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Caching at the base stations (BSs) has been widely adopted to reduce thedelivery delay and alleviate the backhaul traffic between BSs and the corenetwork. In this paper, we consider a collaborative content caching schemeamong BSs in cache-enabled multi-cell cooperative networks, where the requestedcontents can be obtained from the associated BS, the other collaborative BSs orthe core network. Novelly, we model the stochastic request traffic and derive aclosed form expression for the average delay per request based on multi-classprocessor sharing queuing theory. We then formulate a cooperative cachingoptimization problem of minimizing the average delay under the finite cachesize constraint at BSs and show it to be at least NP-complete. Furthermore, weprove it equivalent to the maximization of a monotone submodular functionsubject to matroid constraints, allowing us to adopt the common greedyalgorithm with 1/2 performance guarantee. A heuristic greedy caching strategyis also developed, achieving a better performance than the conventional greedysolution. Simulation results verify the accuracy of the analytical results anddemonstrate the performance gains obtained by our proposed caching scheme.

Delay Analysis and Optimization in Cache-enabled Multi-Cell Cooperative Networks