APPARATUS AND METHOD FOR DESIGNING A GRID-OF-BEAMS USING MACHINE LEARNING

Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment. 用于确定波束网格(GoB)的系统、方法、装置和计算机程序产品被提供。一种方法可以包括：收集用于训练神经网络的网络数据，使用所收集的数据来训练神经网络以学习评估将给定波束包括到波束网格(GoB)中的收益的非折扣累积奖励Q，迭代地应用经训练的神经网络来选择至少一个最优波束以包括在波束网格(GoB)中，以及从波束网格(GoB)中选择一个或多个波束以向用户设备进行发射或从用户设备接收传输。