论文标题
启用无人机的无线网络的交通流量建模
Traffic Flow Modeling for UAV-Enabled Wireless Networks
论文作者
论文摘要
本文研究了以多功能服务的无人机（UAV）为支持的无线网络中的交通流量建模问题，这对于支持此类网络的未来各种应用至关重要。我们为多个服务的无人机无线网络提出了一个通用交通流模型。在此模型下，我们首先将网络服务分类为三个子集：遥测，物联网（IoT）和流数据。然后，基于帕累托分布，我们将所有无人机分配给具有不同网络使用情况的三个子组。我们进一步确定了不同网络服务的数据包数量和数据包的总数据包数量，该数据包到达率的九个段的到达率，每个片段代表了服务子集与无人机子组之间的一个地图关系。提供了仿真结果，以说明在实际情况下，流量模型预测的数据包的数量和数据大小可以与它们匹配。
This paper investigates traffic flow modeling issue in multi-services oriented unmanned aerial vehicle (UAV)-enabled wireless networks, which is critical for supporting future various applications of such networks. We propose a general traffic flow model for multi-services oriented UAV-enable wireless networks. Under this model, we first classify the network services into three subsets: telemetry, Internet of Things (IoT), and streaming data. Based on the Pareto distribution, we then partition all UAVs into three subgroups with different network usage. We further determine the number of packets for different network services and total data size according to the packet arrival rate for the nine segments, each of which represents one map relationship between a subset of services and a subgroup of UAVs. Simulation results are provided to illustrate that the number of packets and the data size predicted by our traffic model can well match with these under a real scenario.
