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This article introduces a novel family of decentralised caching policies,applicable to wireless networks with finite storage at the edge-nodes(stations). These policies, that are based on the Least-Recently-Usedreplacement principle, are here referred to as spatial multi-LRU. They updatecache inventories in a way that provides content diversity to users who arecovered by, and thus have access to, more than one station. Two variations areproposed, the multi-LRU-One and -All, which differ in the number of replicasinserted in the involved caches. We analyse their performance under two typesof traffic demand, the Independent Reference Model (IRM) and a model thatexhibits temporal locality. For IRM, we propose a Che-like approximation topredict the hit probability, which gives very accurate results. Numericalevaluations show that the performance of multi-LRU increases the more themulti-coverage areas increase, and it is close to the performance ofcentralised policies, when multi-coverage is sufficient. For IRM traffic,multi-LRU-One is preferable to multi-LRU-All, whereas when the traffic exhibitstemporal locality the -All variation can perform better. Both variationsoutperform the simple LRU. When popularity knowledge is not accurate, the newpolicies can perform better than centralised ones.

Spatial multi-LRU: Distributed Caching for Wireless Networks with Coverage Overlaps