Jitter Performance Evaluation for Resilient Vehicular Systems

2026-03-18

AI Summary

This study addresses transmission delay jitter in vehicle-to-vehicle (V2V) communications caused by stochastically evolving interference and dynamically varying inter-vehicle distances. To enhance system resilience, the authors propose a novel framework that formulates a dynamic mathematical model under multiple stochastic degradation processes and introduces a limit-state metric to characterize performance evolution. The approach integrates adaptive power allocation with multi-input single-output (MISO) link diversity to proactively mitigate jitter. The work innovatively formalizes system jitter tolerance and load-induced capacity degradation, establishing a comprehensive resilience assessment mechanism spanning alert, failure, and recovery phases. Experimental results demonstrate that, compared to fixed resource allocation schemes, the proposed method reduces average risk exposure by approximately threefold, effectively enabling jitter quantification and resource-aware recovery.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Multiagent Systems: Agent Communication
• Reasoning under Uncertainty: Stochastic Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Security and Privacy: Large-scale security measurements
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

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.

Problem

• timing jitter
• vehicular communications
• resilience
• V2V
• stochastic interference

Innovation

• jitter resilience
• V2V communication
• limit-state indicator
• adaptive power allocation
• link diversity