Volume 9, Issue 4 (12-2017)
2017, 9(4): 11-18 |
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1- Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
2- Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran , akhbari@kntu.ac.ir
3- Information Theoretic Learning Systems Laboratory (ITLSL), Department of Electrical Engineering, Shahed University, Tehran, Iran
2- Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran , akhbari@kntu.ac.ir
3- Information Theoretic Learning Systems Laboratory (ITLSL), Department of Electrical Engineering, Shahed University, Tehran, Iran
Abstract: (2676 Views)
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.
Keywords: Gaussian Interference Channel, Game Theory, Pricing Scheme, Nash Equilibrium, Kalai-Smorodinsky Bargaining Solution, Fairness
Type of Study: Research |
Subject:
Information Technology
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