The sparsity and the severe attenuation of millimeter-wave (mmWave) channel imply that highly directional communication is needed. The narrow beam produced by large array requires accurate alignment, which is difficult to achieve when serving fast-moving users. In this paper, we focus on accurate two-dimensional (2D) beam and channel tracking problem aiming at minimizing exploration overhead and tracking error. Using a typical frame structure with periodic exploration and communication, a proven minimum overhead of exploration is provided first. Then tracking algorithms are designed for three types of channels with different dynamic properties. It is proved that the algorithms for quasi-static channels and channels in Dynamic Case I are optimal in approaching the minimum Cramer-Rao lower bound (CRLB). The computational complexity of our algorithms is analyzed showing their efficiency, and simulation results verify their advantages in both tracking error and tracking speed.
翻译:宽度和严重减弱毫米波(mmWave)频道意味着需要高度方向通信。大型阵列产生的窄梁需要精确的对齐,而为快速移动的用户提供服务时很难做到这一点。在本文中,我们侧重于精确的二维(2D)波束和频道跟踪问题,以尽量减少勘探的间接费用和跟踪错误。首先利用一个有定期勘探和通信的典型框架结构,提供经证明的最低勘探间接费用。然后,跟踪算法是为三种具有不同动态特性的频道设计的。事实证明,动态一号案准静态频道和频道的算法最符合最起码的Cramer-Rao较低界限(CRLB)的算法。我们算法的计算复杂性正在分析,以显示其效率,模拟结果则验证其在追踪错误和跟踪速度方面的优势。