Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
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 …
Design and evaluation of the optimal cache allocation for content-centric networking
Content-centric networking (CCN) is a promising framework to rebuild the Internet's
forwarding substrate around the concept of content. CCN advocates ubiquitous in-network …
forwarding substrate around the concept of content. CCN advocates ubiquitous in-network …
An NDN IoT content distribution model with network coding enhanced forwarding strategy for 5G
The challenging requirements of fifth-generation (5G) Internet-of-Things (IoT) applications
have motivated a desired need for feasible network architecture, while Named Data …
have motivated a desired need for feasible network architecture, while Named Data …
Enhancing video rate adaptation with mobile edge computing and caching in software-defined mobile networks
Recent advances in software-defined mobile networks (SDMNs), in-network caching, and
mobile edge computing (MEC) can have significant effects on video services in next …
mobile edge computing (MEC) can have significant effects on video services in next …
A fog caching scheme enabled by ICN for IoT environments
Y Hua, L Guan, KG Kyriakopoulos - Future Generation Computer Systems, 2020 - Elsevier
The rapid growth in computation and processing power of end-user devices has transitioned
network functionalities from the core network to the Fog, thus, reducing response times and …
network functionalities from the core network to the Fog, thus, reducing response times and …
A functional taxonomy of caching schemes: Towards guided designs in information-centric networks
Abstract Information Centric Networking (ICN) is a develo** paradigm, poised to transform
the Internet's architecture. At its core, ICN focuses on efficient content dissemination and …
the Internet's architecture. At its core, ICN focuses on efficient content dissemination and …
A proactive transport mechanism with explicit congestion notification for NDN
Named Data Networking (NDN) shifts the communication paradigm from the quest of where
the content is to what content is to be consumed. In such a new Internet architecture …
the content is to what content is to be consumed. In such a new Internet architecture …
NetCodCCN: A network coding approach for content-centric networks
Content-Centric Networking (CCN) naturally supports multi-path communication, as it allows
the simultaneous use of multiple interfaces (eg LTE and WiFi). When multiple sources and …
the simultaneous use of multiple interfaces (eg LTE and WiFi). When multiple sources and …
Adaptive video streaming with network coding enabled named data networking
The fast and huge increase of Internet traffic motivates the development of new
communication methods that can deal with the growing volume of data traffic. To this aim …
communication methods that can deal with the growing volume of data traffic. To this aim …