Jitter Performance Evaluation for Resilient Vehicular Systems

TL;DR

This paper develops a mathematical framework to evaluate and improve the resilience of vehicular communication systems against timing jitter caused by interference and dynamic vehicle separation, using adaptive resource strategies.

Contribution

It introduces a novel stochastic modeling approach for V2V jitter resilience and proposes adaptive power and link diversity strategies to enhance system robustness.

Findings

The framework effectively quantifies jitter degradation and resilience.

Adaptive resource allocation improves jitter resilience by approximately three times.

Numerical results validate the proposed mitigation strategies.

Abstract

In this paper, the challenge of resilient vehicular communications is investigated for a vehicle-to-vehicle (V2V) wireless link subject to timing jitter induced by the stochastic evolution of interference and inter-vehicular separation dynamics. To characterize the dynamic behavior of V2V systems under the influence of multiple stochastic deterioration processes, this work presents a novel mathematical framework for modeling and mitigating transmission delay jitter in V2V communication systems. A limit-state indicator is introduced to capture the progression of system performance, along with formal mathematical definitions of the system's jitter-withstanding capacity and the load-induced capacity degradation, defined in terms of the V2V system's ability to withstand jitter. These quantities provide the basis for tracking and assessing the system's resilience to timing jitter across all stages, including the alarming, failure, and restoration phases. To enhance resilience against jitter, adaptive power allocation and link diversity strategies (multiple-input-single-output) are investigated. These strategies bring the limit-state metric back within its safety bound, thereby resulting in an improved jitter-withstanding capacity. Numerical results validate the framework for quantifying jitter degradation and enabling resource-aware recovery. The results also establish that the investigated adaptive resource allocation scheme yields approximately 3-fold improvement in the average risk exposure rate relative to a constant resource allocation scheme baseline.