论文标题
分析由Cox分布的车辆继电器辅助的空间相关的车辆网络
Analysis of a Spatially Correlated Vehicular Network Assisted by Cox-distributed Vehicle Relays
论文作者
论文摘要
在车辆到所有（V2X）通信中，路边单元（RSU）在连接各种网络设备方面起着至关重要的作用。在某些情况下，由于拥塞，衰减或干扰，用户可能无法通过RSU良好。在这些情况下，与RSUS相关的车辆继电器可用于为这些用户服务。本文使用随机几何形状来建模和分析与空间相关的异质车辆网络，其中RSUS和车辆继电器都为行人或其他车辆等网络用户提供服务。我们提出了一个分析模型，其中道路，RSU，继电器和用户之间的空间相关性是通过COX点过程系统地建模的。假设用户与RSUS或继电器相关联，我们将获得关联概率和典型用户的覆盖范围。然后，我们通过考虑提出的网络独有的链接的交互来得出用户吞吐量。本文为设计由车辆继电器辅助的空间相关的车辆网络提供了实用的见解。例如，我们表达网络性能，例如用户关联，SIR覆盖率概率和网络吞吐量作为网络密钥几何变量的功能。在实践中，这有助于优化网络，以实现超可靠性或通过更大的关键方面（例如继电器密度或继电器的带宽）来实现空间相关的车辆网络的最大用户吞吐量。
In vehicle-to-all (V2X) communications, roadside units (RSUs) play an essential role in connecting various network devices. In some cases, users may not be well-served by RSUs due to congestion, attenuation, or interference. In these cases, vehicular relays associated with RSUs can be used to serve those users. This paper uses stochastic geometry to model and analyze a spatially correlated heterogeneous vehicular network where both RSUs and vehicular relays serve network users such as pedestrians or other vehicles. We present an analytical model where the spatial correlation between roads, RSUs, relays, and users is systematically modeled via Cox point processes. Assuming users are associated with either RSUs or relays, we derive the association probability and the coverage probability of the typical user. Then, we derive the user throughput by considering interactions of links unique to the proposed network. This paper gives practical insights into designing spatially correlated vehicular networks assisted by vehicle relays. For instance, we express the network performance such as the user association, SIR coverage probability, and the network throughput as the functions of network key geometric variables. In practice, this helps one to optimize the network so as to achieve ultra reliability or maximum user throughput of a spatially correlated vehicular networks by varying key aspects such as the relay density or the bandwidth for relays.
