A Two-Stage Allocation Scheme for Delay-Sensitive Services in Dense Vehicular Networks

TL;DR

This paper proposes a two-stage radio resource allocation scheme for dense vehicular networks that minimizes delay and enhances reliability by leveraging traffic density information and mobility models.

Contribution

It introduces a novel two-stage allocation algorithm utilizing traffic density and mobility models, reducing complexity while maintaining near-optimal performance.

Findings

Achieves asymptotically optimal delay performance

Reduces allocation complexity in dense urban intersections

Improves reliability of V2X communications

Abstract

Driven by the rapid development of wireless communication system, more and more vehicular services can be efficiently supported via vehicle-to-everything (V2X) communications. In order to allocate radio resource with the reasonable implementation complexity in dense urban intersection, a two-stage allocation algorithm is proposed in this paper, whose main objective is to minimize delay and ensure reliability. In particular, as for the first stage, the allocation policy is based on traffic density information (TDI), which is different from utilizing channel state information (CSI) and queue state information (QSI) in the second stage. Moreover, in order to reflect the influence of TDI on delay, a macroscopic vehicular mobility model is employed in this paper. Simulation results show that the proposed algorithm can acquire an asymptotically optimal performance with the acceptable complexity.