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PhD defence of Mozhdeh Gholibeigi

Public PhD Defence 
Mozhdeh Gholibeigi

Title: Reliable Vehicular Broadcasting

When : On Thursday, December 13th 2018 at 10:45.
The defense will be proceeded by a short introduction at 10:30.

Abstract: Intelligent Transport Systems (ITS) applications relying on vehicular communications provide means for increased efficiency and safety of vehicular transportation. Vehicular broadcasting is a common communication type that many ITS applications rely on. Direct Short Range Communication (DSRC) based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11p standard is considered as the main wireless communication technology to enable vehicular communication, including broadcasting. However, IEEE 802.11p-based broadcast is defined as a best-effort service, lacking an acknowledgment technique. Motivated by this, in this thesis, we focus on the reliability requirement of vehicular broadcasting. We propose an End-to-End (E2E) reliability assurance mechanism based on a sequence checking module where receivers can detect missing packets and explicitly request them. We analytically model and analyze it in the context of single-hop and multi-hop vehicular communication scenarios based on the IEEE 802.11p standard. The results of our analysis show that the proposed reliability assurance mechanism performs efficiently, in both scenarios, by imposing little burden of error recovery even for high number of receivers.

Device-to-Device (D2D) communication technology has been considered as a promising alternative to the IEEE 802.11p standard in the recent releases of the 4th generation of 3GPP mobile networking system. D2D refers to direct communication between users in close vicinity, by utilizing the cellular radio spectrum and without traversing the infrastructure. Radio resource reuse, aiming efficient utilization of the scarce spectrum, is an important aspect of D2D resource allocation and in our work we propose a reuse-based resource allocation approach being adaptive to the network load and topology. That is, by taking into account the number of users seeking for D2D broadcast and their geographical distribution in the network, resources are allocated in the most efficient manner, aiming spectrum efficiency and collision avoidance, due to reuse. The results of our model and analysis verify spectrum efficiency and reliability of the proposed resource allocation approach, in comparison with the baseline approach. Our analytical models provide means for analysis of vehicular broadcasting and our proposed approaches of improving its reliability. This allows for efficient study of impact of various factors on the performance of broadcasting.