A Fairness-Guaranteed Game-Theoretic Perspective in Multi-User Interference Channel
In this paper, a novel game theoretic perspective with pricing scheme over a multi-user Gaussian interference channel is presented. The Kalai-Smorodinsky bargaining solution (KSBS) as a measure for guaranteeing fairness in resource allocation among users on the weak Gaussian interference channel is investigated. By using the treating interference as noise (TIN) scenario and applying proper prices for the transmit power of each user the result of the proposed game settles on a unique fair point. Also, an iterative algorithm is proposed that converges to the KSBS when users update their transmit powers and prices. Numerical results confirm analytical development.
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