English

Low Latency Scheduling Algorithms for Full-Duplex V2X Networks

Information Theory 2021-01-14 v1 Signal Processing math.IT

Abstract

Vehicular communication systems have been an active subject of research for many years and are important technologies in the 5G and the post-5G era. One important use case is platooning which is seemingly the first step towards fully autonomous driving systems. Furthermore, a key performance parameter in all vehicular communication systems is the end-to-end packet latency. Towards this goal, full-duplex (FD) transceivers can potentially be an efficient and practical solution towards reducing the delay in platooning networks. In this paper, we study the delay performance of dynamic and TDMAbased scheduling algorithms and assess the effect of FD-enabled vehicles with imperfect self-interference cancellation (SIC). By simulations, we demonstrate the performance-complexity tradeoff of these algorithms and show that a TDMA centralized scheme with low-complexity and overhead can achieve comparable performance with a fully-dynamic, centralized algorithm.

Keywords

Cite

@article{arxiv.2101.05127,
  title  = {Low Latency Scheduling Algorithms for Full-Duplex V2X Networks},
  author = {Michail Palaiologos and Jian Luo and Richard A. Stirling-Gallacher and Giuseppe Caire},
  journal= {arXiv preprint arXiv:2101.05127},
  year   = {2021}
}

Comments

Submitted to "VTC2021-Spring, Recent Results and Workshops"

R2 v1 2026-06-23T22:07:31.624Z