Applications of auction and mechanism design in edge computing: A survey

H Qiu, K Zhu, NC Luong, C Yi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Edge computing as a promising technology provides lower latency, more efficient
transmission, and faster speed of data processing since the edge servers are closer to the …

Energy consumption minimization scheme for NOMA-based mobile edge computation networks underlaying UAV

I Budhiraja, N Kumar, S Tyagi… - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
An unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks fulfil
the on-demand computation services for the mobile terminals (MTs) with its high mobility …

Edge computing resources reservation in vehicular networks: A meta-learning approach

D Chen, YC Liu, BG Kim, J Xie… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the development of autonomous vehicular technologies, the execution tasks become
more memory-consuming and computation-intensive. Simultaneously, a certain portion of …

Reconfigurable intelligent surface empowered device-to-device communication underlaying cellular networks

G Yang, Y Liao, YC Liang, O Tirkkonen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a new and revolutionary technology to achieve
spectrum-, energy-and cost-efficient wireless networks. This paper studies the resource …

Multi-hop task offloading with on-the-fly computation for multi-UAV remote edge computing

X He, R Jin, H Dai - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
The dramatic growth in computing capability and the inherent mobility of the unmanned
aerial vehicles (UAVs) foster the recent surge of interests in incorporating UAVs into edge …

Computation bits maximization in UAV-enabled mobile-edge computing system

L Lyu, F Zeng, Z Xiao, C Zhang, H Jiang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have been widely used in various
industries (eg, search and rescue, express delivery, etc.) due to their high flexibility. In …

Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems

J Xiong, P Guo, Y Wang, X Meng, J Zhang… - … Applications of Artificial …, 2023 - Elsevier
The rapid development of cloud computing and the Internet of Things (IoT) have facilitated
near real-time optimization of the group distributed manufacturing systems. Currently, the …

Energy management for secure transmission in wireless powered communication networks

S Zhang, S Kong, K Chi, L Huang - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is a highly integrated application of the advanced information
technology, which is expected to bring convenience for daily life and improve the efficiency …

A survey on offloading in federated cloud-edge-fog systems with traditional optimization and machine learning

B Kar, W Yahya, YD Lin, A Ali - arXiv preprint arXiv:2202.10628, 2022 - arxiv.org
The huge amount of data generated by the Internet of things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

An optimal deployment framework for multi-cloud virtualized radio access networks

FW Murti, JA Ayala-Romero… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Virtualized radio access networks (vRAN) are emerging as a key component of wireless
cellular networks, and it is therefore imperative to optimize their architecture. vRANs are …