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Coded caching with linear subpacketization is possible using Ruzsa-Szeméredi graphs

机译:使用Ruzsa-Szeméredi图可以对线性子分组进行编码缓存

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Coded caching is a problem where encoded broadcasts are used to satisfy users requesting popular files and having caching capabilities. Recent work by Maddah-Ali and Niesen showed that it is possible to satisfy a scaling number of users with only a constant number of broadcast transmissions by exploiting coding and caching. Unfortunately, all previous schemes required the splitting of files into an exponential number of packets before the significant coding gains of caching appeared. The question of what can be achieved with polynomial subpacketization (in the number of users) has been a central open problem in this area. We resolve this problem and present the first coded caching scheme with polynomial (in fact, linear) subpacketization. We obtain a number of transmissions that is not constant, but can be any polynomial in the number of users with an exponent arbitrarily close to zero. Our central technical tool is a direct connection between Ruzsa-Szeméredi graphs and coded caching schemes with linear file size.
机译:编码缓存是一个问题,其中编码广播用于满足用户请求流行文件并具有缓存功能的问题。 Maddah-Ali和Niesen的最新工作表明,通过利用编码和缓存,仅通过恒定数量的广播传输就可以满足一定数量的用户。不幸的是,所有先前的方案都要求在将显着的缓存编码收益出现之前,将文件拆分为指数级的数据包。多项式子分组化(在用户数量上)可以实现什么的问题一直是该领域的一个主要开放问题。我们解决了这个问题,并提出了具有多项式(实际上是线性)子分组化的第一个编码缓存方案。我们得到的传输数量不是恒定的,但是可以是指数为零的任意数量的用户数量的多项式。我们的核心技术工具是Ruzsa-Szeméredi图形与线性文件大小的编码缓存方案之间的直接连接。

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