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Dynamic Offloading for Energy Harvesting Mobile Edge Computing: Architecture, Case Studies, and Future Directions
2019
IEEE Access
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In this paper, we propose a wireless powered MEC network architecture that employs device-to-device (D2D) communications underlaying heterogeneous networks (HetNets) to enable the computational tasks offloading ...
INDEX TERMS Mobile edge computing, energy harvesting, device-to-device (D2D) communication, computation offloading. ...
Although computation offloading is effective in exploiting the powerful computational resources at edge cloud server, for conventional battery-powered devices with finite battery capacities, the computation ...
doi:10.1109/access.2019.2922362
fatcat:pqnjxyehvzat5jey4fq3dzcdsy
Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey
2019
IEEE Access
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Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute-and data-intensive services with low latency. ...
INDEX TERMS Caching, computation offloading, device-to-device (D2D) communication, mobile edge computing (MEC). ...
ACKNOWLEDGMENT The authors alone are responsible for the content of the paper. ...
doi:10.1109/access.2019.2953172
fatcat:zcrzkzd4xbgzhnf3ytggxtmgfi
Table of contents
2021
IEEE Transactions on Cognitive Communications and Networking
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Ricardo Lent 871 Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning . . . . . . . . . . . . . . . . ...
Mujeeb 893 Radio Resource Management Approaches for Reliable Device-to-Device (D2D) Communication in Wireless Industrial Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tccn.2021.3105792
fatcat:3pijifc6vffzrd5ajstramcqda
Social-Aware Energy Harvesting Device-To-Device Communications in 5G Networks
2017
International Journal of Control and Automation
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A solution is to potentially combine users online and offline to exploit D2D opportunistic sharing for offloading mobile traffic. ...
As a solution, device-to-device communication can serve as a powerful paradigm in futuristic cellular networks to enable local cooperation of mobile devices. ...
This technique aids in development of new applications and data offloading. ...
doi:10.14257/ijca.2017.10.4.27
fatcat:2go4jt44gbakldjrfxvcxm7ca4
Table of contents
2021
IEEE Internet of Things Journal
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Papadimitratos 7985 Resource Management for Computation Offloading in D2D-Aided Wireless Powered Mobile-Edge Computing Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Yang 8078 Computation Offloading via Sinkhorn's Matrix Scaling for Edge Services . . . . . . . . . L. Wang, Y. Zhang, and S. ...
doi:10.1109/jiot.2021.3072752
fatcat:76xi4xtmizeczflgxotuxoqvre
A Survey on Mobility Management for MEC-enabled Systems
2019
Zenodo
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Mobile Edge Computing (MEC) is a new network architecture concept. ...
In this paper, the state-of-the-art research efforts towards handling user mobility in a MEC environment for different kinds of services are surveyed. Also, open research problems are discussed. ...
Tactile Internet with Human-in-the-Loop (CeTI) of Technische Universität Dresden. ...
doi:10.5281/zenodo.4424864
fatcat:rxzahhhm4jc7rkobttchnosj3y
2020 Index IEEE Transactions on Mobile Computing Vol. 19
2021
IEEE Transactions on Mobile Computing
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., +, TMC Oct. 2020 2278-2298
Deep Reinforcement Learning for Online Computation Offloading in Wire-
less Powered Mobile-Edge Computing Networks. ...
., +, TMC April
2020 852-864
Fading channels
Deep Reinforcement Learning for Online Computation Offloading in Wire-
less Powered Mobile-Edge Computing Networks. ...
doi:10.1109/tmc.2020.3036773
fatcat:6puiux5lp5bfvjo47ey7ycwyfu
A Survey on Reinforcement Learning-Aided Caching in Heterogeneous Mobile Edge Networks
2022
IEEE Access
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In this survey, reinforcement learning-aided mobile edge caching solutions are presented and classified, based on the networking architecture and optimization target. ...
INDEX TERMS 6G, edge caching, heterogeneous networks, machine learning, mobile edge networks, reinforcement learning. ...
