Dynamic neural network-based resource management for mobile edge computing in 6g networks
Mobile edge computing (MEC) can be used to reduce the task delay for users with limited
computing resources. However, in 6G networks, the diversity of tasks is greatly increased …
computing resources. However, in 6G networks, the diversity of tasks is greatly increased …
Residual energy maximization for wireless powered mobile edge computing systems with mixed-offloading
This paper studies a joint design of resource allocation and task offloading in a wireless
powered mobile edge computing network involving different types of computation tasks. To …
powered mobile edge computing network involving different types of computation tasks. To …
Green hybrid energy harvesting for intelligent mobile edge computing in internet of things
P Ge, J Zhao, H Zhang, D Zou, M Wang - Physical Communication, 2023 - Elsevier
Mobile device (MD) is usually energy constrained and the computation task will be
interrupted when the battery power is run out. Intelligent mobile edge computing (MEC), as a …
interrupted when the battery power is run out. Intelligent mobile edge computing (MEC), as a …
Quantum Computing in Wireless Communications and Networking: A Tutorial-cum-Survey
Owing to its outstanding parallel computing capabilities, quantum computing (QC) has been
a subject of continuous attention. With the gradual maturation of QC platforms, it has …
a subject of continuous attention. With the gradual maturation of QC platforms, it has …
Resource allocation for UAV-assisted 5G mMTC slicing networks using deep reinforcement learning
Abstract The Internet of Things (IoT) application scenarios is becoming extensive due to the
quick evolution of smart devices with fifth-generation (5G) network slicing technologies …
quick evolution of smart devices with fifth-generation (5G) network slicing technologies …
An optimized multi-layer resource management in mobile edge computing networks: a joint computation offloading and caching solution
Nowadays, data caching is being used as a high-speed data storage layer in mobile edge
computing networks employing flow control methodologies at an exponential rate. This study …
computing networks employing flow control methodologies at an exponential rate. This study …
COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment
The evolution of the Internet of Things technology (IoT) has boosted the drastic increase in
network traffic demand. Caching and multicasting in the multi-clouds scenario are effective …
network traffic demand. Caching and multicasting in the multi-clouds scenario are effective …
Dynamic content caching based on actor-critic reinforcement learning for IoT systems
L Lai, FC Zheng, W Wen, J Luo… - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
In this paper, we consider the dynamic content caching issue in the cache-enabled Internet
of Things (IoT) systems. For real-time applications in cache-enabled IoT systems, it is …
of Things (IoT) systems. For real-time applications in cache-enabled IoT systems, it is …
The energy-delay pareto front in cache-enabled integrated access and backhaul mmwave hetnets
W Shang, V Friderikos - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
In this paper, to address backhaul capacity bottle-neck and concurrently optimize energy
consumption and delay, we formulate a novel weighted-sum multi-objective optimization …
consumption and delay, we formulate a novel weighted-sum multi-objective optimization …
Advanced Wireless Technologies for Industrial Automation
With the rapid development of wireless communication technologies, many advanced
wireless technologies could be applied to industrial control system to improve the production …
wireless technologies could be applied to industrial control system to improve the production …