Online Learning to Cache and Recommend in the Next Generation Cellular Networks
Krishnendu S. Tharakan,
B. N. Bharath,
Vimal Bhatia
Abstract:An efficient caching can be achieved by predicting the popularity of the files accurately. It is well known that the popularity of a file can be nudged by using recommendation, and hence it can be estimated accurately leading to an efficient caching strategy. Motivated by this, in this paper, we consider the problem of joint caching and recommendation in a 5G and beyond heterogeneous network. We model the influence of recommendation on demands by a Probability Transition Matrix (PTM). The proposed framework co… Show more
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