Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G
Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G
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DOI：
10.1109/mwc.001.1900323
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发表时间：
2020-04-01
影响因子：
12.9
通讯作者：
Zhang, Jianzhong (Charlie)
中科院分区：
文献类型：
--
作者：
Shafin, Rubayet;Liu, Lingjia;Zhang, Jianzhong (Charlie)
移动网络运营商 (MNO) 正在将其传统宏蜂窝网络与较短范围的小区（例如室外微微小区）覆盖。由此带来的网络复杂性的增加在运营费用、时间和规划和管理的劳动力方面产生了大量的开销。人工智能 (AI) 为移动网络运营商提供了以更有机、更经济高效的方式运营网络的潜力。我们认为，在第五代 (5G) 及更高版本中部署人工智能需要克服鲁棒性、性能和复杂性方面的重大技术障碍。我们概述了未来的研究方向，确定了前五项挑战，并提出了一个可能的路线图，以实现超越 5G 和第六代 (6G) 网络的人工智能蜂窝网络愿景。
Mobile network operators (MNOs) are in the process of overlaying their conventional macro cellular networks with shorter range cells such as outdoor pico cells. The resultant increase in network complexity creates substantial overhead in terms of operating expenses, time, and labor for their planning and management. Artificial intelligence (AI) offers the potential for MNOs to operate their networks in a more organic and cost-efficient manner. We argue that deploying AI in fifth generation (5G) and beyond will require surmounting significant technical barriers in terms of robustness, performance, and complexity. We outline future research directions, identify top five challenges, and present a possible roadmap to realize the vision of AI-enabled cellular networks for Beyond- 5G and sixth generation (6G) networks.