Course: Teletraffic Engineering and Network Planning
Code: 3ФЕИТ10034
ECTS points: 6 ЕКТС
Number of classes per week: 3+0+0+3
Lecturer: Assoc. Prof. Dr. Vladimir Atanasovski
Course Goals (acquired competencies): Understanding advanced traffic concepts for next generation telecommunications networks. Dimensioning and planning telecommunications networks from a traffic viewpoint.
Course Syllabus: Necessary concepts from probability theory. Markov models. Regenerative processes. M/G/1 queue. Analysis of M/G/1-FIFO queue. Analysis with nested Markov model. Analysis of M/G/1-PS queue. Phase method. Analysis of M/G/1-LIFO queue. Priorities. Ideal serving discipline for M/G/1 queues. Application of queueing theory for performance analysis of telecommunications networks. Traffic matrices. Topologies. Routing principles. Approximative and exact methods for calculation. Load control and service protection. Moe’s principle. Multiservice queueing systems. Types. Networks of queues. Open networks. Jackson’s theorem. Closed networks. Traffic measurements. Continual and discrete measurements. Application of probability theory models and stochastic processes for analysis of measured traffic. Modelling Internet traffic. Standards and regulations for network planning. ITU recommendations for teletraffic engineering. Traffic predictions in real networks. Economy of telecommunications networks. Research challenges in the area.
Literature:
Required Literature |
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No. |
Author |
Title |
Publisher |
Year |
1 |
Villy Baek Iversen | Teletraffic Engineering and Network Planning | DTU Fotonik | 2015 |
2 |
Haruo Akimaru and Konosuke Kawashima | Teletraffic: Theory and Applications (Telecommunication Networks and Computer Systems) | Springer | 2011 |
3 |
David Everitt and Michael Rumsewicz | Multiaccess, Mobility and Teletraffic: Advances in Wireless Networks | Springer | 2012 |