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A Probe-then-Refine Beam Tracking Algorithm for Millimeter Wave MISO Systems

机译:毫米波MISO系统的先探后精波束跟踪算法

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This paper is concerned with beam tracking problem in millimeter wave communication systems. We use a Markov process to describe the evolution of the beam steering angle, and its temporal correlation is characterized by a transition probability matrix. A two-stage beam tracking algorithm, termed probe-then-refine (PTR), is proposed. In the probing stage, a coarse range of the beam steering angle is determined via a set of training beams with a fixed beamwidth. In the refining stage, the attained coarse range is further divided using a multi-stage hierarchical codebook-based approach. The successful tracking probability, average required number of measurements and average energy consumption of the proposed PTR algorithm are derived, respectively. By exploiting the a priori transition probabilities, the optimal probing beamwidth that can minimize the average number of measurements of the PTR algorithm is obtained. Numerical results show that our PTR algorithm significantly reduces the required number of measurements and achieves a much better tracking performance relative to the benchmark scheme.
机译:本文涉及毫米波通信系统中的波束跟踪问题。我们使用马尔可夫过程来描述光束转向角的演变,其时间相关性由过渡概率矩阵来表征。提出了一种两阶段的波束跟踪算法,称为探测-再细化(PTR)。在探测阶段,光束转向角的粗略范围是通过一组固定光束宽度的训练光束确定的。在提炼阶段,使用基于多级分层码本的方法进一步划分获得的粗略范围。分别推导了所提出的PTR算法的成功跟踪概率,平均所需测量次数和平均能耗。通过利用先验转移概率,可以获得可以使PTR算法的平均测量次数最小化的最佳探测波束宽度。数值结果表明,相对于基准方案,我们的PTR算法大大减少了所需的测量次数,并实现了更好的跟踪性能。

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