Course leader: Naeem Khademi
Home Institution: University of Stavanger
Course pre-requisite(s): basic knowledge of computer networking and data communication is desired.
Course Overview
Autonomous and cooperative self-driving cars, AI-powered smart roads, and intelligent transportation systems are no longer dreams of a distant future. Thanks to the recent rapid advances in the fields of Internet-of-Things (IoT), automotive technology, and telecommunication, these dreams are far closer to the realization than ever. A key element that connects the missing dots in order to realize the full potential of all of these technologies, is communication. The upcoming 5th generation of mobile networks (5G) is expected to play a very crucial role in enabling smart services on the road and within the vehicles.
This course provides an in-depth insight on the state-of-the-art communication technologies and paradigms for connected and automated mobility for smart roads and vehicles. It demonstrates how and where such technologies can be employed to offer novel services on the road that were otherwise not possible to realize. In doing so, a special focus will be given to the mobility services that can be offered using 5G mobile technology – e.g. in-vehicle augmented/virtual reality, cooperative maneuvering and road safety services.
Learning Outcomes
Knowledge -- by the end of this course the candidate has gained knowledge on:
Skills – by the end of this course the candidate will be able to:
General competencies – by successful completion of this course the candidate will gain a detailed understanding of the state-of-the-art communication protocols and mechanisms (most prominently 5G mobile) for automated and connected mobility in smart roads and vehicles. The candidate will develop sufficient competence in analyzing the service requirements and KPIs for novel vehicular applications within the cooperative intelligent transport systems. The course will stimulate interest towards student’s potential future multidisciplinary research and development activities in the areas of telecommunication, automotive, and software engineering (e.g., augmented reality and IoT sensor-based). The candidate will also develop an understanding on how smart connectivity and mobility services in vehicles and roads can benefit the society as a whole by providing safety, security and energy/time efficiency.
Course Content
The course covers the following topics:
Instructional Method
The following instructional methods will be utilized using Problem-Based Learning (PBL) style:
Required Course Materials
The majority of topics are discussed and elaborated during the lectures with limited homework tasks. Required readings are suggested during the lectures. No specific software is required. The following readings provide a general idea behind the course curriculum and are therefore recommended:
[1] Z. MacHardy et al., “V2X Access Technologies: Regulation, Research, and Remaining Challenges”, IEEE Communications Surveys & Tutorials, vol 20, third-quarter 2018.
[2] V. Mannoni et al., “A Comparison of the V2X Communication Systems: ITS-G5 and C-V2X”, IEEE Vehicular Technology Conference (IEEE VTC), Kuala Lumpur, Malaysia, 2019.
[3] Y. Li et al., “LoRa on the Move: Performance Evaluation of LoRa in V2X Communications”, IEEE Intelligent Vehicles Symposium (IV), Changshu, China, 2018.
[4] J. Wang et al., “A Survey of Vehicle to Everything (V2X) Testing”, Sensors, vol. 19, no. 2, p. 334, Jan. 2019.
[5] L. Liu et al., “Vehicular Edge Computing and Networking: A Survey”, arXiv e-prints, July 2019.
[6] 3GPP TS 22.186, “Enhancement of 3GPP support for V2X scenarios”, 3rd Generation Partnership Project (3GPP)
[7] 3GPP TS 22.185, “Service requirements for V2X services”, 3rd Generation Partnership Project (3GPP)
[8] “Accelerating C-V2X commercialization”, Qualcomm presentation, 2017
[9] M. Flament, “Making connected cars a reality with 5G (and LTE)”, 5G-CroCo EU project, 2019
[10] N. Khademi, “V2X Communication for Intelligent Transport Systems: Challenges and requirements”, trial presentation, University of Stavanger, Norway, May 2019.
[11] M. Boban et al., “Connected Roads of the Future: Use Cases, Requirements, and Design Considerations for Vehicle-to-Everything Communications", IEEE Vehicular Technology Magazine, Sept. 2018
[12] J. Guerrero-Ibáñez et al., “Sensor Technologies for Intelligent Transportation Systems”, Sensors (Basel),18(4):1212, 2018.
[13] J. Kenney, “Dedicated Short-Range Communications (DSRC) Standards
in the United States”, Proceedings of the IEEE. 99. 1162 – 1182, 2011.
[14] K. Samdanis et al. “From network sharing to multi-tenancy: The 5G network slice broker”, IEEE Communications Magazine, vol. 54, no. 7, pp. 32-39, July 2016.
[15] H. Khan et al., “Network slicing for vehicular communication”, Journal of Transactions on Emerging Telecommunication Technologies, May 2019.
Assessment
Start of the course: Explicit information about grading procedures based on UDC directives, overall expectations and specific assignments will be provided to the candidates.
During the course: there will be daily quiz and feedback using Kahoot gamification for learning and other tools in addition to the group projects.
Towards the end part of the course: a final written deliverable report is required that contains:
The final examination will address the selected topics and includes the oral presentation and discussion of the deliverable report.