Channel Tracking and Hybrid Energy Beamforming for WPT Enabled IoT System with Mobile mMIMO BS

Kui Xu, Zhexian Shen, Ming Zhang, Dongmei Zhang, Wei Xie, Nan Sha
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Abstract

In this paper, we consider the channel tracking and energy hybrid beamforming for the wireless power transfer (WPT) enabled Internet of Things (IoT) system, where the mobile base station (MBS) serves a set of half-duplex (HD) sensors that are uniformly distributed within its coverage area. A linear Kalman filter based multipath channel tracking and hybrid energy beamforming scheme is proposed by investigating the temporal and spatial properties of channel. Firstly, the Doppler frequency offset (DFO) is compensated through beam alignment and capturing the precise angular information from signals. Then, the multipath channel is tracked during the angle of arrival time (AOAT). Finally, the hybrid beamforming is applied to realize downlink WPT and uplink data transmission. The superiority of the proposed scheme is evaluated through simulations.
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基于移动mMIMO BS的WPT支持物联网系统信道跟踪和混合能量波束形成
在本文中,我们考虑了无线电力传输(WPT)支持的物联网(IoT)系统的信道跟踪和能量混合波束形成,其中移动基站(MBS)服务于一组均匀分布在其覆盖区域内的半双工(HD)传感器。通过研究信道的时空特性,提出了一种基于线性卡尔曼滤波的多径信道跟踪和混合能量波束形成方案。首先,通过波束对准和捕获信号中精确的角度信息来补偿多普勒频偏。然后,在到达时间角(AOAT)期间对多径信道进行跟踪。最后,采用混合波束形成技术实现下行WPT和上行数据传输。通过仿真验证了该方案的优越性。
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