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Coded caching is a technique that leverages locally cached contents at theend users to reduce the network's peak-time communication load. Coded cachinghas been shown to achieve significant performance gains compared to uncodedschemes and is thus considered a promising technique to boost performance infuture networks by effectively trading off bandwidth for storage. The originalcoded caching model introduced by Maddah-Ali and Niesen does not consider thecase where some users involved in the placement phase, may be offline duringthe delivery phase. If so, the delivery may not start or it may be wasteful toperform the delivery with fictitious demands for the offline users. Inaddition, the active users may require their demand to be kept private. Thispaper formally defines a coded caching system where some users are offline, andinvestigates the optimal performance with and without demand privacy againstcolluding users. For this novel coded caching model with offline users,achievable and converse bounds are proposed. These bounds are shown to meetunder certain conditions, and otherwise to be to within a constantmultiplicative gap of one another. In addition, the proposed achievable schemeshave lower subpacketization and lower load compared to baseline schemes (thattrivially extend known schemes so as to accommodate for privacy) in some memoryregimes.

On Coded Caching Systems with Offline Users, with and without Demand Privacy against Colluding Users