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 …
Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things
Nowadays, driven by the rapid development of smart mobile equipments and 5G network
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …
technologies, the application scenarios of Internet of Things (IoT) technology are becoming …
An intelligent proposed model for task offloading in fog‐cloud collaboration using logistics regression
Smart applications and intelligent systems are being developed that are self‐reliant,
adaptive, and knowledge‐based in nature. Emergency and disaster management …
adaptive, and knowledge‐based in nature. Emergency and disaster management …
Dynamic RAN slicing for service-oriented vehicular networks via constrained learning
In this paper, we investigate a radio access network (RAN) slicing problem for Internet of
vehicles (IoV) services with different quality of service (QoS) requirements, in which multiple …
vehicles (IoV) services with different quality of service (QoS) requirements, in which multiple …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
Optimizing federated learning with deep reinforcement learning for digital twin empowered industrial IoT
W Yang, W Xiang, Y Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The accelerated development of the Industrial Internet of Things (IIoT) is catalyzing the
digitalization of industrial production to achieve Industry 4.0. In this article, we propose a …
digitalization of industrial production to achieve Industry 4.0. In this article, we propose a …
Energy-efficient joint task offloading and resource allocation in OFDMA-based collaborative edge computing
Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …
storage resources to the edge of mobile network and provides rich services and applications …
Joint computation offloading and resource allocation for edge-cloud collaboration in internet of vehicles via deep reinforcement learning
Mobile edge computing (MEC) and cloud computing (CC) have been considered as the key
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
technologies to improve the task processing efficiency for Internet of Vehicles (IoV). In this …
Vehicular intelligence in 6G: Networking, communications, and computing
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …
predict that 6G will be the key driving force for information interaction and social life after …