Performance guaranteed computation offloading for mobile-edge cloud computing

X Tao, K Ota, M Dong, H Qi, K Li - IEEE Wireless …, 2017 - ieeexplore.ieee.org
In this letter, we investigate an energy efficiency with performance guaranteed problem in
mobile-edge computing. The mobile users desire lower energy consumption with better …

Green resource allocation based on deep reinforcement learning in content-centric IoT

X He, K Wang, H Huang, T Miyazaki… - … on Emerging Topics …, 2018 - ieeexplore.ieee.org
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …

Transceiver design and multihop D2D for UAV IoT coverage in disasters

X Liu, Z Li, N Zhao, W Meng, G Gui… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
When natural disasters strike, the coverage for Internet of Things (IoT) may be severely
destroyed, due to the damaged communications infrastructure. Unmanned aerial vehicles …

Resource allocation for ultra-dense networks: A survey, some research issues and challenges

Y Teng, M Liu, FR Yu, VCM Leung… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Driven by the explosive data traffic and new quality of service requirement of mobile users,
the communication industry has been experiencing a new evolution by means of network …

A double deep Q-learning model for energy-efficient edge scheduling

Q Zhang, M Lin, LT Yang, Z Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Reducing energy consumption is a vital and challenging problem for the edge computing
devices since they are always energy-limited. To tackle this problem, a deep Q-learning …

Integration of D2D, network slicing, and MEC in 5G cellular networks: Survey and challenges

L Nadeem, MA Azam, Y Amin, MA Al-Ghamdi… - IEEE …, 2021 - ieeexplore.ieee.org
With the tremendous demand for connectivity anywhere and anytime, existing network
architectures should be modified. To cope with the challenges that arise due to the …

Efficient resource allocation for on-demand mobile-edge cloud computing

X Chen, W Li, S Lu, Z Zhou, X Fu - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at
the edge of pervasive radio access networks in close proximity to mobile users. Aiming at …

METO: Matching-theory-based efficient task offloading in IoT-fog interconnection networks

C Swain, MN Sahoo, A Satpathy… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Typical cloud systems are often prone to inherent wide area network (WAN) latency. To
address this issue fog computing is proposed that enables resource-constrained Internet-of …

D2D-assisted multi-user cooperative partial offloading, transmission scheduling and computation allocating for MEC

J Peng, H Qiu, J Cai, W Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By fully exploiting the cooperative communication capacities among mobile terminals (MTs),
the MTs can adapt the offloading designs well to the practical network with dynamic features …

A survey on low-power wide area networks for IoT applications

M Bembe, A Abu-Mahfouz, M Masonta… - Telecommunication …, 2019 - Springer
We are on the entry of the exponential advancement of the internet-of-things (IoT) due to the
quick development of internet-connected smart-objects. As the number of connected smart …