Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …
sources closer to the end user improving responsiveness and reducing backhaul traffic …
Federated deep reinforcement learning for Internet of Things with decentralized cooperative edge caching
Edge caching is an emerging technology for addressing massive content access in mobile
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
Joint service caching and task offloading for mobile edge computing in dense networks
Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized
cloud to the network edge, thereby meeting the latency requirements of many emerging …
cloud to the network edge, thereby meeting the latency requirements of many emerging …
Multi-objective parallel task offloading and content caching in D2D-aided MEC networks
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …
content caching and D2D links, the edge server and nearby mobile devices can provide task …
Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
Video caching, analytics, and delivery at the wireless edge: A survey and future directions
Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet
connectivity to meet the requirements of different applications, ranging from virtual reality to …
connectivity to meet the requirements of different applications, ranging from virtual reality to …
Optimal and scalable caching for 5G using reinforcement learning of space-time popularities
A Sadeghi, F Sheikholeslami… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Small basestations (SBs) equipped with caching units have potential to handle the
unprecedented demand growth in heterogeneous networks. Through low-rate, backhaul …
unprecedented demand growth in heterogeneous networks. Through low-rate, backhaul …
CREAT: Blockchain-assisted compression algorithm of federated learning for content caching in edge computing
Edge computing architectures can help us quickly process the data collected by Internet of
Things (IoT) and caching files to edge nodes can speed up the response speed of IoT …
Things (IoT) and caching files to edge nodes can speed up the response speed of IoT …
Mobile edge computing for V2X architectures and applications: A survey
In mobile environments, with the help of larger bandwidths and cloud computing solutions,
any task can be offloaded from a mobile user equipment to be handled remotely. However …
any task can be offloaded from a mobile user equipment to be handled remotely. However …