Experimental Feasibility Study of Motion Sensor-Aided mm-Wave Beam Tracking

J. Arnold, L. Simić, P. Mähönen
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引用次数: 7

Abstract

The spectrum-rich millimeter-wave (mm-wave) bands are being considered for next generation mobile networks. However, due to the high path loss at these frequencies, mm-wave systems rely on highly directional antennas, making precise antenna alignment a major issue. To provide seamless connectivity for mobile users, efficient beam tracking is thus crucial. In this paper we propose using motion sensor data to track small-scale rotational user motion and to thus correct mm-wave antenna misalignment at the mobile station (MS). To this end, we study in detail the characteristics of typical MS rotational motion using an Android app and mm-wave urban measurement data. We thereby evaluate the effectiveness of MS-based beam tracking, in terms of link stability and link quality, and derive practical engineering bounds on tracking delay and sensor accuracy. We show that, in order to make motion sensor-aided beam tracking beneficial, the tracking delay and sensor error must not exceed 30 ms and 1.2°, respectively, for our 10° antenna system. Although these requirements are within the capabilities of state-of-the-art MEMS chips, they cannot be guaranteed by the Android sensor API, suggesting that direct low-level access to the sensors should be provided to support mm-wave beam tracking.
运动传感器辅助毫米波波束跟踪实验可行性研究
下一代移动网络正在考虑频谱丰富的毫米波(mm-wave)频段。然而,由于这些频率的高路径损耗,毫米波系统依赖于高度定向的天线,使得精确的天线对准成为一个主要问题。因此,为移动用户提供无缝连接,高效的波束跟踪至关重要。在本文中,我们建议使用运动传感器数据来跟踪小规模的旋转用户运动,从而纠正移动站(MS)的毫米波天线失调。为此,我们利用Android应用程序和毫米波城市测量数据,详细研究了典型MS旋转运动的特征。因此,我们从链路稳定性和链路质量方面评估了基于ms的波束跟踪的有效性,并得出了跟踪延迟和传感器精度的实际工程界限。我们表明,为了使运动传感器辅助波束跟踪有益,对于我们的10°天线系统,跟踪延迟和传感器误差不得分别超过30 ms和1.2°。虽然这些要求在最先进的MEMS芯片的能力范围内,但Android传感器API无法保证这些要求,这表明应该提供对传感器的直接低级访问,以支持毫米波波束跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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