Energy-Efficient Resource Allocation for 5G Cognitive Radio NOMA Using Game Theory

TL;DR

This paper proposes a game-theoretic power allocation scheme for CR-NOMA networks in 5G, improving spectrum efficiency and increasing secondary users' utilities by up to 37.5%.

Contribution

It introduces a novel game-theoretic power allocation method for CR-NOMA, ensuring Nash equilibrium and optimizing secondary users' utilities.

Findings

Proposed scheme outperforms conventional methods.

Achieves up to 37.5% increase in sum utilities of SUs.

Ensures existence and uniqueness of Nash equilibrium.

Abstract

Cognitive radio non-orthogonal multiple access (CR-NOMA) networks promise improved spectrum utilization and capacity in 5G networks. In this work, we aim to investigate efficient power allocation for the secondary users (SUs) in underlay CR-NOMA networks using a game-theoretic approach. We present a novel power allocation to CR-NOMA network from a game-theoretic perspective. First, we specify the utility function of the primary users (PUs) and SUs, and formulate the game as a non-cooperative game. Then, the existence and uniqueness of the Nash equilibrium (NE) are investigated. Finally, the sum utilities of SUs is maximized by optimal power allocation at the NE point. Simulation results provided that the proposed scheme outperforms the conventional method, providing up to 37.5\% increase in sum utilities of the SUs.