论文标题
如何定义传播环境语义及其在基于散射器的光束预测中的应用
How to Define the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Prediction
论文作者
论文摘要
鉴于传播环境直接确定渠道褪色，也可以借助环境信息来解决应用程序任务。这项工作受到面向任务的语义通信和机器学习（ML）动力环境通道映射方法的启发，旨在从语义级别提供对环境的新看法，该语义级别将传播环境语义（PES）定义为有限的传播环境语义符号（PESS），以实现多样化的应用程序任务。将PESS提取为以通道属性为基础的任务。为了进行方法验证，PES辅助束预测（PESABP）以非线视线（NLOS）表示。环境特征和图形是为通道质量评估和目标散射器检测最大功率检测的语义动作提供的，最大功率可以分别获得0.92和0.9的精度，并节省了超过87％的时间成本。
In view of the propagation environment directly determining the channel fading, the application tasks can also be solved with the aid of the environment information. Inspired by task-oriented semantic communication and machine learning (ML) powered environment-channel mapping methods, this work aims to provide a new view of the environment from the semantic level, which defines the propagation environment semantics (PES) as a limited set of propagation environment semantic symbols (PESS) for diverse application tasks. The PESS is extracted oriented to the tasks with channel properties as a foundation. For method validation, the PES-aided beam prediction (PESaBP) is presented in non-line-of-sight (NLOS). The PESS of environment features and graphs are given for the semantic actions of channel quality evaluation and target scatterer detection of maximum power, which can obtain 0.92 and 0.9 precision, respectively, and save over 87% of time cost.
