Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks

TL;DR

This paper introduces an adaptive scheduling scheme for vehicular networks that jointly optimizes fair access and data freshness (AoI) using a novel framework and evolutionary algorithms, improving safety-critical data delivery.

Contribution

It proposes a joint optimization framework for fairness and AoI in 5G vehicular networks, employing a new adaptive selection window and LLM-based MOEA/D for solution.

Findings

Effective balance between fairness and AoI achieved in simulations.

Adaptive adjustment of Semi-Persistent Scheduling improves data freshness.

Framework ensures timely and equitable data access for vehicles.

Abstract

In this paper, we consider the fair access problem and the Age of Information (AoI) under 5G New Radio (NR) Vehicle-to-Infrastructure (V2I) Mode 2 in vehicular networks. Specifically, vehicles follow Mode 2 to communicate with Roadside Units (RSUs) to obtain accurate data for driving assistance.Nevertheless, vehicles often have different velocity when they are moving in adjacent lanes, leading to difference in RSU dwelltime and communication duration. This results in unfair access to network resources, potentially influencing driving safety. To ensure the freshness of received data, the AoI should be analyzed. Mode 2 introduces a novel preemption mechanism, necessitating simultaneous optimization of fair access and AoI to guarantee timely and relevant data delivery. We propose a joint optimization framework for vehicular network, defining a fairness index and employing Stochastic Hybrid Systems (SHS) to model AoI under preemption mechanism. By adaptively adjusting the selection window of Semi-Persistent Scheduling (SPS) in Mode 2, we address the optimization of fairness and AoI. We apply a large language model (LLM)-Based Multi-objective Evolutionary Algorithm Based on Decomposition (MOEA/D) to solve this problem. Simulation results demonstrate the effectiveness of our scheme in balancing fair access and minimizing AoI.