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Analog beam tracking in linear antenna arrays: Convergence, optimality, and performance

机译:线性天线阵列中的模拟波束跟踪:收敛性,最优性和性能

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The directionality of millimeter-wave (mmWave) communications creates a significant challenge in serving fast-moving mobile terminals on, e.g., high-speed vehicles, trains, and UAVs. This challenge is exacerbated in mmWave systems using analog antenna arrays, because of the inherent non-convexity in the control of the phase shifters. In this paper, we develop a recursive beam tracking algorithm which can simultaneously achieve fast tracking speed, high tracking accuracy, low complexity, and low pilot overhead. In static scenarios, this algorithm converges to the minimum Cramer-Rao lower bound (CRLB) of beam tracking with high probability. In dynamic scenarios, even at SNRs as low as 0dB, our algorithm is capable of tracking a mobile moving randomly at an absolute angular velocity of 1020 degrees per second, using only 5 pilot symbols per second. If combining with a simple TDMA pilot pattern, this algorithm can track hundreds of high-speed mobiles in 5G configurations. Our simulations show that the tracking performance of this algorithm is much better than several state-of-the-art algorithms.
机译:毫米波(mmWave)通信的方向性在为例如高速车辆,火车和UAV上的快速移动的移动终端提供服务时提出了重大挑战。在使用模拟天线阵列的mmWave系统中,由于移相器的控制固有的非凸性,这一挑战更加严峻。在本文中,我们开发了一种可同时实现快速跟踪速度,高跟踪精度,低复杂度和低导频开销的递归波束跟踪算法。在静态情况下,此算法以很高的概率收敛到波束跟踪的最小Cramer-Rao下界(CRLB)。在动态情况下,即使在SNR低至0dB的情况下,我们的算法也能够以每秒1020度的绝对角速度跟踪移动的随机移动,而每秒仅使用5个导频符号。如果与简单的TDMA导频模式结合使用,该算法可以跟踪5G配置中的数百个高速移动设备。我们的仿真表明,该算法的跟踪性能远优于几种最新算法。

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