Introduction to MATLAB and discussion of most important commands, simulation of a simple transmission chain, channel coding (convolutional codes), coding gain, channels with multipath propagation, models of fading channels and performance for binary transmission, Orthogonal Frequency-Division Multiplexing (OFDM), interleaving, implementation of an OFDM modem.




Analog modulation techniques, Amplitude Modulation (AM), Double Side Band Suppressed Carrier (DSBSC), Single Side Band (SSB), Frequency Modulation (FM), sampling theorem (sampling and reconstruction), Digital modulation techniques, Amplitude Shift Keying (ASK), Binary Phase Shift Keying (BPSK), Frequency Shift Keying (FSK), Signal constellation for M-QAM and M-PSK, Noisy channel model, Signal detection and Bit Error Rate (BER) measurement and eye pattern for noisy channel.


Elements of hypothesis testing, Signal detection, Bayesian parameter estimation, Maximum-likelihood estimation, Iterative schemes based on expectation-maximization algorithms, Signal estimation based on state-space models, Kalman-Bucy filtering, Orthogonality principle, Wiener-Kolmogorov filtering.

 

Short sequence of presentations giving an overview over existing existing MAC protocols in wireless communication systems as well as more topics on general description of MAC schemes:

  • Introduction to MAC Protocols for Wireless Systems: Challenges and Applications
  • Comparison of MAC Protocols in Wired and Wireless Systems: Differences and
  • Commonalities
  • Packet and Channel Based Multiple Access and Duplexing
  • MAC Schemes for Ad-Hoc Networks
  • Dual Busy Tone Multiple Access
  • Collision Management and Avoidance in Wireless MAC
  • Power Control for Centralized and Distributed MAC Protocols
  • Scheduling and Fairness
  • Distribution and Point Coordination Functions
  • Token Passing
  • MAC in RFID Systems

And we will also focus on MAC schemes for specific examples of wireless systems as:

  • MAC for Broadband MIMO Systems
  • MAC in Satellite Systems
  • MAC in WLANs IEEE 802.11
  • MAC Protocols for Multiple Antenna Networks
  • MAC in 3G Mobile Radio
  • MAC Protocols in 4G Long Term Evolution
  • MAC Protocols for Future 5G Networks 
  • MAC Protocols for Non-orthogonal Multiple Access (NOMA) 
  • MAC Protocols for Cognitive Radio Networks 
  • Cross-Layer Wireless Transmission: Challenges and Principles 
  • MAC Protocols for Enhancement the Reliability and QoS 
  • MAC Protocols for Vehicular Communications 

Digital Communications (Lab):

  1. Introduction to Digital Communications (Lab)
  2. Digital Communication Through Band-Limited Channels (Lab)


Signale und Systeme 

Diskrete Signale: Darstellung von Signalen mit Hilfe von Eigenfunktionen linearer zeitinvarianter Systeme

Z-Transformation und Fouriertransformation von Folgen

Poisson-Formel und DFT

Implementierung der DFT durch FFT, Radixverfahren

ev.: Erweiterung auf lineare zeitvariante Systeme

Analoge Signale: Darstellung von Signalen mit Hilfe von Eigenfunktionen linearer zeitinvarianter Systeme

Analytisches Signal

Fourier- und Laplacetransformationen: Rechenregeln, Einsatz in linearen Systemen (steady state, Einschaltvorgänge)

Berechnung mit diskreter Fouriertransformation

Fourierreihen, Klirrfaktor, Verzerrungsleistung, Spektraldarstellung

Stabilität, Kausalität, Passivität

Anwendungen: Zweitore, Filterentwurf, Übertragung von Signalen (AM, FM), Kirchhoff-Netze, Reziprozität, Satz von Tellegen, Transistorschaltungen

Digital Communications I 

Zufallsvariablen und stochastische Prozesse

Quellencodierung

Signaldarstellung im komplexen Basisband

Klassifizierung digital modulierter Signale

Übertragung über Kanäle mit additiver weißer normalverteilter Störung

Synchronisation, Kanalkapazität und Codierung

 


Carrier and symbol synchronization, Signal design for band-limited channels, Communication through band-limited linear filter channels, Inter-symbol interference, Adaptive equalization, Multicarrier communications.

Introduction to Digital CommunicationsFundamentals in probability Theory, Fourier transform, stochastic processes, sampling theorem (sampling and reconstruction), digital modulation techniques, communication signals and systems, characterization of thermal noise, signal space, signal detection and optimum receivers for the AWGN channel.


Zusatzübung zum Modul "Signalübertragung"