关于大规模MIMO和内容交付编码缓存的互补作用

K. Ngo, Sheng Yang, M. Kobayashi, Kaibin Huang
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引用次数: 2

摘要

在本文中,我们扩展了这个问题的答案:大规模MIMO和编码缓存的收益是否累积?在具有瑞利准静态衰落的下行MIMO信道的简单设置中。在一些实际的假设下,大规模MIMO和编码缓存的可伸缩性与用户数量无关。另一方面,我们展示了在此设置中,两者的组合在大多数实际场景中提供了可扩展的解决方案。因此,MIMO和编码缓存确实是互补的,特别是在最佳功率分配下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the complementary roles of massive MIMO and coded caching for content delivery
In this paper, we extend the answer for the question: Do the gains from massive MIMO and coded caching cumulate? in a simple setting of downlink MIMO channel with Rayleigh quasi-static fading. Under some practical assumptions, the scalability of massive MIMO and coded caching alone with the number of users does not hold. On the other hand, we show that in this setting, the combination of both provides a scalable solution in most practical scenarios. Therefore, MIMO and coded caching are indeed complementary, especially under an optimal power allocation.
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