, multiplexing gain, capacity. Sufficient statistic, MRC. |
| 6. | | Codes on the GF(m). Polynomial representation. Properties, structures. |
| 7. | | Coding/decoding algorithms for linear and cyclic codes (Hamming, BCH, RS, ...). Decoding error rate. |
| 8. | | Convolutional codes (recursive, nonrecursive). Properties, structures. Polynomial representation. Transfer function. |
| 9. | | Coding/decoding algorithms for convolutional codes. Decoding error rate. |
| 10. | | Constellation space codes. Trellis codes TCM. Differential codes. |
| 11. | | Turbo-codes, LDPC codes. Codes on graphs. |
| 12. | | Iterative decoding algorithms. FBA algorithm and Soft-In Soft-Out blocks. |
| 13. | | SPA algorithm on the Factor Graph. |
| 14. | | Space-Time codes for MIMO (block, trellis, layered). |
Exercises outline:
| 1. | | Capacity and capacity region evaluation for example channels. |
| 2. | | Implementation of the adaptive modulation and coding (water-filling). |
| 3. | | Implementation of the diversity reception with MRC. |
| 4. | | Transfer function of the FSM code. Free distance spectrum. |
| 5. | | Implementation of the turbo and LDPC code. |
| 6. | | Iterative decoder (FBA, SPA/FG). |
| 7. | | Evaluation of the projects. |
Literature:
| 1. | | J. G. Proakis: Digital Communications. McGraw-Hill. 2001 |
| 2. | | D. Tse, P. Viswanath: Fundamentals of Wireless Communications, Cambridge University Press, 2005 |
| 3. | | E. Biglieri: Coding for Wireless Channels, Springer, 2005 |
| 4. | | B. Vucetic, J. Yuan: Space-Time Coding, John Wiley & Sons, 2003 |
| 5. | | Goldsmith: Wireless communications, Cambridge University Press, 2005 |
| 6. | | B. Vucetic, J. Yuan: Turbo codes - principles and applications, Kluwer academic publishers, 2000 |
| 7. | | Oppermann I., Hamalainen M., Iinatti J.: UWB theory and applications, John Wiley & Sons, 2004 |
| 8. | | Meyr, H., Moeneclaey, M., Fechtel, S. A.: Digital Communication Receivers-Synchronization, Channel Estimation and Signal Processing. John Wiley. 1998 |
| 9. | | Mengali, U., D'Andrea, A. N.: Synchronization Techniques for Digital Receivers. Plenum Press. 1997 |
| 10. | | R. E. Blahut: Algebraic codes for data transmission, Cambridge University Press, 2006 |
| 11. | | T. M. Cover, J. A. Thomas: Elements of Information Theory, John Wiley & Sons, 1991 |
| 12. | | S. M. Kay: Fundamentals of statistical signal processing-estimation theory, Prentice-Hall 1993 |
| 13. | | S. M. Kay: Fundamentals of statistical signal processing-detection theory, Prentice-Hall 1998 |
Requirements:
see moodle.fel.cvut.cz
Keywords:
Coding, modulation, MIMO
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| Page updated 30.4.2025 17:53:34, semester: Z/2026-7, L/2025-6, L/2026-7, Z/2025-6, Z,L/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |