Jenks Optimization-based Analysis of Non-Trusted Users in D2D Communication System for Datarate Maximization

Device-to-device (D2D) is a prominent technology of the fifth-generation's (5G) network that leverages more number of communication links with high efficiency. D2D allows direct communication between mobile devices, improving the system's spectral efficiency and overall datarate. However, D2D users reutilize the cellular users (CLUs) resource in an underlay mode. As a result, multiple users are accessing the CLUs resources, which causes high interference in the system and minimizes its overall performance. The interference effect increases with the increase in the number of non-trusted D2D users in the system. Also, the existing works have not given any means for the identification of non-trusted D2D users in the system. Motivated from the aforementioned issues, in this paper, we proposed a Jenks optimization-based scheme to analyze the non-trusted D2D users over the datarate values in the D2D communication system. The threshold value of each natural break in the Jenks algorithm is calculated using the kernel density estimation algorithm. The proposed scheme maximizes the D2D communication system's performance over the sumrate and computation time parameters.