Blockchain-based on-demand computing resource trading in IoV-assisted smart city

X Lin, J Wu, S Mumtaz, S Garg, J Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In a smart city, Mobile Edge Computing (MEC) are generally deployed in static fashion in
base stations (BSs). While moving vehicles with advanced on-board equipment can be …

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 …

Joint power and time allocation for NOMA–MEC offloading

Z Ding, J Xu, OA Dobre, HV Poor - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This correspondence considers non-orthogonal multiple access (NOMA) assisted mobile
edge computing (MEC), where the power and time allocation is jointly optimized to reduce …

Joint resources and workflow scheduling in UAV-enabled wirelessly-powered MEC for IoT systems

Y Du, K Yang, K Wang, G Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper considers a UAV-enabled mobile edge computing (MEC) system, where a UAV
first powers the Internet of things device (IoTD) by utilizing Wireless Power Transfer (WPT) …

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 …

A deep reinforcement learning based offloading game in edge computing

Y Zhan, S Guo, P Li, J Zhang - IEEE Transactions on Computers, 2020 - ieeexplore.ieee.org
Edge computing is a new paradigm to provide strong computing capability at the edge of
pervasive radio access networks close to users. A critical research challenge of edge …

Deep reinforcement learning-based adaptive computation offloading for MEC in heterogeneous vehicular networks

H Ke, J Wang, L Deng, Y Ge… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular network needs efficient and reliable data communication technology to
maintain low latency. It is very challenging to minimize the energy consumption and data …

Blockchain meets edge computing: Stackelberg game and double auction based task offloading for mobile blockchain

S Guo, Y Dai, S Guo, X Qiu, F Qi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blockchain technology is developing rapidly and has been applied in various aspects,
among which there are broad prospects in Internet of Things (IoT). However, IoT mobile …

Joint offloading and computation energy efficiency maximization in a mobile edge computing system

H Sun, F Zhou, RQ Hu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
This paper proposes a new algorithm to evaluate the performance of the mobile edge
computing system. Specifically, a new metric called computation efficiency is defined as the …

Mobility-aware multi-user offloading optimization for mobile edge computing

W Zhan, C Luo, G Min, C Wang, Q Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new computing paradigm with great potential to
enhance the performance of user equipment (UE) by offloading resource-hungry …