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Course unit, curriculum year 2023–2024
COMM.NET.700
Network Analysis and Dimensioning, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Course code
COMM.NET.700Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Evgeny KucheryavyResponsible teacher:
Dmitri MoltchanovResponsible teacher:
Mikko ValkamaResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Electrical Engineering Studies 100 %
Core content
- Network simulation:
- basics of network simulations
- discrete event simulations;
- generating random numbers;
- data collection methods;
- variance reduction techniques - Introduction to network analysis:
Reminder of probability theory
Reminder of stochastic processes
Reminder of statistics
Reminder of special math techniques - Queuing theory:
- Arrival and service processes
- Little result
- Queuing systems of M/M/m/-/- type
- M/G/1 and G/M/1 queues
Complementary knowledge
- Specifics of simulating wireless systems
Simulating complex network typologies - Traffic properties in the Internet
Traffic properties in 4G cellular systems
Specialist knowledge
- Inverse tasks in network analysis
Traffic matrices
Network optimization problems - Types of traffic models
Parameterization of traffic models
Learning outcomes
Prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
Pass of examination is required
Completion of all options is required.
Participation in teaching
29.08.2023 – 11.12.2023
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)
31.08.2023 – 11.12.2023
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)