Power control algorithm based on non-cooperative game theory in successive interference cancellation

Abstract

Successive interference cancellation (SIC) is an effective way of multi-packet reception to combat interference in wireless networks. The power control problem among wireless nodes in a frequency-selective interference channel is taken into consideration, which is modeled as a non-cooperative game process. Then, the existence and uniqueness of Nash equilibrium are proven. We propose a novel power control algorithm based on non-cooperative game theory that combines with the SIC conditions and constraints. A utility function refers to the network throughput and the cost function. The cost function is made up of the transmission power of each node. The wireless nodes maximize their utility by using the non-cooperative game, improving the network throughput and reducing the energy consumption. Simulation results demonstrate the effectiveness of the proposed power control strategy, which shows better performance than the other algorithms.