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Energy-Efficient Distributed Non-cooperative Games Theoretic Approach for Resource Allocation in OFDM Systems

In this paper, we develop a distributed adaptive energy-efficient radio resource allocation based on game theory in orthogonal frequency division multiplexing (OFDM) cellular systems. It is demonstrated that game theory can be used as an effective tool to study resource allocation in wireless networks with quality-of-service (QoS) constraints. Since power is one of the important schedulable resources that we intend to manage it in OFDM cellular network, we consider power as a resource. We solve resource allocation problem based on the idea of the Nash equilibrium (NE) from non-cooperative game theory. We formulate a new scheme of utility function which forms adaptive power allocation. Each user seek to choose a transmit power that maximizes its on utility by adjusting the transmit power on each subcarrier. Power control game obtained target Signal to Interference plus Noise Ratio (SINR) and achieved fair data rate for all users. An important issue in this game is efficiency; which means lower power consumption in power allocating process. To achieve this goal we develop Pareto efficiency satisfaction method using a proper cost function. The numerical results show that our proposal outperforms the iterative Water-filling (WF) algorithm in terms of power allocation and energy efficiency. Simulation results show that the proposed dynamic power allocation game satisfies fairness, Pareto efficiency and improves system capacity.