The proliferation of connected vehicles along with the high demand for rich multimedia services constitute key challenges for the emerging 5G-enabled vehicular networks. These challenges include, but are not limited to, high spectral efficiency and low latency requirements. Recently, the integration of cache-enabled networks with non-orthogonal multiple access (NOMA) has been shown to reduce the content delivery time and traffic congestion in wireless networks. Ac-cordingly, in this article, we envisage cache-aided NOMA as a technology facilitator for 5G-enabled vehicular networks. In particular, we present a cache-aided NOMA architecture, which can address some of the aforementioned challenges in these networks. We demonstrate that the spectral efficiency gain of the proposed architecture, which depends largely on the cached contents, significantly outperforms that of conventional vehicular networks. Finally, we provide deep insights into the challenges, opportunities, and future research trends that will enable the practical realization of cache-aided NOMA in 5G-enabled vehicular networks.

中文翻译：

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支持 5G 的车载网络具有无线缓存的非正交多路访问

联网车辆的激增以及对丰富多媒体服务的高需求构成了新兴的 5G 车载网络面临的主要挑战。这些挑战包括但不限于高频谱效率和低延迟要求。最近，支持缓存的网络与非正交多路访问 (NOMA) 的集成已被证明可以减少无线网络中的内容交付时间和流量拥塞。因此，在本文中，我们将缓存辅助 NOMA 设想为支持 5G 的车载网络的技术推动者。特别是，我们提出了一种缓存辅助的 NOMA 架构，它可以解决这些网络中的一些上述挑战。我们证明了所提出架构的频谱效率增益，这在很大程度上取决于缓存的内容，明显优于传统车载网络。最后，我们提供了对挑战、机遇和未来研究趋势的深入见解，这些趋势将使缓存辅助 NOMA 在支持 5G 的车载网络中得以实际实现。