Publication Date

Spring 2024

Degree Type

Master's Project

Degree Name

Master of Science in Computer Science (MSCS)

Department

Computer Science

First Advisor

Navrati Saxena

Second Advisor

Abhishek Roy

Third Advisor

Genya Ishigaki

Keywords

5G-V2X, handover, dwell time

Abstract

Vehicle-to-Everything (V2X) networks have facilitated smooth communication in vehicles and their surroundings via 5G technology. As vehicles move into different coverage areas, they tend to switch between cellular base stations in order to talk to these "things". Handovers are crucial to maintaining these networks’ effectiveness. To ensure uninterrupted connectivity and seamless handovers, it is extremely important to select a base station that is most appropriate. A vehicle’s dwell time is the duration it stays connected to a base station before handoff. This research focuses on predicting dwell time using regression techniques to proactively choose the most suitable base station. We aim to choose a base station that offers the highest dwell time to minimize handovers. We use the predicted dwell time along with SUMO and NS-3 applications to measure handover performance. As compared to the conventional A2A4RsrqHandover algorithm, the proposed approach reduces handovers by 34%.

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