Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage die Hauptelemente von 3G / 4G und 5G Netzwerk zu benennen und deren Funktion zu erklären.
Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lagedie Interaktionen der Core und Radio Nodes dieser Netzwerke auf dem Signalisierungs Level zu beschreiben.
Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage die Optimierungen für die Übertragung von Videoströmen über mobile zellulare Netze zu verstehen und sein wissen an praktischen Beispielen zu demonstrieren.
The student will gain knowledge in 2G / 3G / 4G and 5G Core Networks, Software Defined Networks.
Specifically, a student shall be able to optimize traffic flows in mobile cellular networks. He can evaluate the interactions between nodes in the core of a mobile network (data/signaling level). The student knows and can analyze signaling procedures on radio and core links in mobile networks.
In the area of M2M, D2D, and LTE-M the student will learn to calculate the impact of massive M2M rollout in LTE networks. The student shall be able to use modulated Markov Processes for calculation of M2M traffic. The student shall be able to use source traffic models (Markov Chains, Heavy Tails, ...) to solve a certain problem. He can compare traffic models for SRD to mobile cellular networks and name the difference and impacts as well as compare traffic models for LRD to SDR. He can quantize the impact of heavy tails in mobile networks.
The student knows the differences between Passive / Active Performance Monitoring and can apply this knowledge to solve a given scenario. He can explain the Pro/Cons of Active/Passive Monitoring. He can implement the setup of a passive monitoring system for mobile cellular networks. The student shall be able to define an IP layer benchmarks in any reactive, e.g., mobile cellular networks and analyze comparable QoS, QoE and KPI elements of such a result. The student shall be able to identify the parts necessary for a Cross-Layer Optimization in a mobile cellular network. He can compare different approaches and explain the functions of each level.
The student can apply methods for Error Resilient Video Coding in mobile cellular networks.
In dieser Lehrveranstaltung werden die Grundlagen des Stoffes mittels Vorlesung vorgetragen.
Wir werden Methoden des Flipped Classrooms verwenden. Dabei werden die Studierenden mittels online Tools dazu gebracht aktive das erlernte Wissen einzusetzen.
In regelmäßigen Abschnitten werden wir Problemorientiertes Lernen an Hand von Beispielen aus der Praxis einfließen lassen.
First lecture: Tuesday, October 6, online in GoToMeeting Platform
https://www.gotomeet.me/MMB_TeamRoom/awc1
Lectures will be uploaded to TUWEL, there will be a monthly meetup to discuss the content and the information.
mündliche Prüfung (3 Fragen ~ 45min)
Hausübungen (optional, benoted)
Nicht erforderlich
Lectures:
–389.157 Wireless Communications 1 –389.163 Digital Communications 1 –389.166 Signal Processing 1 –389.158 Communication Networks 1
Basics:
Mobile Cellular network (basics): Core / Radio Access Internet: UDP, TCP, IP, … Services: eMail / HTTP / streaming (basics) Video: Video encoding and transmission
