TL;DR
This paper introduces a game-theoretic model for NOMA-ALOHA, optimizing transmission probabilities to enhance spectral efficiency in IoT networks through energy-efficient strategies.
Contribution
It formulates a game-theoretic framework for NOMA-ALOHA, deriving the mixed strategy Nash equilibrium based on energy efficiency.
Findings
Derives the Nash equilibrium for NOMA-ALOHA transmission strategies.
Shows improved energy efficiency over traditional ALOHA.
Provides insights into optimal transmission probabilities in IoT scenarios.
Abstract
Non-orthogonal multiple access (NOMA) can improve the spectral efficiency by exploiting the power domain and successive interference cancellation (SIC), and it can be applied to various transmission schemes including random access that plays a crucial role in the Internet of Things (IoT) to support connectivity for a number of devices with sparse activity. In this paper, we formulate a game when NOMA is applied to ALOHA to decide the transmission probability. We consider a payoff function based on an energy-efficiency metric and drive the mixed strategy Nash equilibrium (NE).
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