Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

With the rapid growth in the data and processing over the cloud, it has become easier to
access those data. On the other hand, it poses many technical and security challenges to the …

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 …

In this article, the edge caching policy in fog radio access networks (F-RANs) is optimized
via deep learning. Considering that it is hard for fog access points (F-APs) to collect sufficient …

Caching the most popular contents at the wireless network edge such as small-cell base
stations (SBSs) is a smart way of reducing duplicated content transmissions and offloading …

Mobile terminal users applications, such as smartphones or laptops, have frequent
computational task demanding but limited battery power. Edge computing is introduced to …

With the deployment of video streaming in 4G/5G mobile network, Content Delivery
Networks (CDN) are extending to the network edge to provide end-users better Quality of …

Content popularity prediction plays an important role on proactive content caching. Different
to most of the existing works which focus on improving the popularity prediction accuracy, in …

In this paper, the joint edge caching and content recommendation problem for the case of
inconsistent file sizes is investigated for fog radio access networks (F-RANs). Firstly, we …

In this paper, the content popularity prediction problem in fog radio access networks (F-
RANs) is investigated. In order to obtain accurate prediction with low complexity, we propose …