ORCID

0000-0003-1668-338X

Keywords

CV2X, LTE, Automation, Wireless, Collaborative, Perception

Abstract

Connected and autonomous vehicles (CAVs) necessitate highly reliable, scalable, and responsive Vehicle-to-Everything (V2X) communication systems. Despite recent advancements, Cellular-V2X (C-V2X) in its state-of-the-art form exhibits limitations in managing resource allocation and communication robustness, particularly in dense vehicular scenarios. Additionally, C-V2X standards have been tailored to particularly support periodic broadcasts; whereas true vehicular autonomy demands service-focused communication which differs in transmission behavior compared to periodic safety messages. This document addresses critical bottlenecks within C-V2X by developing cross-layer optimizations across physical, MAC, and application layers. This thesis proposes enhancements on C-V2X resource scheduling protocol with proposing novel adaptive and selective power control mechanisms, along with time-controlled one-shot scheduling schemes to mitigate persistent packet loss. We also propose innovative infrastructure-assisted transactional protocol to accommodate subsequent message exchange in traffic services. Towards achieving true autonomy, the proposed enhancements extend beyond communication optimization and suggest improvements in infrastructure-assisted automated vehicle marshalling that are strongly aligned with the scalability and reliability objective. In addition, a proof of concept is presented on bandwidth-efficient collaborative perception using wavelet decomposition. Extensive simulations and performance analyses validate these proposed solutions, demonstrating tangible improvements in scalability and reliability, as well as proposal for novel functionalities. This work collectively advances the practical viability of future connected and automated transportation systems and proposes innovations for near-future vehicular autonomy.

Completion Date

2025

Semester

Fall

Committee Chair

Yaser Fallah

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

Department of Electrical and Computer Engineering

Format

PDF

Identifier

DP0029751

Document Type

Thesis

Campus Location

Orlando (Main) Campus

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