A comprehensive survey of the tactile internet: State-of-the-art and research directions
N Promwongsa, A Ebrahimzadeh… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The Internet has made several giant leaps over the years, from a fixed to a mobile Internet,
then to the Internet of Things, and now to a Tactile Internet. The Tactile Internet goes far …
then to the Internet of Things, and now to a Tactile Internet. The Tactile Internet goes far …
Towards low-latency service delivery in a continuum of virtual resources: State-of-the-art and research directions
The advent of softwarized networks has enabled the deployment of chains of virtual network
and service components on computational resources from the cloud up to the edge, creating …
and service components on computational resources from the cloud up to the edge, creating …
Energy-efficient random access for LEO satellite-assisted 6G internet of remote things
Satellite communication system is expected to play a vital role for realizing various remote
Internet-of-Things (IoT) applications in sixth-generation vision. Due to unique characteristics …
Internet-of-Things (IoT) applications in sixth-generation vision. Due to unique characteristics …
Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids
Digital twin (DT) provides accurate guidance for multidimensional resource scheduling in 5G
edge computing-empowered distribution grids by establishing a digital representation of the …
edge computing-empowered distribution grids by establishing a digital representation of the …
Learning-based context-aware resource allocation for edge-computing-empowered industrial IoT
Edge computing provides a promising paradigm to support the implementation of Industrial
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …
LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …
Learning-based URLLC-aware task offloading for internet of health things
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
Toward 6G architecture for energy-efficient communication in IoT-enabled smart automation systems
Energy-efficient communication has become the center of attention from various
interdisciplinary fields, such as industrial automation, healthcare, and transportation, among …
interdisciplinary fields, such as industrial automation, healthcare, and transportation, among …
Learning-based queue-aware task offloading and resource allocation for space–air–ground-integrated power IoT
Space-air-ground-integrated power Internet of Things (SAG-PIoT) can provide ubiquitous
communication and computing services for PIoT devices deployed in remote areas. In SAG …
communication and computing services for PIoT devices deployed in remote areas. In SAG …
Blockchain and learning-based secure and intelligent task offloading for vehicular fog computing
H Liao, Y Mu, Z Zhou, M Sun, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing has emerged as a complementary framework for edge computing
by leveraging the under-utilized computational resources of vehicles. However, how to …
by leveraging the under-utilized computational resources of vehicles. However, how to …