Advanced Communication Networks



Zeit/Ort n.V.:

  • Mi 12:15-13:45, Raum 01.021
  • Do 14:15-15:45, Raum 01.021

Studienfächer / Studienrichtungen

  • WPF ASC-MA ab Sem. 1
  • WF CME-MA ab Sem. 1
  • WPF CME-MA ab Sem. 1
  • WF EEI-MA ab Sem. 1
  • WPF ICT-MA-MPS ab Sem. 1
  • WPF ICT-MA-NDC ab Sem. 1


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.



Advanced Communication Networks



Zusätzliche Informationen

Erwartete Teilnehmerzahl: 30