LEAP: Location Estimation and Predictive Handover with Consumer-Grade mmWave Devices
LEAP: Location Estimation and Predictive Handover with Consumer-Grade mmWave Devices
复制标题
LEAP：使用消费级毫米波设备进行位置估计和预测切换
DOI：
10.1109/infocom.2019.8737434
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Joerg Widmer
中科院分区：
文献类型：
--
作者：
J. Palacios;P. Casari;Hany Assasa;Joerg Widmer
未来的毫米波网络将支持非常高密度的设备和接入点。这极大地增加了接入点选择和波束训练所需的开销。幸运的是，毫米波信道的准光学特性使得基于位置的网络优化成为一种非常有前途的技术，可以减少此类毫米波 WLAN 中的控制开销。在本文中，我们从现成的路由器中提取信道状态信息，用它来设计高精度定位系统，然后展示位置信息如何实现网络操作的优化。由此产生的方案名为 LEAP，可以预测阻塞、优化接入点关联并选择最合适的天线波束方向图，同时显着减少波束训练开销。我们表明，与标准的最先进的 802.11ad 系统相比，LEAP 的位置驱动管理极大地提高了网络性能和链路稳定性。
Future millimeter-wave networks will support very high densities of devices and access points. This vastly increases the overhead required for access point selection and beam training. Fortunately, the quasi-optical properties of millimeter-wave channels make location-based network optimization a highly promising technique to reduce control overhead in such millimeter-wave WLANs. In this paper, we extract channel state information from off-the-shelf routers, we use it to design a high accuracy location system, and then show how location information enables the optimization of network operations. The resulting scheme, named LEAP, can predict blockage, optimize access point association, and select the most suitable antenna beam patterns while significantly reducing the beam training overhead. We show that compared to standard state-of-the-art 802.11ad systems, LEAP’s location driven management greatly improves network performance and link stability.