Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation (6G) networks, providing ubiquitous, continuous, and scalable services. Nevertheless, NTN comes with some new issues, such as long propagation delay, high Doppler shift, frequent handover scenarios, spectrum sharing with existing services, intricate beam and resource allocation, and more, that must be handled for exploiting its advantages. To address these challenges, this paper presents Artificial Intelligence (AI) as a potential solution due to its ability to capture complex correlations among different network parameters to solve these issues and offer a practical framework with competitive performances in real-world scenarios. In this paper, we will provide an overview of AI as an enabling tool for NTN, discussing potential research scopes and the challenges associated with utilizing AI-enabled NTN.

翻译：非地面网络（NTN）预计将成为第六代（6G）网络的关键组成部分，提供泛在、持续且可扩展的服务。然而，NTN也带来了一些新问题，例如长传播延迟、高多普勒频移、频繁切换场景、与现有服务的频谱共享、复杂的波束与资源分配等，这些问题必须得到解决才能充分发挥其优势。为应对这些挑战，本文提出将人工智能（AI）作为潜在解决方案，因其能够捕获不同网络参数之间的复杂相关性，从而解决这些问题，并在实际场景中提供具有竞争性能的实用框架。本文将概述AI作为NTN使能工具的研究现状，探讨潜在的研究方向以及与利用AI赋能的NTN相关的挑战。