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Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course ETSN10F valid from Autumn 2018

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General
Aim
  • The course gives a deep understanding of the principles of network construction from a performance aspect. The course comprises two main components, investigation and dimensioning of networks through mathematical modelling and simulation as well as fundamental network architecture types. The course covers both public and local access network constructs such as 3G/LTE as well as WLAN, Ad-Hoc and Mesh networks, Internet of Things, etc. Furthermore, the course covers performance issues such as queuing behaviour, congestion control and performance engineering. The course covers both theoretical aspects through modelling as well as practical studies through a system design project.
Contents
  • The course gives a deep understanding of principles, functions and techniques that form the foundation of communication networks with an emphasis on wireless communication systems. In particular, the course covers these functions' behaviour and performance based on the stochastic nature of the data streams in modern communication networks.

    The course covers both public systems (3G, LTE) and technologies for wireless local networks (WLAN, Ad-Hoc, and mesh networks). The course gives an understanding of how these systems integrate more and more, advantages and disadvantages as well as problems and their solutions in connection with this integration. The courses also discusses current and future trends in network systems such as Internet of Things and Tactile Internet, and the enabling technologies being developed for them.

    The course structure contains lectures and exercises, as well as a lab on network simulation and data analysis. Further, students will complete a group-based system design project.

    The course is divided into the following modules:

    Review of probability, stochastic processes and basic computer networking
    Medium access control using reservation schemes and random access schemes
    Network architectures for licensed and ulicensed spectrum
    Modelling for performance analysis
    Traffic management: queueing systems and congestion and flow control
    The following systems and technologies are covered:

    WLANs
    Ad-hoc, mesh and sensor networks, and routing protocols designed for such networks, including geographic routing
    Internet of Things
    Cellular systems (GSM, UMTS, LTE and a discussion of 5G)
    MAC protocols: ALOHA, CSMA, 802.11 (WiFi), including the Bianchi model of 802.11
    Congestion and flow control techniques such as Random Early Detection, token bucket schemes
    Queueing disciplines such as priority queueing, weighted fair queueing, class based queueing
    TCP flow and congestion control and retransmission strategies
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Explain the operation of the network protocols and algorithms covered in the course
    Describe the different network architectures covered in the course
    Explain the network models covered in the course and describe key results drawn from them such as fundamental performance bounds
    Give reasons for the design choices made in existing network protocols, algorithms and architectures, with reference to system performance
    Describe current research problems and directions in networking
Competences and Skills
  • For a passing grade the doctoral student must
  • Choose appropriate protocols and algorithms for a given network system
    Create and analyse models of networks for the purpose of performance analysis
    Analyse network performance using theoretical tools covered in the course such as stochastic processes and queueing theory
    Perform statistical analysis on experimental or simulation data and draw conclusions about the performance of the system studied
    Design network systems from a specified scenario and performance goals
    Find information in the scientific literature within the course's field of knowledge
Judgement and Approach
  • For a passing grade the doctoral student must
  • Compare and contrast different network protocols, algorithms and architectures and give their relative advantages and disadvantages
    Evaluate network systems and identify their performance goals and constraints
    Evaluate the reliability and significance of experimental or simulation data
    Evaluate the advantages, disadvantages and limitations of different methods for modelling, analysing, and testing network performance
    Critically evaluate information in the scientific literature within the course's field of study
Types of Instruction
  • Lectures
  • Laboratory exercises
  • Exercises
  • Project
Examination Formats
  • Written exam
  • Written report
  • Written assignments
  • The course assessment is divided in two sections, a written exam and a project assignment.
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
Selection Criteria
Literature
  • Sadiku, O., Matthew N. & Musa, Sarhan M.: Performance Analysis of Computer Networks. Springer, 2013.
Further Information
  • Course Coordinator: Emma Fitzgerald, emma.fitzgerald@eit.lth.se
Course code
  • ETSN10F
Administrative Information
  • 2018-03-02
  • Professor Thomas Johansson

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