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• W2990410407 abstract "Mobile edge computing (MEC), which enables the wireless devices to offload their computation tasks to the edge servers, has been considered as a promising technology to offer low-latency computing services and prolong lifetime for the Internet of Things (IoT) devices. To further improve the system efficiency, non-orthogonal multiple access (NOMA) is exploited to the MEC system. In this paper, we investigate a NOMAbased MEC system in ultra dense network and pursue an energy efficient offloading strategy for resource-limited devices, while meeting the execution latency constraint Due to the non-convexity of the optimization problem, we propose a low complexity energy efficient task offloading algorithm based on alternating direction method of multipliers (ADMM) decomposition technique to transform it into multiple parallel convex subproblems and obtain the optimal solution. Numerical results show that the proposed scheme can significantly decrease energy consumption for user and achieve lower complexity." @default.
• W2990410407 created "2019-12-05" @default.
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• W2990410407 date "2019-09-01" @default.
• W2990410407 modified "2023-10-17" @default.
• W2990410407 title "Energy Efficient Task Offloading in NOMA-Based Mobile Edge Computing System" @default.
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• W2990410407 doi "https://doi.org/10.1109/pimrc.2019.8904347" @default.
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