Electronic Theses and Dissertations

Date of Award

1-1-2024

Document Type

Dissertation

Degree Name

Ph.D. in Engineering Science

First Advisor

John Daigle

Second Advisor

Ramanarayanan Vish

Third Advisor

Lei Cao

School

University of Mississippi

Relational Format

dissertation/thesis

Abstract

The objective of this dissertation is to quantify the loss of Decentralized Environmental Notification Messages (DENMs) in a vehicle-to-vehicle (V2V) scenario in which DENMs are transmitted over subchannels of the sidelink (SL) specifically allocated for DENM transmission, with vehicular user equipments (VUE) autonomously selecting and managing the radio resources for transmitting DENMs. A slot-based discrete parameter, discrete-valued Markov Chain (DVMC) model that reflects DENM generation requirements for an ensemble of VUEs is developed. This model simultaneously acknowledges the potentially bursty nature and correlations within the DENM generation process and is used to assess DENM loss. DENM loss is determined according to a capture model, with closed-form formulae presented for the state-dependent probability mass function of the number of DENMs lost as a function of system parameters. Performance analysis shows that the stochastic equilibrium loss distribution at a given offered load and number of vehicles is independent of the burstiness of the DENM generation process. Thus, loss analysis throughout the transient period under specific system parameters is conducted to explore the bursty mode in depth. Numerical examples illustrate how the correlation coefficient of the number of transmitting vehicles is affected by the expected length of the burst period at a fixed offered load. However because of the large number of states in the model, numerical problems occur as the number of VUEs in the ensemble is increased. Therefore, a coarser frame-based model is presented and results of the two models are compared. An analytical comparison of performance metrics is conducted between the two models for a smaller number of VUEs. For higher number of VUEs, simulation analysis is performed for the first model. Analysis indicates that both models exhibit similar trends in their results, and Model 2 can be effectively used to analyze the system when a larger number of VUEs is involved.

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