In [81] , DRL-based network resource management for improved cache hit rate and computation offloading is presented. ...
doi:10.1109/access.2022.3140719
fatcat:565r4jxrinfxtpgvuc5xfvxmle
A Survey on Mobile Edge Computing: The Communication Perspective
2017
IEEE Communications Surveys and Tutorials
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offloading to network architectures. ...
A main thrust of MEC research is to seamlessly merge the two disciplines of wireless communications and mobile computing, resulting in a wide-range of new designs ranging from techniques for computation ...
) Mobility-Aware Offloading Using D2D Communications: D2D communications was first proposed in [182] to improve the network capacity and alleviate the data traffic burden in cellular systems. ...
doi:10.1109/comst.2017.2745201
fatcat:rkgkslqx4bg6vp4ynidiuzqtga
Table of Contents
2020
IEEE Transactions on Vehicular Technology
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Maximization in Mobile Edge Computing Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Gupta and J. ...
Imran 3370 Joint Resource Allocation and Computation Offloading With Time-Varying Fading Channel in Vehicular Edge Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tvt.2020.2970959
fatcat:rmi2juemdneozo47iagkyagi6i
Guest Editorial: Introduction to the Special Section on Heterogeneous Communications Networks
2020
IEEE Transactions on Network Science and Engineering
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His research interests are in development of communication protocols with the use of graph theory for mobile and wireless networks. ...
His research interests include wireless networks, cloud computing, and cyberphysical systems. ...
spectrum, computing, and storing resources in an edge computing aided vehicular network. ...
doi:10.1109/tnse.2020.3026566
fatcat:rej32vuse5bgrajuih26pct3oy
2020 Index IEEE Transactions on Wireless Communications Vol. 19
2020
IEEE Transactions on Wireless Communications
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., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua, C., see Li, M ...
TWC Jan. 2020 650-664 Huang, A., see He, H., TWC Dec. 2020 7881-7896 Huang, C., Molisch, A.F., He, R., Wang, R., Tang, P., Ai, B., and Zhong, Z., Machine Learning-Enabled LOS/NLOS Identification for ...
., +, TWC Oct. 2020 6377-6392 Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks. ...
doi:10.1109/twc.2020.3044507
fatcat:ie4rwz4dgvaqbaxf3idysubc54
A Survey on Mobile Edge Computing: The Communication Perspective
[article]
2017
arXiv
pre-print
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2017 pre-print arXiv:1701.01090v3 fatcat:fddwjvgj7zbfrdf4yuxin3l7xqOther Versions
offloading to network architectures. ...
A main thrust of MEC research is to seamlessly merge the two disciplines of wireless communications and mobile computing, resulting in a wide-range of new designs ranging from techniques for computation ...
. 2) Mobility-Aware Offloading Using D2D Communications: D2D communications was first proposed in [150] to improve the network capacity and alleviate the data traffic burden in cellular systems. ...
arXiv:1701.01090v4
fatcat:txpdpkp4irhibf6btbzvgth4n4
Content-Centric Mobile Edge Caching
2019
IEEE Access
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Due to limited storage resources within mobile networks, it is important to improve efficiency of content management in edge caching. ...
In this article, we propose an integrated content-centric mobile network framework for edge caching in 5G networks, which can leverage content-centric networking (CCN), achieve content-oriented information ...
Furthermore, it is also desirable to study the CCN based edge caching in some specific scenarios, such as wireless powered cellular networks, drone-aided cellular networks. ...
doi:10.1109/access.2019.2962856
fatcat:5r6a2ufpe5hbdocglo6tsyye7m
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
2020
IEEE Access
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offloading and resource allocation in wireless powered MEC systems was studied in [253] . ...
For example, the authors in [251] investigated two deep Q-learning models for mobile edge caching and computing in vehicular networks. ...
doi:10.1109/access.2020.3001277
fatcat:isme7xwfejf4pfnowosljxnzja
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