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Published in 2018 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-018-1177-x
Abstract: This paper studies mobile edge computing (MEC) networks where multiple wireless devices (WDs) choose to offload their computation tasks to an edge server. To conserve energy and maintain quality of service for WDs, the optimization…
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Keywords:
edge computing;
deep learning;
distributed deep;
learning based ... See more keywords
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Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2978830
Abstract: Vehicular edge computing (VEC) is a new computing paradigm that has great potential to enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle applications with low latency and high energy efficiency. In this…
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Keywords:
offloading scheduling;
based offloading;
reinforcement learning;
deep reinforcement ... See more keywords
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Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3213324
Abstract: To securely integrate Mobile Edge Computing (MEC) into Wireless Blockchain Network (WBN), this paper proposes a framework for blockchain based offloading strategy, where blockchain nodes are categorized as blockchain users and blockchain miners from a…
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Keywords:
blockchain;
blockchain based;
strategy;
based offloading ... See more keywords
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Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2018.2880327
Abstract: Device-to-device (D2D) based offloading stands out as a promising approach to mitigate the pressure over cellular networks. From the perspectives of both operators and users, an ideal solution is expected to maximize the offloading efficiency…
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Keywords:
buffer;
offloading efficiency;
based offloading;
efficiency ... See more keywords