论文标题
基于GMM的密码簿构建和FDD系统中的反馈编码
GMM-based Codebook Construction and Feedback Encoding in FDD Systems
论文作者
论文摘要
我们提出了一个基于高斯混合模型（GMM）的预编码器代码簿构建和反馈编码方案。在离线阶段，基站（BS）首先适合GMM上行链路（UL）训练样品。此后，它通过利用GMM的聚类功能来以无监督的方式设计代码书。我们设计一个GMM组件的一个代码簿条目。在在线阶段卸下GMM但不是移动终端（MT）的代码书后，MT使用GMM来确定最佳拟合代码簿条目。为此，MT不需要通道估计。取而代之的是，MT的观察信号用于评估GMM的每个组件对信号的负责。反馈由责任最高的GMM组件的索引组成，然后BS采用相应的代码簿条目。仿真结果表明，提出的代码簿设计和反馈编码方案优于常规的基于Lloyd聚类的代码书设计算法，尤其是在降低的飞行员开销的配置中。
We propose a precoder codebook construction and feedback encoding scheme which is based on Gaussian mixture models (GMMs). In an offline phase, the base station (BS) first fits a GMM to uplink (UL) training samples. Thereafter, it designs a codebook in an unsupervised manner by exploiting the GMM's clustering capability. We design one codebook entry per GMM component. After offloading the GMM-but not the codebook-to the mobile terminal (MT) in the online phase, the MT utilizes the GMM to determine the best fitting codebook entry. To this end, no channel estimation is necessary at the MT. Instead, the MT's observed signal is used to evaluate how responsible each component of the GMM is for the signal. The feedback consists of the index of the GMM component with the highest responsibility and the BS then employs the corresponding codebook entry. Simulation results show that the proposed codebook design and feedback encoding scheme outperforms conventional Lloyd clustering based codebook design algorithms, especially in configurations with reduced pilot overhead.
