Millimeter-wave (mm-wave) small cells have been considered an effective technique for significantly improving the data rates of future networks. More particularly, this article investigates the potential benefits of mm-wave small-cell networks from the perspective of nonorthogonal multiple access (NOMA) and wireless caching. We highlight a range of innovative resource management solutions conceived for mm-wave small-cell networks by invoking adaptive learning. Finally, several promising future research directions for these networks are identified.

中文翻译：

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下一代毫米波小型蜂窝网络：多址接入、缓存和资源管理

毫米波（mm-wave）小基站被认为是显着提高未来网络数据速率的有效技术。更具体地说，本文从非正交多址 (NOMA) 和无线缓存的角度研究了毫米波小型蜂窝网络的潜在优势。我们重点介绍了一系列通过调用自适应学习为毫米波小蜂窝网络构思的创新资源管理解决方案。最后，确定了这些网络的几个有前途的未来研究方向。