论文标题
飞行网络中的交通吸引门户的位置和队列管理
Traffic-aware Gateway Placement and Queue Management in Flying Networks
论文作者
论文摘要
无人驾驶飞机（UAV）已成为携带通信节点的足够平台，包括Wi-Fi接入点和蜂窝基站。这导致了由无人机组成的飞行网络的概念，作为一种灵活而敏捷的解决方案，可以随时随地提供按需无线连接。但是，最新工程的重点是优化访问网络的放置，从而为地面用户提供了连接性，从而忽略了回程网络设计。为了提高提供给地面用户的总体服务质量（QoS），需要仔细定义在无人机中配置的飞行网关（FGW）的放置（FGW）和排队的大小，以满足严格的性能要求。本文的主要贡献是用于飞行网络的流量感知网关位置和队列管理（GPQM）算法。 GPQM会提前了解无人机的位置及其流量需求，以确定无人机的FGW位置和队列大小，以最大程度地提高汇总吞吐量并提供随机延迟保证。考虑到现实的无线通道模型，通过NS-3模拟评估GPQM。结果表明，使用GPQM时提供的QoS的显着增长。
Unmanned Aerial Vehicles (UAVs) have emerged as adequate platforms to carry communications nodes, including Wi-Fi Access Points and cellular Base Stations. This has led to the concept of flying networks composed of UAVs as a flexible and agile solution to provide on-demand wireless connectivity anytime, anywhere. However, state of the art works have been focused on optimizing the placement of the access network providing connectivity to ground users, overlooking the backhaul network design. In order to improve the overall Quality of Service (QoS) offered to ground users, the placement of Flying Gateways (FGWs) and the size of the queues configured in the UAVs need to be carefully defined to meet strict performance requirements. The main contribution of this article is a traffic-aware gateway placement and queue management (GPQM) algorithm for flying networks. GPQM takes advantage of knowing in advance the positions of the UAVs and their traffic demand to determine the FGW position and the queue size of the UAVs, in order to maximize the aggregate throughput and provide stochastic delay guarantees. GPQM is evaluated by means of ns-3 simulations, considering a realistic wireless channel model. The results demonstrate significant gains in the QoS offered when GPQM is used.
