论文标题
使用802.11AY进行MMWave Massive Mimo的最佳光束训练
Optimal Beam Training for mmWave Massive MIMO using 802.11ay
论文作者
论文摘要
802.11 AD的光束训练是一项有助于在现有的AWV代码书的约束下加速模拟加权矢量（AWV）选择过程的技术。但是，由于天线的复杂性较高，5G毫米波（MMWAVE）多输入 - 型号输出（MIMO）系统对这项新技术带来了挑战。因此，现有的11AD代码簿甚至不太可能包括近乎最佳的AWV，并且数据速率将严重降解。为了应对这种情况，本文提出了一种新的光束训练协议，并结合了最新的压缩传感通道估计，以找到AWV以最大程度地提高最佳数据速率。实施仿真以显示通过11 AD达到的AWV的数据率比提出的协议要差。
Beam training of 802.11 ad is a technology that helps accelerate the analog weighting vector (AWV) selection process under the constraint of the existing code-book for AWV. However, 5G milli-meter wave (mmWave) multiple-input-multiple-output (MIMO) system brings challenges to this new technology due to the higher order of complexity of antennae. Hence, the existing codebook of 11ad is unlikely to even include the near-optimal AWV and the data rate will degrade severely. To cope with this situation, this paper proposed a new beam training protocol combined with the state-of-the-art compressed sensing channel estimation in order to find the AWV to maximize the optimal data-rate. Simulation is implemented to show the data-rate of AWV achieved by 11 ad is worse than the proposed protocol.
