Bayesian Poisson Factorization With Side Information for User Interest Prediction in Hierarchical Edge-Caching Systems
Edge-caching is an effective solution to cope with the unprecedented data traffic growth by storing contents in the vicinity of end-users. In this paper, we formulate a hierarchical caching policy where the end-users and cellular base station (BS) are equipped with limited cache capacity with the ob...
Main Authors: | Sajad Mehrizi, Symeon Chatzinotas |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Open Journal of the Communications Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9733929/ |
Similar Items
-
A Bayesian Poisson–Gaussian Process Model for Popularity Learning in Edge-Caching Networks
by: Sajad Mehrizi, et al.
Published: (2019-01-01) -
Trend-Aware Proactive Caching via Tensor Train Decomposition: A Bayesian Viewpoint
by: Sajad Mehrizi, et al.
Published: (2021-01-01) -
Content-Centric Mobile Edge Caching
by: Tiankui Zhang, et al.
Published: (2020-01-01) -
Exploiting Transmission and Caching Diversity in Cache-Enabled User-Centric Network: Analysis and Optimization
by: Ying Chen, et al.
Published: (2019-01-01) -
Incentivizing Mobile Video Users With Data Sponsoring and Edge Caching
by: Cong Zhang, et al.
Published: (2020-01-01)