UnivIS
Informationssystem der Friedrich-Alexander-Universität Erlangen-Nürnberg © Config eG 
FAU Logo
  Sammlung/Stundenplan    Modulbelegung Home  |  Rechtliches  |  Kontakt  |  Hilfe    
Suche:      Semester:   
 
 Darstellung
 
Druckansicht

 
 
 Außerdem im UnivIS
 
Vorlesungs- und Modulverzeichnis nach Studiengängen

Vorlesungsverzeichnis

 
 
Veranstaltungskalender

Stellenangebote

Möbel-/Rechnerbörse

 
 
Advanced Signal Processing & Communications Engineering (Master of Science) >>

  Advanced Communication Networks (ACN)

Dozent/in
Prof. Dr. Laura Cottatellucci

Angaben
Vorlesung
Online
3,5 SWS, ECTS-Studium, ECTS-Credits: 5
nur Fachstudium, Sprache Englisch
Zeit: Mi 12:15 - 13:45, 01.021; Do 14:15 - 15:45, 01.021

Studienfächer / Studienrichtungen
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.

ECTS-Informationen:
Title:
Advanced Communication Networks

Credits: 5

Prerequisites
Digital Communications

Zusätzliche Informationen
Erwartete Teilnehmerzahl: 30, Maximale Teilnehmerzahl: 70
www: https://www.studon.fau.de/crs3686998.html
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt von Donnerstag, 1.4.2021, 00:00 Uhr bis Freitag, 16.7.2021, 12:00 Uhr über: StudOn.

Zugeordnete Lehrveranstaltungen
UE ([online]):Tutorial for Advanced Communication Networks
Dozent/in: Walid Ghanem, M. Sc.
Zeit:
www: https://www.studon.fau.de/crs3686998.html

Verwendung in folgenden UnivIS-Modulen
Startsemester SS 2021:
Advanced Communication Networks (ACN)

Institution: Lehrstuhl für Digitale Übertragung
UnivIS ist ein Produkt der Config eG, Buckenhof