Partial offloading scheduling and power allocation for mobile edge computing systems

Z Kuang, L Li, J Gao, L Zhao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …

Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach

AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …

Multi-agent deep reinforcement learning for computation offloading and interference coordination in small cell networks

X Huang, S Leng, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) with small cell networks has been conceived as a
promising solution to provide pervasive computing services. However, the interactions …

Joint service placement and request routing in multi-cell mobile edge computing networks

K Poularakis, J Llorca, AM Tulino… - … -IEEE Conference on …, 2019 - ieeexplore.ieee.org
The proliferation of innovative mobile services such as augmented reality, networked
gaming, and autonomous driving has spurred a growing need for low-latency access to …

Latency minimization for D2D-enabled partial computation offloading in mobile edge computing

U Saleem, Y Liu, S Jangsher, X Tao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We consider Device-to-Device (D2D)-enabled mobile edge computing offloading scenario,
where a device can partially offload its computation task to the edge server or exploit the …

Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …

NOMA-assisted multi-access mobile edge computing: A joint optimization of computation offloading and time allocation

Y Wu, K Ni, C Zhang, LP Qian… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Multi-access mobile edge computing (MEC), which enables mobile users (MUs) to offload
their computation-workloads to the computation-servers located at the edge of cellular …

Making knowledge tradable in edge-AI enabled IoT: A consortium blockchain-based efficient and incentive approach

X Lin, J Li, J Wu, H Liang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Nowadays, benefit from more powerful edge computing devices and edge artificial
intelligence (edge-AI) could be introduced into Internet of Things (IoT) to find the knowledge …

Cooperative offloading and resource management for UAV-enabled mobile edge computing in power IoT system

Y Liu, S Xie, Y Zhang - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
The lack of the computation services in remote areas motivates power Internet of Things
(IoT) to apply unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) …

Privacy-preserved task offloading in mobile blockchain with deep reinforcement learning

DC Nguyen, PN Pathirana, M Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blockchain technology with its secure, transparent and decentralized nature has been
recently employed in many mobile applications. However, the process of executing …