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We study the decentralized caching scheme in a two-layer network, whichincludes a sever, multiple helpers, and multiple users. Basically, the proposedcaching scheme consists of two phases, i.e, placement phase and delivery phase.In the placement phase, each helper/user randomly and independently selectscontents from the server and stores them into its memory. In the deliveryphase, the users request contents from the server, and the server satisfieseach user through a helper. Different from the existing caching scheme, theproposed caching scheme takes into account the pre-stored contents at bothhelpers and users in the placement phase to design the delivery phase.Meanwhile, the proposed caching scheme exploits index coding in the deliveryphase and leverages multicast opportunities, even when different users requestdistinct contents. Besides, we analytically characterize the performance limitof the proposed caching scheme, and show that the achievable rate region of theproposed caching scheme lies within constant margins to theinformation-theoretic optimum. In particular, the multiplicative and additivefactors are carefully sharpened to be $\frac{1}{48}$ and $4$ respectively, bothof which are better than the state of arts. Finally, simulation resultsdemonstrate the advantage of the proposed caching scheme compared with thestate of arts.

Decentralized Caching Schemes and Performance Limits in Two-layer Networks