Intendierte Lernergebnisse
Apply Poisson and exponential distributions to model network arrivals and delays.Analyze network delays and resource utilization.Model communication systems using Markov processes and queueing theory.Formulate and solve optimization problems in communication networks.Model wireless communication channels and analyze random access protocols.Apply course concepts to analyze and optimize state-of-the-art communication systems.
Lehrmethodik
Lectures with theoretical explanations and derivations.Problem-solving/exercise sessions.Case studies.Schedule:This course will consist in a total of 15 sessions. The initial schedule is as follows:- Tuesday 11th March 2025, 15:15-16:45 - Wednesday 12th March 2025, 10:00-11:30 - Tuesday 25th March 2025, 15:15-16:45 - Wednesday 26th March 2025, 10:00-11:30- Tuesday 01st April 2025, 15:15-16:45- Wednesday 02nd April 2025, 10:00-11:30- Tuesday 08th April 2025, 15:15-16:45- Wednesday 09th April 2025, 10:00-11:30- Tuesday 06th May 2025, 15:15-16:45- Wednesday 07th May 2025, 10:00-11:30- Tuesday 13th May 2025, 15:15-16:45- Tuesday 27th May 2025, 15:15-16:45- Wednesday 28th May 2025, 10:00-11:30- Wednesday 4th June 2025, 10:00-11:30- Tuesday 17th June 2025, 15:15-16:45
Inhalt/e
Probability review.Queueing networks.Poisson process.Markov chains.Queueing theory.Optimization for communication networks.Convex optimization.Linear and integer programming.Decentralized optimization.Random access networks.Wireless channels.Interference modeling.CSMA/CA and 802.11.Case studies: Selected topics in communication networks.
Erwartete Vorkenntnisse
Probability and StatisticsBasics knowledge of communication networks