# Dependence Control for Reliability Optimization in Vehicular Networks

## TL;DR

This paper introduces a dependence control mechanism using stochastic ordering to enhance reliability in vehicular networks by optimizing power allocation based on delay dependence among V2V links.

## Contribution

It models delay dependence in V2V links and applies a concordance order-based power allocation to improve network reliability, which is a novel approach.

## Key findings

- Achieves up to 25% reliability gain over baseline systems.
- Demonstrates effectiveness of dependence control through simulations.
- Provides a new framework for reliability optimization in vehicular networks.

## Abstract

Vehicular networks will play an important role in enhancing road safety, improving transportation efficiency, and providing seamless Internet service for users on the road. Reaping the benefit of vehicular networks is contingent upon meeting stringent wireless communication performance requirements, particularly in terms of delay and reliability. In this paper, a dependence control mechanism is proposed to improve the overall reliability of vehicular networks. In particular, the dependence between the communication delays of different vehicle-to-vehicle (V2V) links is first modeled. Then, the concept of a concordance order, stemming from stochastic ordering theory, is introduced to show that a higher dependence can lead to a better reliability. Using this insight, a power allocation problem is formulated to maximize the concordance, thereby optimizing the overall communication reliability of the V2V system. To obtain an efficient solution to the power allocation problem, a dual update method is introduced. Simulation results verify the effectiveness of performing dependence control for reliability optimization in a vehicular network, and show that the proposed mechanism can achieve up to 25% reliability gain compared to a baseline system that uses a random power allocation.