论文标题
毫米波梁搜索，并迭代停用和梁移动
Millimeter-Wave Beam Search with Iterative Deactivation and Beam Shifting
论文作者
论文摘要
毫米波（MMWave）通信依赖于高度方向的光束来应对严重的传播损失。在本文中，提出了一种基于空间扫描的自适应束搜索算法，称为迭代停用和梁移动（IDB），提出了用于MMWave光束对齐的。 IDB不需要提前的信息，例如信噪比（SNR）和通道统计，并将训练开销与未知SNR匹配以实现令人满意的性能。该算法是通过基于均匀不当的贝叶斯概率标准逐渐停用光束来逐渐停用光束的工作，可以通过低复杂性操作来实现光束停用，以计算低级多项式或通过查找桌子进行计算。数值结果证实，IDB适应不同的传播方案，例如视线和非视线以及不同的SNR。与具有固定训练开销的现有非自适应算法相比，它可以在训练开销和光束对准精度之间实现更好的权衡。
Millimeter Wave (mmWave) communications rely on highly directional beams to combat severe propagation loss. In this paper, an adaptive beam search algorithm based on spatial scanning, called Iterative Deactivation and Beam Shifting (IDBS), is proposed for mmWave beam alignment. IDBS does not require advance information such as the Signal-to-Noise Ratio (SNR) and channel statistics, and matches the training overhead to the unknown SNR to achieve satisfactory performance. The algorithm works by gradually deactivating beams using a Bayesian probability criterion based on a uniform improper prior, where beam deactivation can be implemented with low-complexity operations that require computing a low-degree polynomial or a search through a look-up table. Numerical results confirm that IDBS adapts to different propagation scenarios such as line-of-sight and non-line-of-sight and to different SNRs. It can achieve better tradeoffs between training overhead and beam alignment accuracy than existing non-adaptive algorithms that have fixed training overheads.
