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

Abstract

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.