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 …
A comprehensive survey of enabling and emerging technologies for social distancing—Part II: Emerging technologies and open issues
This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
Heterogeneous task offloading and resource allocations via deep recurrent reinforcement learning in partial observable multifog networks
As wireless services and applications become more sophisticated and require faster and
higher capacity networks, there is a need for an efficient management of the execution of …
higher capacity networks, there is a need for an efficient management of the execution of …
Wireless networked multirobot systems in smart factories
Smart manufacturing based on artificial intelligence and information communication
technology will become the main contributor to the digital economy of the upcoming …
technology will become the main contributor to the digital economy of the upcoming …
未来网络技术与发展趋势综述
黄韬， 刘江， 汪硕， 张晨， 刘韵洁 - 通信学报, 2021 - infocomm-journal.com
对面向2030 的未来网络领域的发展趋势进行了综述. 首先, 介绍了网络体系架构和试验设施领域
的研究进展; 其次, 从网络控制与编排, 网络深度可编程, 网络确定性服务, 网络计算存储一体化 …
的研究进展; 其次, 从网络控制与编排, 网络深度可编程, 网络确定性服务, 网络计算存储一体化 …
An adaptive wireless virtual reality framework in future wireless networks: A distributed learning approach
Wireless virtual reality (VR) is predicted to become a killer application in 5G and beyond,
which provides an immersive experience and revolutionizes the way people communicate. It …
which provides an immersive experience and revolutionizes the way people communicate. It …
Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues
In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …
Dynamic network slicing and resource allocation in mobile edge computing systems
The application of network slicing to mobile edge computing (MEC) systems has aroused
great interests from both academia and industry. However, the optimization of network …
great interests from both academia and industry. However, the optimization of network …
Customized slicing for 6G: Enforcing artificial intelligence on resource management
Next generation wireless networks are expected to support diverse vertical industries and
offer countless emerging use cases. To satisfy stringent requirements of diversified services …
offer countless emerging use cases. To satisfy stringent requirements of diversified services …
Mode selection and resource allocation in sliced fog radio access networks: A reinforcement learning approach
The mode selection and resource allocation in fog radio access networks (F-RANs) have
been advocated as key techniques to improve spectral and energy efficiency. In this paper …
been advocated as key techniques to improve spectral and energy efficiency. In this paper …