Mode Selection and Resource Allocation in D2D-Enabled MC-NOMA using Matching Theory

Multi-carrier non-orthogonal multiple access (MC-NOMA) and device-to-device (D2D) communications are hopeful techniques for enhancing energy and spectrum efficiency in the 5G cellular network. Also, one of the most critical issues in these techniques is interference. So, in this paper, mode selection, sub-channel (SC) allocation, and power allocation problems in an underlay D2D-enabled MC-NOMA network is studied, to increase the spectrum efficiency of the network and manage the co-channel interference, while users' minimum signal-to-interference-plus-noise ratio (SINR) requirements is considered, where users can operate in underlay D2D mode or cellular mode. To this end, the joint problem as a system sum-rate maximization problem is formulated. Since the maximization problem is NP-hard, the problem is split into 1- SC assignment and mode selection problem and 2- power allocation problem. To jointly solve the problem of SC allocation and mode selection, an advanced matching algorithm is proposed and to solve the power allocation the sequential convex programming technique is used. Finally, to indicate the significance of the proposed algorithms, we present simulation results.