Green resource allocation based on deep reinforcement learning in content-centric IoT
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …
Adaptive federated deep reinforcement learning for proactive content caching in edge computing
With the aggravation of data explosion and backhaul loads on 5 G edge network, it is difficult
for traditional centralized cloud to meet the low latency requirements for content access. The …
for traditional centralized cloud to meet the low latency requirements for content access. The …
A data-driven approach to improve customer churn prediction based on telecom customer segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
Distributed reinforcement learning for privacy-preserving dynamic edge caching
Mobile edge computing (MEC) is a prominent computing paradigm which expands the
application fields of wireless communication. Due to the limitation of the capacities of user …
application fields of wireless communication. Due to the limitation of the capacities of user …
A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges
Caching content at the edge network is a popular and effective technique widely deployed to
alleviate the burden of network backhaul, shorten service delay, and improve service quality …
alleviate the burden of network backhaul, shorten service delay, and improve service quality …
An efficient content popularity prediction of privacy preserving based on federated learning and wasserstein gan
To relieve the high backhaul load and long transmission time caused by the huge mobile
data traffic, caching devices are deployed at the edge of mobile networks. The key to …
data traffic, caching devices are deployed at the edge of mobile networks. The key to …
Caching placement with recommendation systems for cache-enabled mobile social networks
Caching popular contents at user devices and sharing the cached content among users is
one promising solution to alleviate the heavy base station burden in mobile social networks …
one promising solution to alleviate the heavy base station burden in mobile social networks …
Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloud
In social media, a huge number of worldwide data objects are posted every day. The
contents of these data objects include text, links, images, audio, and videos which could be …
contents of these data objects include text, links, images, audio, and videos which could be …
Cost effective dynamic data placement for efficient access of social networks
Social networks boast a huge number of worldwide users who join, connect, and publish
various content, often very large, eg videos, images etc. For such very large-scale data …
various content, often very large, eg videos, images etc. For such very large-scale data …
Data sharing in VANETs based on evolutionary fuzzy game
J Liu, X Wang, G Yue, S Shen - Future Generation Computer Systems, 2018 - Elsevier
There is a growing interest in enabling sharing data transmissions in Vehicular Ad hoc
Networks (VANETs). However, due to the constant link disconnections and limited effective …
Networks (VANETs). However, due to the constant link disconnections and limited effective …