A Bayesian Poisson–Gaussian Process Model for Popularity Learning in Edge-Caching Networks

A Bayesian Poisson–Gaussian Process Model for Popularity Learning in Edge-Caching Networks

Edge-caching is recognized as an efficient technique for future cellular networks to improve network capacity and user-perceived quality of experience. To enhance the performance of caching systems, designing an accurate content request prediction algorithm plays an important role. In this paper, we...

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Bibliographic Details
Main Authors: Sajad Mehrizi, Anestis Tsakmalis, Symeon Chatzinotas, Bjorn Ottersten
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Popularity prediction
content features
Poisson distribution
Gaussian process
Bayesian learning
Markov chain Monte Carlo
Online Access:https://ieeexplore.ieee.org/document/8758090/

Internet

https://ieeexplore.ieee.org/document/8758090/

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