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Recent popularity of mobile devices increased the demand for mobile networkservices and applications that require minimal delay. 5G mobile networks areexpected to provide much lesser delay than the present mobile networks. One ofthe conventional ways for decreasing latency is caching content closer to endusers. However, currently deployed methods are not effective enough. In thispaper, we propose a new astute in-network caching framework that is able tosmartly predict subsequent user requests and prefetch necessary contents toremarkably decrease the end-to-end latency in 5G mobile networks. We employsemantic inference by edge computing, deduce what the end-user may request inthe sequel and prefetch the content. We validate the proposed technique byemulations, compare it with the state of the art and present impressive gains.

A Framework for Semantic In-network Caching and Prefetching in 5G Mobile Networks