|
|
Einrichtungen >> Technische Fakultät (TF) >> Department Elektrotechnik-Elektronik-Informationstechnik (EEI) >>
|
Lehrstuhl für Digitale Übertragung
| |
4G/5G Mobile Communication Systems [4G/5G MCS] -
- Dozent/in:
- Stefan Brück
- Angaben:
- Vorlesung, 2 SWS, benoteter Schein, ECTS: 2,5, nur Fachstudium, für FAU Scientia Gaststudierende zugelassen
- Termine:
- Fr, 8:30 - 10:00, 01.021
Einzeltermine am 10.6.2022, 17.6.2022, 8:30 - 11:45, 05.025
- Studienrichtungen / Studienfächer:
- WF WING-MA 1-4
WF ASC-MA 1-4
WF EEI-MA 1-4
WF CME-MA 1-4
WF CE-MA 1-4
WF ICT-MA 1-4
WF WING-MA-ET-IT 1-4
|
| |
Advanced Communication Networks [ACN] -
- Dozent/in:
- Laura Cottatellucci
- Angaben:
- Vorlesung, 3,5 SWS, ECTS: 5, nur Fachstudium
- Termine:
- Di, 14:15 - 15:45, 01.021
Mi, 10:15 - 11:45, 01.021
- Studienrichtungen / Studienfächer:
- WPF ASC-MA 1-4
WF CME-MA 1-4
WPF CME-MA 1-4
WF EEI-MA 1-4
WPF ICT-MA-MPS 1-4
WPF ICT-MA-NDC 1-4
- Inhalt:
- Telecommunications have become ubiquitous in daily life and wireless networks play a fundamental role thanks to their capability to support mobility. In a wireless medium the concept of link does not exist. The users radiate energy and communicate through the superposition of each other’s transmissions creating interference. Compared to wireline networks this scenario is extremely challenging but also offers unpredictable opportunities for the development of new technologies, e.g., massive MIMO, cognitive radio, and exploitation of new features, e.g., opportunistic communications, multiuser diversity, channel diversity. The exponentially increasing request of higher and higher throughput per unit area is satisfied densifying the networks and allowing more and more interference but adopting advanced techniques and innovative resource allocation to mitigate its detrimental effects.
Objective of this course is to introduce the student to advanced techniques for medium access control, coordinated or contention based, and radio resource management in both cellular systems and mesh or ad-hoc networks. Power allocation, rate adaptation and scheduling will be discussed both in centralized and distributed settings. Some mathematical methods play a fundamental role in resource allocation, namely, classical Perron-Frobenius theory for nonnegative matrices, convex and nonconvex constrained optimization, distributed optimization and game theory. The course introduces the student to such methods and exemplifies their application to various resource allocation problems. Additionally, the course addresses relevant aspects of resource allocation in wireless networks such as fairness and cross-layer design.
|
| |
Channel Coding [ChCo] -
- Dozent/in:
- Clemens Stierstorfer
- Angaben:
- Vorlesung mit Übung, 4 SWS, ECTS: 5, nur Fachstudium
- Termine:
- Mo, 10:15 - 11:45, 01.021
Mi, 12:15 - 13:45, 01.021
- Studienrichtungen / Studienfächer:
- WF ASC-MA 1-4
WF CE-MA-TA-IT 1
WF CME-MA 1-4
WPF IuK-MA-MMS-EEI 1-3
WPF IuK-MA-KN-EEI 1-3
WPF IuK-MA-REA-EEI 1-3
WPF IuK-MA-ÜTMK-EEI 1-3
WPF ICT-MA-MPS 1-4
WPF ICT-MA-NDC 1-4
WPF MT-MA-BDV 1-2
WPF WING-MA-ET-IT 1-3
WPF WING-MA 1-3
WPF BPT-MA-E 1-3
WF ASC-MA 1-4
- Inhalt:
- 1 Introduction and Motivation
2 Fundamentals of Block Coding 3 Introduction to Finite Fields I 4 Linear Block Codes 5 Linear Cyclic Codes 6 Introduction to Finite Fields II 7 BCH and RS Codes 8 Convolutional Codes 9 Codes with Iterative Decoding
|
| |
Channel Coding on Graphs [ChCoGraph] -
- Dozent/in:
- Laura Cottatellucci
- Angaben:
- Vorlesung, 3,5 SWS, ECTS: 5
- Termine:
