PhD Oral Exam - Alexis Danilo Yanez Inostroza, Computer Science

When studying for a doctoral degree (PhD), candidates submit a thesis that provides a critical review of the current state of knowledge of the thesis subject as well as the student’s own contributions to the subject. The distinguishing criterion of doctoral graduate research is a significant and original contribution to knowledge.

Once accepted, the candidate presents the thesis orally. This oral exam is open to the public.

Abstract

Wireless device-to-device (D2D) communications over 5G, and Beyond 5G (B5G) open new possibilities for Intelligent Transportation Systems (ITS). New multiple-access schemes support reliable safety applications, including proximity, turn alerts, and crash prevention. These emerging technologies promise to transform transportation safety and efficiency. In this thesis, the design and implementation of a control system based on a new VRU-centered aproach is proposed to serve adaptive ITS safety applications to consider and increase Vulnerable Road User (VRU) awareness from motor vehicles, but also not jeopardize the network performance. For this purpose, the VRU Awareness Probability (VAP) metric is defined and modeled over 5G New Radio (NR) to quantify the extent to which motor vehicles are aware of VRU. Subsequently, an analytical relationship is established between VAP and the performance metrics of the ad-hoc communication network, which is based on results obtained from a simulation of an urban intersection scenario where users are connected through the 5G NR technology using mode 2 for D2D communication. Later, the European Telecommunications Standards Institute (ETSI) clustering algorithm is implemented over simulations on VRU, and the impact of this scheme on the network performance metrics (specifically, the Packet Delivery Ratio (PDR)) and on the VAP metric is demonstrated, with an average increase of 50\% and 65\% respectively.