Selected Topics in Wireless Communications and Networking SS2021

General Information:

First course of the module Modern Wireless Communications

-Place: online
-Time: Wednesday,16:15 – 17:45 (first lecture: on April, 14 2021)
-Lecturer: Dr. Zoran Utkovski
-Language: English

 

Learning Outcomes:

•Knowledge of some contemporary topics in wireless communications and networking
•Initial insights into the design of wireless communication networks in the context of the evolving fields of:
-Internet-of-Things
-Industry 4.0
-Intelligent transportation
-Smart grids
•Knowledge of how to use mathematical methods when designing modern wireless communications networks
•Understand complex interdependencies, which is essential for efficient design and operation of modern communication systems

Learning Content:

•Enabling technologies for massive connectivity and efficient spectrum utilization, including
•Massive MIMO systems
•Cloud-radio access networks (C-RANs)
•Tradeoffs between throughput, reliability and latency in emerging communication scenarios, including
•Massive machine-type communications (mMTC)
•Ultra-reliable low-latency communications (URLLC)
•Some concrete methods
•Bayesian inference, probabilistic learning, graphical models and algorithm design
•Common aspects of communication theory and computer science / analogies between the two
-Graphical models for channel coding / probabilistic learning
-Data compression (source coding) / clustering (unsupervised learning)

Literature:

•D. J. C. MacKay, “Information Theory, Inference and Learning Algorithms,” Cambridge University Press, 2003

•D. Tse and P. Wiswanath, “Fundamentals of Wireless Communication,” Cambridge University Press, 2005

•M. Wainwright and M. Jordan, “Graphical Models, Exponential Families, and Variational Inference,” Now Publishers, 2008

•E. Dahlman, S. Parkvall and J. Skold, “5G NR: The Next Generation Wireless Access Technology,” Elsevier, 2018