发表机构
University of Engineering and Technology (UET) Mardan; GIK Institute of Engineering Sciences and Technology; University of Engineering and Technology (UET) Peshawar（曼德工程学院; GIK工程科学与技术学院; 白沙瓦工程学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文研究将辅助无人机与RSU集成的车载网络配置，利用无人机提升高负载下的服务容量与吞吐量，为容量受限的车载网络提供了灵活的负载缓解方案。
AI 中文摘要
联网车辆密度不断增大，会给固定路边基础设施带来巨大压力，尤其是当可用通信资源不足以应对临时交通激增时。本文研究辅助无人机（UAV）作为灵活机制，用于提升车载网络的服务可用性与吞吐量。考虑两种典型网络配置：第一种中，辅助无人机（UAVa）补充两个固定路边单元（RSU）；第二种中，UAVa辅助异构基础设施，包含一个RSU和一个无人机。车辆服务根据节点覆盖范围、空中链路的视距（LoS）概率以及规定的信干噪比（SINR）要求确定。所提出的框架使UAVa能在网络负载增加时，接纳主要基础设施无法充分服务的合格车辆。仿真结果显示，在考虑的配置下，空中节点受益于更有利的传播条件，比固定地面RSU实现更高的吞吐量；此外，引入UAVa可在高车载负载下提升纯地面基线网络及已有空中节点支持的网络的可用服务容量。这些结果表明，辅助无人机作为容量受限车载网络的灵活负载缓解机制具有应用潜力。
英文摘要
The increasing density of connected vehicles can place substantial pressure on fixed roadside infrastructure, particularly when the available communication resources become insufficient to accommodate temporary traffic surges. This paper investigates auxiliary unmanned aerial vehicle (UAV) assistance as a flexible mechanism for improving service availability and throughput in vehicular networks. Two representative network configurations are considered. In the first, an auxiliary UAV (UAVa) supplements two fixed roadside units (RSUs), whereas in the second, UAVa assists a heterogeneous infrastructure comprising one RSU and one UAV. Vehicle service is determined according to node coverage, the line-of-sight (LoS) probability of aerial links, and a prescribed signal-to-interference-plus-noise ratio (SINR) requirement. The resulting framework enables UAVa to accommodate eligible vehicles that cannot be adequately served by the primary infrastructure as the network load increases. Simulation results show that, under the considered configurations, the aerial nodes benefit from more favorable propagation conditions and achieve higher throughput than the fixed terrestrial RSU. Moreover, the introduction of UAVa increases the available service capacity under high vehicular loads, both for a purely terrestrial baseline and for a network already supported by an aerial node. These results demonstrate the potential of auxiliary UAV assistance as a flexible load-relief mechanism for capacity-constrained vehicular networks.
CommentsPublished in: 2023 18th International Conference on Emerging Technologies (ICET) https://doi.org/10.1109/ICET59753.2023.10375046
