First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
Course unit
INP9086688, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
IN2371, Degree course structure A.Y. 2019/20, A.Y. 2019/20
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Degree course track TELECOMMUNICATIONS [001PD]
Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination COMMUNICATION NETWORK DESIGN
Department of reference Department of Information Engineering
Mandatory attendance No
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge ANDREA ZANELLA ING-INF/03

Course unit code Course unit name Teacher in charge Degree course code

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/03 Telecommunications 6.0

Course unit organization
Period First semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 6.0 48 102.0 No turn

Start of activities 30/09/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2019 course timetable

Prerequisites: Students are expected to be familiar with the most fundamental networking and communication concepts and terms (ISO/OSI model, packet-based networks, routing), and with the main networking protocols (MAC, IP, TCP/UDP). Furthermore, a good mathematical and probability theory background is also required. Basic computer skills are required for the lab experiences. Introductory courses on Linux and MATLAB fundamentals are offered on a volunteer basis by lab technicians before the beginning of the course (see for further details).
Target skills and knowledge: The course aims to provide students with a set of mathematical and methodological tools for the design and analysis of the performance of networks and communication protocols.

More specifically, students will acquire the following knowledge and skills:
1. Understanding of the Key Performance Indicators to be considered for the design/evaluation of communication networks
2. Knowledge of the characteristics of the different types of data sources, their performance requirements and their mathematical modeling.
3. Knowledge and ability to use the mathematical tools necessary to model, dimension and analyze the performance of a communication system at the network level.
4. Ability to identify the most suitable tools and analysis methods to be applied for the design of innovative protocols and networks.
5. Familiarity with the principles of softwarization and virtualization of communication networks
Examination methods: The final exam will be the same for both ATTENDING and NON-ATTENDING students since it does not rely on in-class activities.
The exam consists of a written test, with problems similar to those discussed in class during the lessons. Optionally, the written test can be replaced by an alternative exam method, consisting of some homework to be performed during the course and a final project consisting in the design and / or analysis of the performance of a simple protocol or in the dimensioning of a system.
Assessment criteria: The evaluation criteria to assess the achievement of the course's educational goals are the following:
1. Completeness of the acquired knowledge
2. Level of understanding of the design principles of network protocols
3. Ability to discuss the pros and cons of the different network protocols
4. Ability to dimension a network through the proposed techniques
5. Knowledge of the technical terminology
6. Competence and coherence in the interpretation of performance curves and traces generated by network analytics tools
7. Capability of applying the learned knowledge to network problems other than those addressed in the course
8. Level of familiarity with basic network configuration and management tools
Course unit contents: The course will cover both technological and methodological aspects related to the design/dimensioning of communication networks and protocols. The concepts of quality of experience (QoE) and quality of service (QoS) will be illustrated, analyzing some models proposed in the literature to relate them. The Key Performance Indicators (KPIs) to be considered in system design will be introduced. Then we will define traffic source models and related QoE / QoS requirements. Some methodologies will be introduced for the modeling, the study and the dimensioning of simple communication systems, such as advanced queue / server models, as well as optimization techniques based on Markovian models, such as dynamic programming and Q-Learning. The main resource management algorithms in communication networks (including scheduling) will therefore be studied with reference to the emerging softwarization paradigms of network equipment and functionalities. We will also propose some laboratory experiences designed to investigate these aspects.
Planned learning activities and teaching methods: The course consists of both classroom and lab lectures. Classroom lectures are mainly theoretical in nature and are oriented to the acquisition of methodologies for the design and analysis of network performance. The lab lessons aim to allow the student to experiment with the concepts learned on real devices. During the course, homework and exercises will also be offered to check the level of learning and broaden the knowledge.
Additional notes about suggested reading: Lecture notes, slides, papers, and other material will be handed out during the course

All the material will be made available on the moodle (e-learning) website of the course.
Textbooks (and optional supplementary readings)
  • Behrouz Forouzan, "Data Communications and Networking". --: McGraw-Hill Science/Engineering/Math; 5 edit, 2012. Cerca nel catalogo
  • N. Benvenuto and M. Zorzi, Principles of Communications Networks and Systems. --: Wiley, 2011. Cerca nel catalogo
  • Behrouz Forouzan, "Reti di calcolatori e Internet". --: McGraw-Hill Companies, ISBN-13:9788, 2008. Cerca nel catalogo