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:预计非地球网络(NTN)将成为第六代(6G)网络的重要组成部分,提供无处不在、连续和可扩展的服务,然而,NTN带来了一些新问题,如长期的传播延迟、高多普勒轮班、频繁的交接情景、与现有服务的频谱共享、复杂的光束和资源分配,以及为利用其优势而必须处理的更多问题。为了应对这些挑战,本文件提出人工智能(AI)作为潜在解决方案,因为它能够捕捉不同网络参数之间的复杂关联,以解决这些问题,并提供实用框架,在现实世界情景中具有竞争性性能。在本文件中,我们将概述AI作为NTN的扶持工具,讨论潜在的研究范围和与使用AI驱动的NTN相关的挑战。</s>