35167 - Communication Systems: Theory and Measurement M

Academic Year 2020/2021

  • Docente: Martin Klapez
  • Credits: 6
  • SSD: ING-INF/03
  • Language: English
  • Moduli: Martin Klapez (Modulo 1) Carlo Augusto Grazia (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Electric Vehicle Engineering (cod. 5699)

Learning outcomes

At the end of the course the students acquire the knowledge and the ability to cope with modulation/demodulation techniques, signal processing and receiver architectures, measurement of spectra, signals and filter design.

Course contents

The course is organized in three modules.

Module 1: Introduction, Applications, and Scientific Principles
This module starts by introducing the field of vehicular communications. The emphasis is on the forecasted applications to electric, connected, and autonomous vehicles and how they may impact safety, energy efficiency, and pollution without neglecting the security issues that are crucial as vehicles connectivity increases. After the introduction, the attention will be shifted to the scientific principles that support modern digital communications and cryptography.

Module 2: Inter-vehicle Communications, Security and Privacy
This Module addresses all the main distinctive problems of wireless vehicular communications and presents solutions, improvements, and trade-offs. The two leading technologies are exposed and compared, i.e., the WiFi-based standards (IEEE 802.11p and IEEE 1609 WAVE) and the Cellular-based standards (C-V2X and LTE), after which the focus will move to the evolution of radio access technologies for autonomous driving, i.e., IEEE 802.11bd and 5G New Radio C-V2X.

Module 3: Intra-vehicle Communications
Means and technologies for intra-vehicle transmissions in connected vehicles will be covered here. This Module details the architectures, signal buses, and electronic control units employed for intra-vehicle networking and analyzes network topologies and data formats. Several technologies are compared and put in context with present and future applications.


Notes
On your right or on the head of the page you may see a teaching sheet that lists two modules only. The first includes Modules 1 & 2 above. Moreover, the learning outcomes on top are outdated. This class aims at providing students with a "vertically-integrated" view of the vehicular communications field. The course is structured to first equip students with a solid understanding of the scientific principles underlying connected vehicles' operativity and security, following which they are exposed to inter-vehicle and intra-vehicle communications technologies, their applications, and the techniques to secure them and ensure users' privacy.

Readings/Bibliography

Students are not bound to purchase any textbook, although non-attending students may find the following sources useful.

Books

  • Sommer, C., & Dressler, F. (2014). Vehicular Networking. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781107110649
  • Katz, J., & Lindell, Y. (2020). Introduction to Modern Cryptography: Third Edition (3rd ed.). CRC Press. https://doi.org/10.1201/9781351133036
  • X. Cheng et al. (2019). 5G-Enabled Vehicular Communications and Networking. Springer. https://doi.org/10.1007/978-3-030-02176-4_2 
  • Dimitrakopoulos G. (2017). Current Technologies in Vehicular Communication. Springer. https://doi.org/10.1007/978-3-319-47244-7

Articles

  • G. Naik, B. Choudhury and J. Park, "IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications," in IEEE Access, vol. 7, pp. 70169-70184, 2019, doi: 10.1109/ACCESS.2019.2919489.
  • R. Lu, L. Zhang, J. Ni and Y. Fang, "5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy," in Proceedings of the IEEE, vol. 108, no. 2, pp. 373-389, Feb. 2020, doi: 10.1109/JPROC.2019.2948302.

Teaching methods

Lectures, case studies, discussions, and intermediate tests.

There are no particular prerequisites, all the concepts necessary for understanding the content will be presented during class. However, prior, basic knowledge of the following will facilitate the work, especially for non-attending students:

  • Computer networking principles
  • Algorithm theory
  • Probability theory
  • Discrete Mathematics
  • Modular Arithmetic

Assessment methods

There will be a test at the end of every Module, each concurring to the final vote by ~1/3 of the total. It is possible to perform a unique test at the end of the Course, although it is recommended to do the intermediate ones gradually. Whether these tests are written or oral will depend on the evolution of the COVID-19 situation.

There may be quizzes during every Module, to reinforce learning and provide quick feedback. They may account for a percentage of the final vote.

Teaching tools

Notice and instructions will be given for every additional teaching tool if and when is introduced.

Office hours

See the website of Martin Klapez

See the website of Carlo Augusto Grazia