论文标题
对5G/6G体系结构和深度学习的融合的评论
A Review of the Convergence of 5G/6G Architecture and Deep Learning
论文作者
论文摘要
5G建筑和深度学习的融合在无线通信和人工智能领域都获得了许多研究兴趣。这是因为深度学习技术已被确定为构成5G体系结构的5G技术的潜在驱动力。因此，关于5G架构和深度学习的融合进行了广泛的调查。但是，大多数现有的调查论文主要集中于深度学习如何与特定的5G技术融合，因此不涵盖5G架构的全部范围。尽管最近有一份调查论文似乎很强大，但对该论文的评论表明，它的结构不佳，无法专门涵盖深度学习和5G技术的融合。因此，本文概述了关键5G技术和深度学习的融合。讨论了这种融合所面临的挑战。此外，还讨论了对未来6G体系结构的简要概述，以及如何与深度学习融合。
The convergence of 5G architecture and deep learning has gained a lot of research interests in both the fields of wireless communication and artificial intelligence. This is because deep learning technologies have been identified to be the potential driver of the 5G technologies, that make up the 5G architecture. Hence, there have been extensive surveys on the convergence of 5G architecture and deep learning. However, most of the existing survey papers mainly focused on how deep learning can converge with a specific 5G technology, thus, not covering the full spectrum of the 5G architecture. Although there is a recent survey paper that appears to be robust, a review of that paper shows that it is not well structured to specifically cover the convergence of deep learning and the 5G technologies. Hence, this paper provides a robust overview of the convergence of the key 5G technologies and deep learning. The challenges faced by such convergence are discussed. In addition, a brief overview of the future 6G architecture, and how it can converge with deep learning is also discussed.