- Mi, 14:15 - 15:45, 01.021
Do, 10:15 - 11:45, 01.021
- Studienrichtungen / Studienfächer:
- WF WING-MA 1-4
WF ICT-MA 1-4
WPF ICT-MA-NDC 1-4
WF EEI-MA 1-4
WPF ASC-MA 1-4
WF CME-MA 1-4
WF WING-MA-ET-IT 1-4
- Inhalt:
- Description
In today's communications world, channel coding underlies the physical layer of all major communication systems. For example: algebraic block coding (Reed-Solomon codes) are used in the CD and DVD standards; trellis coded modulation is used in line modems; low-density parity check codes (LDPC) are used in satellite communications (DVB-S2 standard), LAN (10GBase-T Ethernet) and wireless LAN (Wi-Fi 802.11); turbo codes are implemented in 3G/4G mobile communications (e.g. in UMTS and LTE) and in (deep space) satellite communications. Recently, polar codes have been adopted for the eMBB (Enhanced Mobile Broadband) control channels for the 5G NR (5th Generation New Radio) interface.Objective of this course is to provide an introductory but thorough background on codes over graphs and covers both classical convolutional codes and the modern theory of random-like codes with iterative decoding. Namely, LDPCs (Low Density Parity Check Codes, Turbo Codes, and Polar Codes. Students will acquire the fundamental knowledge to design and analyze performance of channel codes on graphs, as well as implement the corresponding encoders and decoders. Technical Content
Role of channel coding in a communication system. Idealized channel models : the binary symmetric channel (BSC), the binary erasure channel (BEC), the constrained-input Gaussian channel. Some preliminary basic concepts from linear block codes: Parity Check, Hamming distance, weight enumerating functions, performance evaluations, and performance bounds. Factor graphs and belief propagation. Binary random-like codes: LDPC codes and message-passing decoding, threshold behaviour of message passing decoding: density evolution analysis. Design of LDPC ensembles. Polar Codes: Polarization, polar channel coding, performance, encoding and decoding. Binary convolutional codes : the algebraic structure, the dynamic structure, Viterbi decoding, performance analysis via weight enumerating function, the forward-backward BCJR algorithm. Other random-like codes: the Turbo Codes. Efficient decoding of Turbo Codes via forward-backward BCJR algorithm and interpretation via factor graphs. Performance analysis and exit charts.
|
| |
Compressive Sensing [CompSense] -
- Dozent/in:
- Ali Bereyhi
- Angaben:
- Vorlesung mit Übung, 4 SWS, ECTS: 5, nur Fachstudium
- Termine:
- Di, 14:15 - 15:45, 05.025
Mi, 16:15 - 17:45, 05.025
Einzeltermine am 20.5.2022, 16:15 - 17:45, 05.025
13.6.2022, 12:15 - 13:45, 05.025
- Studienrichtungen / Studienfächer:
- WF INF-BA ab 6
WF EEI-MA ab 1
WF EEI-BA ab 6
WF CE-MA ab 1
WF CME-MA ab 2
WF ICT-MA ab 1
WF ASC-MA ab 1
WF INF-MA ab 1
WF AI-MA ab 1
|
| |
Informationstheorie und Codierung [ITC] -
- Dozent/in:
- Ralf Müller
- Angaben:
- Vorlesung, 3 SWS, ECTS: 5, nur Fachstudium
- Termine:
- Do, 14:15 - 15:45, H6
Fr, 10:15 - 11:45, H6
- Studienrichtungen / Studienfächer:
- WF EEI-BA 5-6
PF EEI-MA-INT 1-4
PF CE-BA-TA-IT 5
WF CE-MA-TA-IT 1
PF EEI-BA-INT 5-6
WPF IuK-BA 5-6
PF IuK-MA-ÜTMK-EEI 1-4
WPF IuK-MA-ES-EEI 1-4
WPF IuK-MA-KN-EEI 1-4
WPF IuK-MA-MMS-EEI 1-4
WPF IuK-MA-REA-EEI 1-4
WPF ICT-MA-ES 1-4
PF ICT-MA-NDC 1-4
WPF ICT-MA-MPS 1-4
WPF WING-BA-IKS-ING-MG1 5-6
WPF WING-MA 1-4
WPF WING-BA-ET-IT 4-6
WPF WING-MA-ET-IT 1-4
PF CME-MA 1
PF ASC-MA 1
WPF MT-MA-BDV ab 1
- Inhalt:
