Interference Mitigation and Secrecy-ensured D2D Resource Allocation Scheme using Game Theory

This paper proposes a cognitive radio (CR)-based secure resource allocation scheme for device-to-device (D2D) communication networks. It aims to minimize the interference effect with a proper pairing of strong and weak D2D users by sensing the available spectrum of cellular users (CUs). It maximizes the total sum rate of D2D users with great service and quality of experience. Further, to improve the secrecy capacity of the proposed scheme, we formulate a coalition game. It has a preference order (decides upon the channel conditions) and based on that it moves D2D users from one coalition to another. This landed D2D users in the superlative coalition with conducive channel conditions. We then evaluate the proposed scheme considering parameters such as total sum rate, sum secrecy capacity, and average secrecy capacity. The graphs show that the proposed scheme outperforms the traditional without CR, first-order algorithm (FOA), and nearest first approaches.