Communication and Computation Assisted Sensing Information Freshness Performance Analysis in Vehicular Networks

TL;DR

This paper provides a theoretical analysis of information freshness in vehicular networks by modeling communication and computation resources, deriving AoI expressions, and analyzing the tradeoff between these resources for optimal performance.

Contribution

It introduces a novel AoI metric analysis in a joint communication and computation vehicular network model with stochastic geometry and queueing theory.

Findings

Optimal tradeoff between communication and computation improves AoI.

Derived closed-form expressions for coverage probability and data rate.

Simulation confirms the relationship between resource capacities and information freshness.

Abstract

The timely sharing of raw sensing information in the vehicular networks (VNETs) is essential to safety. In order to improve the freshness of sensing information, joint scheduling of multi-dimensional resources such as communication and computation is required. However, the complex relevance among multi-dimensional resources is still unclear, and it is difficult to achieve efficient resource utilization. In this paper, we present a theoretical analysis for a novel metric Age of Information (AoI) on a communication and computation assisted spatial-temporal model. An uplink VNETs scenario where Road Side Units (RSUs) are deployed with computational resource is considered. The transmission and computation process is unified into a two-stage tandem queue and the expression of the average AoI is derived. The network interference is analyzed by modeling the VNETs as Cox Poisson Point Process based on stochastic geometry and the closed-form solution of the coverage probability and the expected data rate performance under the constraints of transmission resources is obtained. The simulation results reveal the basic relationship between communication and computation capacity and show that communication and computation should reach a tradeoff to improve resource utilization while ensuring real-time information requirement.