- Introduction to coding and information theory (binomial distribution, (7,4)-Hamming code, parity-check matrix, generator matrix); Probability, entropy, and inference (entropy, conditional probability, Bayes’ law, likelihood, Jensen’s inequality); Inference (inverse probability, statistical inference); Source coding theorem (information content, typical sequences, Chebychev inequality, law of large numbers); Symbol codes (unique decidability, expected codeword length, prefix-free codes, Kraft inequality, Huffman coding); Stream codes (arithmetic coding, Lempel-Ziv coding, Burrows-Wheeler transform); Dependent random variables (mutual information, data processing lemma); Communication over a noisy channel (discrete memory-less channel, channel coding theorem, channel capacity); Noisy-channel coding theorem (jointly-typical sequences, proof of the channel coding theorem, proof of converse, symmetric channels); Gaussian channel (AWGN channel, multivariate Gaussian pdf, capacity of AWGN channel); Binary codes (minimum distance, perfect codes, why perfect codes are bad, why distance isn’t everything); Message passing (distributed counting, path counting, low-cost path, min-sum (=Viterbi) algorithm); Marginalization in graphs (factor graphs, sum-product algorithm); Low-density parity-check codes (density evolution, check node degree, regular vs. irregular codes, girth); Lossy source coding (transform coding and JPEG compression)
|
| |
Mobile Communications [MoCo] -
- Dozentinnen/Dozenten:
- Ralf Müller, Ali Bereyhi
- Angaben:
- Vorlesung, 3 SWS, benoteter Schein, ECTS: 5, nur Fachstudium
- Termine:
- Mo, 14:15 - 15:45, H6
Do, 12:15 - 13:45, H5
- Studienrichtungen / Studienfächer:
- WPF EEI-BA-INT 5-6
WPF EEI-MA-INT 1-4
WPF CE-MA-TA-IT ab 1
PF CME-MA 2
WPF WING-BA-IKS-ING-MG4 4-6
WPF WING-MA 1-3
WPF WING-MA-ET-IT 1-3
WPF WING-BA-ET-IT 4-6
PF IuK-MA-KN-EEI 1-4
PF IuK-MA-ÜTMK-EEI 1-4
WPF IuK-MA-MMS-EEI 1-4
WPF IuK-BA 5-6
PF ICT-MA-NDC 1-4
WPF ICT-MA-MPS 1-4
WPF BPT-MA-E 1-3
WPF ASC-MA 1-4
- Voraussetzungen / Organisatorisches:
- Theory of linear systems and signals (in particular Fourier transform), basics of digital (linear) modulation schemes (PSK, QAM) and corresponding pulse shapes (square-root cosine pulses), probability theory, basics of stochastic processes, in particular Gaussian processes. These topics are presented in the lectures "Communications" and "Signals and Systems".
- Inhalt:
- Learning target: To acquire theoretical and practical understanding of the physical layer of wireless communication systems with mobile users. Ability to design and assess transmission concepts for mobile communication systems.
Content: First, a survey of concepts of various mobile communication systems is given. The systems are classified according to different criteria. In the following, the principles of mobile communications are discussed, which are applicable to any wireless communication system. In particular, these are the mathematical description of time-variant radio channels using stochastic processes, diversity principles in order to combat fast fading, multiplexing schemes, duplexing schemes, modulation (e.g. Gaussian minimum-shift keying, GMSK), and channel coding with special consideration of the need for interleaving. Especially, the interaction of channel coding, interleaving and slow frequency hopping as applied in GSM as countermeasure against fast fading is analyzed. Receiver algorithms for channels with intersymbol interference are briefly addressed. The cellular concept of large systems like GSM and UMTS is introduced.
