Wireless Communications (EIM)

Christopher Knievel

Sep 1, 2022

Image credit pixabay.com

Students

have acquired a fundamental knowledge about key aspects of the physical layer of contemporary wireless communication systems.
design and analyse the signal processing applied in modern digital radio communication systems under different constraints

Students

will be able to understand the meaning or relevant features and aspects of mobile and wireless communication standards and make informed judgments about their suitability for different communication tasks.
will be able to evaluate overall system performance of communication systems.

Students

can evaluate solutions in highly complex environments
are able to acquire detailed knowledge for solving specific problems on their own
learn to discuss and derive solutions within a team

Introduction: History of wireless communications. From classical radio to modern cellular communication systems
Propagation, Antennas & Wireless Channels: From single antenna channels to multipath multi-antenna channel models, propagation models, path loss, multipath effects
Digital Modulation in the Baseband: Introduction of basic concepts. N-QAM and N-PSK modulation. Metrics and Limits of Modulation schemes
Multi-antenna Techniques (MIMO): Receive and transmit diversity. Beamforming, Detection
Multi-user Systems: OFDMA, CDMA, TDMA, SDMA
Cellular Systems: 5G and beyond, 5G key technologies
Current research topics: Terahertz signal transmission, AI core networking and network management

More information as well as lecture noted are available in the moodle course.

#	Name	Summary
1	Fading Channels	Single-antenna systems, path loss, shadowing
2	Multipath Channel Models	Doppler Shift, Rayleigh and Rician fading, Jakes model, WINNER Multipath channel models
3	Modulation	Common modulation formats e.g. ASK, PSK, QAM, average error probability, coherent and differential detection
4	Diversity	Multi-antenna setups, Diversity Combining, V-BLAST
5	Multicarrier Modulation	OFDM basics, OFDM transmitter and receiver, adaptive rate and power allocation
6	Channel Coding	Block Codes, convolutional codes
7	MIMO Systems and Detection	Maximum Likelihood detection, Linear Receivers, ZF and MMSE
9	MIMO Beamforming	Analog and digital beamforming, max-SNR MMSE beamforming
10	Multiuser Systems	Introduction of various multiplexing schemes such as CMDA, TDMA, SDMA, OFDMA
11	Cellular Systems	Introduction to cellular systems
12	5G and Beyond	5G key technologies, Massive MIMO, AI for Wireless Communications

For the majority of lab session, we will use Matlab and corresponding Matlab toolboxes.

#	Name	Summary
1	Channel Models	Impact of time-dispersive frequency-selective channels
2	Modulation and BER	Monte-Carlo simulation with higher-order modulation
3	Diversity and OFDM	MIMO-OFDM transmitter and receiver
4	Coded MIMO-OFDM	Convolutional channel code in combination with MIMO-OFDM