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

Authors :

Alireza Gholamrezaee¹ Hamid Farrokhi² Javad Zeraatkar Moghaddam³

1- University of Birjand 2- University of Birjand 3- University of Birjand

Keywords :

D2D communications،matching algorithm،mode selection،MC-NOMA،power allocation،sub-channel allocation

Abstract :

Device-to-Device (D2D) communications and multi-carrier non-orthogonal multiple access (MC-NOMA) are promising techniques for enhancing energy and spectrum efficiency in the 5G cellular network. On the other hand, one of the most critical issues in these techniques is interference. So, in this paper, we study mode selection, sub-channel allocation, and power allocation problems in a underlay D2D-enabled MC-NOMA network, to manage the co-channel interference and increase the spectrum efficiency of the network, while users’ minimum signal-to-interference-plus-noise ratio (SINR) requirements is considered, where users can operate in underlay D2D mode or cellular mode. For this purpose, we formulate the joint problem as a system sum-rate maximization problem. Since the maximization problem is NP-hard, the problem is divided into 1-sub-channel assignment and mode selection problem and 2- power allocation problem. To jointly solve the problem of sub-channel allocation and mode selection, we propose an advanced matching algorithm and use the sequential convex programming technique to solve the power allocation. Finally, to indicate the effectiveness of the proposed algorithms, we present simulation results.

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