论文标题
MMWAVE地面向空中传播的渠道预测
Channel Prediction for mmWave Ground-to-Air Propagation under Blockage
论文作者
论文摘要
近年来，使用无人驾驶汽车（UAV）的地面到空中（GA）通信已广受欢迎，预计将成为5G网络及以后的一部分。但是，GA链路易于在毫米波（MMWave）频率下频繁堵塞。在链接阻塞期间，无法可靠地获得通道信息。在这项工作中，我们在28 GHz的GA链路阻塞期间提供了一种新颖的通道预测方法。在我们的方法中，根据MPC的通道参数之间的最小欧几里得距离，将沿无人机飞行轨迹的多径成分（MPC）排列到独立的路径箱中。布置后，在阻塞期间预测了单个路径箱中MPC的通道参数。自回归模型用于预测。从射线跟踪模拟获得的结果表明，实际和预测的MMWave通道之间的匹配。
Ground-to-air (GA) communication using unmanned aerial vehicles (UAVs) has gained popularity in recent years and is expected to be part of 5G networks and beyond. However, the GA links are susceptible to frequent blockages at millimeter wave (mmWave) frequencies. During a link blockage, the channel information cannot be obtained reliably. In this work, we provide a novel method of channel prediction during the GA link blockage at 28 GHz. In our approach, the multipath components (MPCs) along a UAV flight trajectory are arranged into independent path bins based on the minimum Euclidean distance among the channel parameters of the MPCs. After the arrangement, the channel parameters of the MPCs in individual path bins are forecasted during the blockage. An autoregressive model is used for forecasting. The results obtained from ray tracing simulations indicate a close match between the actual and the predicted mmWave channel.
