Distributed artificial intelligence empowered by end-edge-cloud computing: A survey
As the computing paradigm shifts from cloud computing to end-edge-cloud computing, it
also supports artificial intelligence evolving from a centralized manner to a distributed one …
also supports artificial intelligence evolving from a centralized manner to a distributed one …
A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …
generation (6G) mobile communication networks, ultrareliable and low-latency …
Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities
To enable large-scale and ubiquitous automotive network access, traditional vehicle-to-
everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing …
everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing …
Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0
Critical infrastructure systems are vital to underpin the functioning of a society and economy.
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …
and gleaning valuable information from network traffic. It can be applied in various fields …
ColO-RAN: Developing machine learning-based xApps for open RAN closed-loop control on programmable experimental platforms
Cellular networks are undergoing a radical transformation toward disaggregated, fully
virtualized, and programmable architectures with increasingly heterogeneous devices and …
virtualized, and programmable architectures with increasingly heterogeneous devices and …
Energy efficiency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based approach
This paper investigates reconfigurable intelligent surface (RIS)-assisted simultaneous
wireless information and power transfer (SWIPT) networks with rate splitting multiple access …
wireless information and power transfer (SWIPT) networks with rate splitting multiple access …
MEC-assisted immersive VR video streaming over terahertz wireless networks: A deep reinforcement learning approach
J Du, FR Yu, G Lu, J Wang, J Jiang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Immersive virtual reality (VR) video is becoming increasingly popular owing to its enhanced
immersive experience. To enjoy ultrahigh resolution immersive VR video with wireless user …
immersive experience. To enjoy ultrahigh resolution immersive VR video with wireless user …
Dynamic scheduling for stochastic edge-cloud computing environments using a3c learning and residual recurrent neural networks
The ubiquitous adoption of Internet-of-Things (IoT) based applications has resulted in the
emergence of the Fog computing paradigm, which allows seamlessly harnessing both …
emergence of the Fog computing paradigm, which allows seamlessly harnessing both …
Intelligent omni-surfaces: Simultaneous refraction and reflection for full-dimensional wireless communications
The development of metasurfaces has unlocked various use cases in wireless
communication networks to improve performance by manipulating the propagation …
communication networks to improve performance by manipulating the propagation …