Implicit Coordination of Caches in Small Cell Networks under Unknown Popularity Profiles

TL;DR

This paper introduces distributed cache coordination policies for small cell networks that do not require communication or prior popularity knowledge, using an analytical approach that closely matches simulations and outperforms existing methods.

Contribution

It presents a novel class of fully distributed caching policies and an analytical methodology to evaluate their performance in small cell networks.

Findings

Policies achieve near-optimal performance in simulations.

Outperform state-of-the-art dynamic caching policies.

Analytical predictions closely match simulation results.

Abstract

We focus on a dense cellular network, in which a limited-size cache is available at every Base Station (BS). In order to optimize the overall performance of the system in such scenario, where a significant fraction of the users is covered by several BSs, a tight coordination among nearby caches is needed. To this end, this pape introduces a class of simple and fully distributed caching policies, which require neither direct communication among BSs, nor a priori knowledge of content popularity. Furthermore, we propose a novel approximate analytical methodology to assess the performance of interacting caches under such policies. Our approach builds upon the well known characteristic time approximation and provides predictions that are surprisingly accurate (hardly distinguishable from the simulations) in most of the scenarios. Both synthetic and trace-driven results show that the our caching policies achieve excellent performance (in some cases provably optimal). They outperform state-of-the-art dynamic policies for interacting caches, and, in some cases, also the greedy content placement, which is known to be the best performing polynomial algorithm under static and perfectly-known content popularity profiles.