Authors
Yanxiang Jiang, Miaoli Ma, Mehdi Bennis, Fu-Chun Zheng, Xiaohu You
Publication date
2018/11/11
Journal
IEEE Transactions on Communications
Volume
67
Issue
2
Pages
1268-1283
Publisher
IEEE
Description
In this paper, the edge caching problem in fog radio access network (F-RAN) is investigated. By maximizing the overall cache hit rate, the edge caching optimization problem is formulated to find the optimal policy. Content popularity in terms of time and space is considered from the perspective of regional users. We propose an online content popularity prediction algorithm by leveraging the content features and user preferences, and an offline user preference learning algorithm by using the online gradient descent (OGD) method and the follow the (proximally) regularized leader (FTRL-Proximal) method. Our proposed edge caching policy not only can promptly predict the future content popularity in an online fashion with low complexity, but also can track the content popularity with spatial and temporal popularity dynamic in time without delay. Furthermore, we design two learning-based edge caching architectures …
Total citations
20192020202120222023202426364138299
Scholar articles
Y Jiang, M Ma, M Bennis, FC Zheng, X You - IEEE Transactions on Communications, 2018