Intelligent offloading in blockchain-based mobile crowdsensing using deep reinforcement learning
Mobile Crowdsensing (MCS) utilizes sensing data collected from users' mobile devices
(MDs) to provide high-quality and personalized services, such as traffic monitoring, weather …
(MDs) to provide high-quality and personalized services, such as traffic monitoring, weather …
Intelligent offloading for NOMA-assisted MEC via dual connectivity
Multiaccess edge computing (MEC), which brings computing capability close to the user
equipment (UE) within a radio access network (RAN), is a promising technique to meet the …
equipment (UE) within a radio access network (RAN), is a promising technique to meet the …
Adaptive task offloading in vehicular edge computing networks: a reinforcement learning based scheme
In recent years, with the rapid development of Internet of Things (IoTs) and artificial
intelligence, vehicular networks have transformed from simple interactive systems to smart …
intelligence, vehicular networks have transformed from simple interactive systems to smart …
Edge computing and multiple-association in ultra-dense networks: Performance analysis
M Elbayoumi, W Hamouda… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The recent advances and unprecedented ubiquity of computation-intensive applications
such as virtual reality and mobile augmented reality force new approaches to handle the …
such as virtual reality and mobile augmented reality force new approaches to handle the …
Reliability enhancement for VR delivery in mobile-edge empowered dual-connectivity sub-6 GHz and mmWave HetNets
Z Gu, H Lu, P Hong, Y Zhang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
The reliability of current virtual reality (VR) delivery is low due to the limited resources on VR
head-mounted displays (HMDs) and the transmission rate bottleneck of sub-6 GHz …
head-mounted displays (HMDs) and the transmission rate bottleneck of sub-6 GHz …
Deep reinforcement learning-based online resource management for uav-assisted edge computing with dual connectivity
Mobile Edge Computing (MEC) is a key technology towards delay-sensitive and
computation-intensive applications in future cellular networks. In this paper, we consider a …
computation-intensive applications in future cellular networks. In this paper, we consider a …
Large-scale user-assisted multi-task online offloading for latency reduction in D2D-enabled heterogeneous networks
Currently, the computing capability of smart mobile devices has been extremely improved.
Exploiting computing resources of mobile devices to assist the network through offloading …
Exploiting computing resources of mobile devices to assist the network through offloading …
A new vehicular fog computing architecture for cooperative sensing of autonomous driving
H Du, S Leng, F Wu, X Chen, S Mao - IEEE Access, 2020 - ieeexplore.ieee.org
The sensing coverage and accuracy of vehicles are vital for autonomous driving. However,
the current sensing capability of a single autonomous vehicle is quite limited in the …
the current sensing capability of a single autonomous vehicle is quite limited in the …
Calibrated bandit learning for decentralized task offloading in ultra-dense networks
The integration of mobile edge computing (MEC) into an ultra-dense network (UDN) can
provide ubiquitous task offloading services to computation-demanding users leveraging …
provide ubiquitous task offloading services to computation-demanding users leveraging …
E2E QoS guarantee for the tactile internet via joint NFV and radio resource allocation
The Tactile Internet (TI) is one of the next generation wireless network services with end to
end (E2E) delay as low as 1 ms. Since this ultra low E2E delay cannot be met in the current …
end (E2E) delay as low as 1 ms. Since this ultra low E2E delay cannot be met in the current …