- Empfohlene Literatur:
- Müller, R. & Koch, W.: Lecture script Fundamentals of Mobile Communications
For further reading:
[1] K.-D. Kammeyer: Nachrichtenübertragung, Vieweg+Teubner, 5. Auflage, 2011
[2] J.G. Proakis: Digital Communications, McGraw-Hill, 4th edition, 2001
[3] W.C. Jakes: Microwave Mobile Communications, Wiley-IEEE Press, 2nd rev. edition, 1994
[4] R. Vaughan and J. Bach Andersen: Channel, Propagation and Antennas for Mobile Communications, IEE, London, UK, 2003
[5] M. Mouly and M.-B. Paulet: The GSM System for Mobile Communications, Cell & SYS, France, 1992
[6] H. Holma and A. Toskala: WCDMA for UMTS: Radio Access for third generation mobile communications, Wiley, revised edition, 2001
[7] E. Dahlmann, S. Parkvall, J. Sköld, and P. Beming: 3G Evolution - HSPA and LTE for Mobile Broadband, 2nd edition, Elsevier, 2008
|
| |
Praktikum Mobilkommunikation [PrMoKo] -
- Dozentinnen/Dozenten:
- Wolfgang Gerstacker, Adela Vagollari, Yifei Wu
- Angaben:
- Praktikum, 3 SWS, Schein, ECTS: 2,5, nur Fachstudium
- Studienrichtungen / Studienfächer:
- WPF IuK-BA ab 6
WPF IuK-MA-KN-EEI 1-4
WPF IuK-MA-ÜTMK-EEI 1-4
WPF WING-BA-IKS-ING-P ab 6
WPF WING-MA 1-4
WPF WING-BA-ET-IT ab 6
WPF WING-MA-ET-IT 1-4
WF CE-MA-TA-IT 2-4
WPF EEI-BA-INT 5-6
WPF EEI-MA-INT 1-4
WPF CME-MA 1-4
WPF ASC-MA 1-4
WPF ME-MA-P-EEI 1-4
- Voraussetzungen / Organisatorisches:
- Basic knowledge in Communications and Signals and Systems
Participation in the module "Mobile Communications", which can be taken parallel to the lab course, is urgently required Basic knowledge of MATLAB
- Inhalt:
- Experiments:
0. Introduction to Matlab 1. Equalization I 2. Equalization II 3. Mobile Radio Channel I 4. Mobile Radio Channel II 5. OFDM 6. MIMO I (Conventional MIMO) 7. MIMO II (Massive MIMO)
- Empfohlene Literatur:
-
| | | | jede 2. Woche Di | 14:00 - 19:00 | 01.018 | |
Gerstacker, W.
Vagollari, A.
Wu, Y. | |
| | | jede 2. Woche Do | 14:00 - 19:00 | 01.018 | |
Gerstacker, W.
Vagollari, A.
Wu, Y. | |
| |
Seminar über Bachelor- und Masterarbeiten [SBM] -
- Dozentinnen/Dozenten:
- Robert Schober, Ralf Müller, Wolfgang Gerstacker, Clemens Stierstorfer, Herbert Haunstein, Johannes Huber, Laura Cottatellucci
- Angaben:
- Seminar, 2 SWS, nur Fachstudium
- Termine:
- Mo, 16:00 - 19:00, 05.025
|
| |
Transmission and Detection for Advanced Mobile Communications [TraMoCo] -
- Dozent/in:
- Wolfgang Gerstacker
- Angaben:
- Vorlesung, 2 SWS, benoteter Schein, ECTS: 2,5, nur Fachstudium, Hybrid (Online & In-Presence); details will be announced in StudOn, please register there in order to receive the most recent announcements.
- Termine:
- Do, 14:15 - 15:45, 05.025
- Studienrichtungen / Studienfächer:
- WPF EEI-MA-INT 1-4
WF CE-MA-TA-IT ab 1
WPF IuK-MA-KN-EEI 1-3
WPF IuK-MA-ÜTMK-EEI 1-3
WPF ICT-MA-NDC 1-4
WPF WING-MA 1-3
WPF WING-MA-ET-IT 1-3
WPF EEI-BA-INT 5-6
WPF CME-MA ab 2
WPF BPT-MA-E 1-3
WF ASC-MA 1-4
- Voraussetzungen / Organisatorisches:
- Systemtheorie, Nachrichtenübertragung
- Inhalt:
- The aim of this lecture is that the students acquire a basic knowledge of advanced transmission and detection techniques which are relevant to practical mobile communications systems. In the first part, it is shown how equalization schemes like decision-feedback equalization (DFE) and maximum-likelihood sequence estimation (MLSE) can be applied to the GSM/EDGE (Enhanced Data Rates for GSM Evolution) standard. Also, channel estimation for GSM/EDGE is covered. In GSM/EDGE, disturbance by interfering signals of other users is a further major problem. Therefore, interference cancellation algorithms are discussed in detail. The cases of several receive antennas and one receive antenna (single antenna interference cancellation) are distinguished. Several receive antennas can be also utilized for increasing the robustness against fading, applying diversity combination techniques. In the case of the availability of several
transmit antennas only, additional space-time coding has to be used for realization of diversity gains. These aspects are also discussed in depth. Furthermore, an introduction to code-division multiple access (CDMA) transmission is given and it is shown how CDMA is applied in the UMTS system. The lecture is concluded by an introduction to digital transmission in the Long Term Evolution (LTE) system.
- Empfohlene Literatur:
- Lecture notes
|
|
 |
|
|
UnivIS ist ein Produkt der Config eG, Buckenhof |
|
|