Subject description - B2M37KDKA
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Explanatory Notes
Instructions
| B2M37KDKA | Coding in digital communications | ||
|---|---|---|---|
| Roles: | PV | Extent of teaching: | 3P+1C |
| Department: | 13137 | Language of teaching: | CS |
| Guarantors: | Sýkora J. | Completion: | Z,ZK |
| Lecturers: | Sýkora J. | Credits: | 6 |
| Tutors: | Sýkora J. | Semester: | L |
Anotation:
This course extends and deepens the topics of the basic communication theory courses in the following main areas. 1) Advanced information theory in coding and Network Information Theory develop a framework for understanding the principles of the channel coding in single-user and multi-node/multi-user scenarios. 2) The algebraic coding presents classical topics of block and convolutional codes. 3) Advanced coding technique focuses on turbo, LDPC, Space-Time codes and Wireless Network Coding. 4) Advanced decoding technique, namely iterative and multi-user decoding is a fundamental tool for decoding capacity approaching channel codes.Course outlines:
| 1. | Advanced Information Theory in coding (coding theorem, feed-back, erasure, BSC, Outage Capacity) | |
| 2. | Network Information Theory (1/2) (Rate Regions, Advanced MU Sharing) | |
| 3. | Network Information Theory (2/2) (Rate Regions, Advanced MU Sharing) | |
| 4. | Algebraic coding (GF(M^m)) | |
| 5. | Block Codes (cyclic codes) | |
| 6. | Convolutional Codes (nonrecursive/recursive, polynomial formalism, General Transfer Function) | |
| 7. | Advanced Coding - Turbo-Codes | |
| 8. | Advanced Coding - LDPC | |
| 9. | Iterative Decoding (Soft-In Soft-Out block, Forward-Backward algorithm) | |
| 10. | Iterative Processing on Factor Graph (FG Sum-Product algorithm) | |
| 11. | Space-Time Codes - design and performance criteria | |
| 12. | Space-Time Codes (Block STC, Trellis STC, Layered STC) | |
| 13. | Multi-User decoding | |
| 14. | Elements of Wireless Network Coding (WNC, NC) |
Exercises outline:
| 1. | Information theory and coding theorem in single user system | |
| 2. | Information theory and coding theorem in multi user system | |
| 3. | Adaptive systems | |
| 4. | Space-time MIMO systems | |
| 5. | Advanced algorithms for block and convolutional coding | |
| 6. | Turbo and LDPC coding and iterative decoding | |
| 7. | Space-time coding |
Literature:
| 1. | T. M. Cover, J. A. Thomas: Elements of Information Theory, John Wiley &Sons, ed.2, 2006 | |
| 2. | J. G. Proakis: Digital Communications. McGraw-Hill. 2001 | |
| 3. | Goldsmith: Wireless communications, Cambridge University Press, 2005 |
Requirements:
Keywords:
information theory in coding, multiuser networks, advanced coding and decoding, space-time coding and MIMO systems Subject is included into these academic programs:| Program | Branch | Role | Recommended semester |
| MPEK6_2018 | Mobile Communications | PV | 2 |
| MPEK8_2021 | Communication and information processing | PV | 2 |
| MPEK7_2018 | Radio Communications and Systems | PV | 2 |
| MPEK4_2018 | Technology of the Internet of Things | PV | 2 |
| Page updated 17.1.2025 07:51:06, semester: Z,L/2024-5, Z/2025-6, Send comments about the content to the Administrators of the Academic Programs | Proposal and Realization: I. Halaška (K336), J. Novák (K336) |