NOMAP: A Pricing Scheme for NOMA Resource Block Selection and Power Allocation in Wireless Communications

Non-Orthogonal Multiple Access (NOMA) is one of the promising solutions for next-generation wireless services to mitigate traffic congestion and reduce latency. However, the issues such as regulating network revenue and ameliorating end-user Quality of Experience (QoE) are still open challenges. In this work, we propose the concept of Non-Orthogonal Multiple Access Pricing (NOMAP), to bridge the gap between price and QoE in NOMA resource allocation. The framework was then applied to a NOMA network scenario, and the problems of power allocation and resource block selection were investigated. The main contribution of this paper is to show that higher utilities can be achieved by dynamically pricing the NOMA resource blocks and by allowing the users to have a choice in resource management. In addition, an algorithm to achieve optimality in terms of Nash equilibrium is provided as an implementation example. The simulations carried out using MATLAB showcase the efficacy of the developed NOMAP framework. Furthermore, the results indicate that the proposed pricing significantly outperforms the traditional uniform pricing schemes.