Coded Caching with Optimized Shared-Cache Sizes

Emanuele Parrinello, P. Elia
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引用次数: 13

Abstract

This work studies the K-user broadcast channel where each user is assisted by one of $\Lambda$ caches with a cumulative memory constraint that is equal to t times the size of the library, and where each cache serves an arbitrary number of users. In this setting, under the assumption of uncoded cache placement, no prior scheme is known to achieve a sum degrees of freedom $(\mathrm{D}\mathrm{o}$F) of $t+1$, other than in the uniform case where all caches serve an equal number of users. We here show for the first time that allowing an optimized memory allocation across the caches as a function of the number of users served per cache, provides for the aforementioned DoF. A subsequent index-coding based converse proves that this performance can be close to optimal for bounded values of t.
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优化共享缓存大小的编码缓存
这项工作研究了k用户广播通道,其中每个用户由一个$\Lambda$缓存辅助,其累积内存约束等于库大小的t倍,并且每个缓存为任意数量的用户提供服务。在此设置中,在假定未编码缓存放置的情况下,除了所有缓存服务相同数量的用户的统一情况外,已知没有任何先前的方案可以实现$t+1$的和自由度$(\ mathm {D}\ mathm {o}$F)。我们在这里首次展示了允许跨缓存的优化内存分配作为每个缓存服务的用户数量的函数,提供了上述DoF。随后基于索引编码的反向证明,对于有界的t值,这种性能可以接近最优。
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