Delay-Aware Coded Caching for Mobile Users

TL;DR

This paper proposes delay-aware coded caching policies for mobile users in small cell networks, optimizing cache usage and minimizing user delay and data served by macro cells under delay constraints.

Contribution

It introduces novel delay-aware caching strategies that consider file popularity and delay constraints, addressing cache limitations and macro-cell serving scenarios.

Findings

Reduced average rebuffering delay for mobile users.

Optimized cache placement balancing delay and cache capacity.

Minimized data load on macro-cell base stations.

Abstract

In this work, we study the trade-off between the cache capacity and the user delay for a cooperative Small Base Station (SBS) coded caching system with mobile users. First, a delay-aware coded caching policy, which takes into account the popularity of the files and the maximum re-buffering delay to minimize the average rebuffering delay of a mobile user under a given cache capacity constraint is introduced. Subsequently, we address a scenario where some files are served by the macro-cell base station (MBS) when the cache capacity of the SBSs is not sufficient to store all the files in the library. For this scenario, we develop a coded caching policy that minimizes the average amount of data served by the MBS under an average re-buffering delay constraint.