In English

EP2210 Prestandaanalys för kommunikationsnätverk 7,5 hp

Performance Analysis of Communication Networks

The course focuses on modelling and analyzing communication networks, network protocols and applications, using mathematical tools. It is designed for advanced undergraduates and graduate students.

  • Utbildningsnivå

    Avancerad nivå

  • Huvudområde

    Informations- och kommunikationsteknik
    Informationsteknik

  • Betygsskala

    A, B, C, D, E, FX, F

Kurstillfällen/kursomgångar

HT18 för programstuderande

Information för forskarstuderande om när kursen ges

Foskarstuderande ska anmäla sig till EP3210 Advanced Performance Analysis of Communication Networks 9.0 credits, som delvis ges tilsammans med EP2210.

Lärandemål

By the end of the course students will be able to construct tractable models of complex networking problems and attack performance problems with analytical methods or simulation. These abilities are necessary for everyone working on technical fields - to understand the capabilities of specific technologies and the success or failure of new trends.

Kursens huvudsakliga innehåll

The course consists of 24 hours of lectures, home assignments requiring roughly 20 and project work requiring 30 hours of work by each students.

The course addresses performance issues in current and future Internet architectures:

  • Multi-access communication: CSMA/CD - reservation techniques (token and polling) - packet radio networks (WLANs)
  • Routing in data networks: shortest path routing - optimal routing and topology design
  • Flow control (TCP)
  • Quality of service (QoS) in IP networks: requirements for multimedia transmission - network support: scheduling, shaping, forward error correction
  • Current research topics on network performance

Behörighet

För fristående kursstuderande: 120hp  samt engelska B eller motsvarande

Rekommenderade förkunskaper

EP2210 Queuing theory and teletraffic systems (or equivalent knowledge);
EP1100 Datacommunication and Computer Networks (or equivalent knowledge)

Litteratur

The course will be based on the book Data Networks by Dimitri Bertsekas and Robert Gallager, Prentice Hall, ISBN 0-13-200916-1 and on selected papers.

Examination

  • TEN1 - Tentamen, 4,5, betygsskala: A, B, C, D, E, FX, F
  • ÖVN1 - Övning, 3,0, betygsskala: P, F

Krav för slutbetyg

Assigned paper (TEN1, 3 credits) Home assignments (OVN, 2 credits).

Ges av

EECS/Kommunikation

Kontaktperson

Viktoria Fodor

Examinator

Viktoria Fodor <vjfodor@kth.se>

Övrig information

Ersätter 2E1624.

Versionsinformation

Kursplan gäller från och med VT2019.
Examinationsinformation gäller från och med VT2019.