NOMA-assisted machine-type communications in UDN: State-of-the-art and challenges
The inevitable next era of smart living requires unprecedented advances in enabling
technologies. The building blocks of this era are devices such as sensors, actuators, and …
technologies. The building blocks of this era are devices such as sensors, actuators, and …
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …
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 …
Cooperative and distributed computation offloading for blockchain-empowered industrial Internet of Things
Offloading computation-intensive blockchain mining tasks to the edge servers (ESs) is a
promising solution for blockchain-empowered Industrial Internet of Things (IIoT) because the …
promising solution for blockchain-empowered Industrial Internet of Things (IIoT) because the …
Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting
Mobile-edge computing (MEC)-enabled Internet of Things (IoT) networks have been
deemed a promising paradigm to support massive energy-constrained and computation …
deemed a promising paradigm to support massive energy-constrained and computation …
Optimal cooperative offloading scheme for energy efficient multi-access edge computation
JH Anajemba, T Yue, C Iwendi, M Alenezi… - IEEE Access, 2020 - ieeexplore.ieee.org
The distributed cooperative offloading technique with wireless setting and power
transmission provides a possible solution to meet the requirements of next-generation Multi …
transmission provides a possible solution to meet the requirements of next-generation Multi …
Adaptive video streaming with edge caching and video transcoding over software-defined mobile networks: A deep reinforcement learning approach
Both mobile edge cloud (MEC) and software-defined networking (SDN) are technologies for
next generation mobile networks. In this paper, we propose to simultaneously optimize …
next generation mobile networks. In this paper, we propose to simultaneously optimize …
Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving
Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
Energy and task completion time trade-off for task offloading in fog-enabled IoT networks
In order to improve the quality of experience in executing computation-intensive tasks of real-
time IoT applications in a fog-enabled IoT network, resource-constrained IoT devices can …
time IoT applications in a fog-enabled IoT network, resource-constrained IoT devices can …
Efficient computation offloading in multi-tier multi-access edge computing systems: A particle swarm optimization approach
In recent years, multi-access edge computing (MEC) has become a promising technology
used in 5G networks based on its ability to offload computational tasks from mobile devices …
used in 5G networks based on its ability to offload computational tasks from mobile devices …