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Secrecy-ensured NOMA-based cooperative D2D-aided fog computing under imperfect CSI

机译:保密的基于NOMA的合作D2D辅助雾在不完美CSI下计算

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Fog Computing (FC) is a paradigm that offers centralized cloud computing services to the proximity of a device, i.e., at the edge for fast, secure, efficient, and reliable processing. Although FC offers many benefits, but it is not ideally suitable for various mission-critical applications such as healthcare, autonomous vehicle, connected cars, and unmanned aerial vehicles. To overcome the aforementioned issue, this paper integrates the concept of Device-to-Device (D2D) communication with the traditional FC. D2D offers faster processing due to the local processing of data at the device itself. But, D2D communication is potentially affected by interferences (from the cellular user and other devices) and noises (additive-white Gaussian noise). This can be mitigated if the Orthogonal Frequency Division Multiple Access (OFDMA) is replaced with Non-Orthogonal Multiple Access (NOMA) scheme. The Successive Interference Cancellation (SIC) technique of NOMA minimizes the interference effect. To improve the secrecy capacity of the network and spectral efficiency, we used a coalition game theory. Simulation results scrutinize the superiority of the proposed NOMA-based D2D-aided FC system over sum rate, secrecy capacity, and processing delay parameters.Fog Computing (FC) is a paradigm that offers centralized cloud computing services to the proximity of a device, i.e., at the edge for fast, secure, efficient, and reliable processing. Although FC offers many benefits, but it is not ideally suitable for various mission-critical applications such as healthcare, autonomous vehicle, connected cars, and unmanned aerial vehicles. To overcome the aforementioned issue, this paper integrates the concept of Device-to-Device (D2D) communication with the traditional FC. D2D offers faster processing due to the local processing of data at the device itself. But, D2D communication is potentially affected by interferences (from the cellular user and other devices) and noises (additive-white Gaussian noise). This can be mitigated if the Orthogonal Frequency Division Multiple Access (OFDMA) is replaced with Non-Orthogonal Multiple Access (NOMA) scheme. The Successive Interference Cancellation (SIC) technique of NOMA minimizes the interference effect. To improve the secrecy capacity of the network and spectral efficiency, we used a coalition game theory. Simulation results scrutinize the superiority of the proposed NOMA-based D2D-aided FC system over sum rate, secrecy capacity, and processing delay parameters.
机译:雾计算(FC)是一种范例,可提供集中云计算服务,以便在设备附近,即在边缘以快速,安全,高效和可靠的处理。虽然FC提供了许多好处,但理想情况下也不适用于各种关键任务应用,如医疗保健,自动车辆,连通汽车和无人驾驶飞行器。为了克服上述问题,本文将设备到设备(D2D)通信的概念与传统FC集成。 D2D由于设备本身的数据本地处理而提供更快的处理。但是,D2D通信可能受到干扰的影响(来自蜂窝用户和其他设备)和噪声(添加 - 白色高斯噪声)。如果用非正交多址(NOMA)方案替换正交频分多址(OFDMA),则可以减轻这一点。 NOMA的连续干扰消除(SIC)技术可最大限度地减少干扰效果。为了提高网络的保密能力和光谱效率,我们使用了联盟博弈论。仿真结果仔细检查了所提出的基于NOMO的D2D辅助FC系统的优势,超速率,保密容量和处理延迟参数。计算(FC)是一种范例,可为设备附近提供集中云计算服务,即,在边缘,用于快速,安全,高效,加工可靠。虽然FC提供了许多好处,但理想情况下也不适用于各种关键任务应用,如医疗保健,自动车辆,连通汽车和无人驾驶飞行器。为了克服上述问题,本文将设备到设备(D2D)通信的概念与传统FC集成。 D2D由于设备本身的数据本地处理而提供更快的处理。但是,D2D通信可能受到干扰的影响(来自蜂窝用户和其他设备)和噪声(添加 - 白色高斯噪声)。如果用非正交多址(NOMA)方案替换正交频分多址(OFDMA),则可以减轻这一点。 NOMA的连续干扰消除(SIC)技术可最大限度地减少干扰效果。为了提高网络的保密能力和光谱效率,我们使用了联盟博弈论。仿真结果仔细检查了所提出的基于NOMA的D2D辅助FC系统的优越性,通过总和速率,保密容量和处理延迟参数。

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