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- W4285802103 abstract "Recently, mobile edge computing (MEC) has been widely applied into Internet of Things (IoT) networks, which has attracted a lot of attention from researchers. A critical challenge in the MEC-aided IoT networks is that the performance analysis is often complicated, where it is quite difficult for us to obtain some analytical or closed-form solution to the performance analysis, such as outage probability and bit error rate. This has been the bottleneck of the development of MEC-aided IoT networks. To address this challenge, we deeply investigate the Chebyshev-Gauss approximation method and derive the analytical solution to implement this powerful and useful approximation. We then give several examples to show the effectiveness of the Chebyshev-Gauss approximation in the performance analysis for the MEC-aided IoT systems. The results in this work can serve as an important reference and reveal some important inherent mechanisms for the MEC-aided IoT networks." @default.
- W4285802103 created "2022-07-19" @default.
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- W4285802103 date "2022-07-18" @default.
- W4285802103 modified "2023-10-16" @default.
- W4285802103 title "Chebyshev-Gauss Approximation Analysis for Mobile Edge Computing-Aided IoT Networks" @default.
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- W4285802103 doi "https://doi.org/10.1155/2022/3099914" @default.
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