Research On Power Allocation Algorithms Based On Game Theory For Simultaneous Wireless Information And Power Tranfer Networks

With the rapid development of society, people's demand for wireless communication technology is increasing. Power control technology can effectively adjust the transmitting power, so as to make more efficient use of energy. Therefore, researchs on power control technology is extremely important for the development of wireless communication.In this paper, the method of game theory is adopted to analyze how to allocate the transmitting power reasonably in the SWIPT system. Two kinds of wireless communication models are studied according to different application scenarios, which are multi-user interference channel SWIPT model and SWIPT system model with malicious eavesdropper and artificial interference. The main idea of the research is to design the system model which can reflect the real scene, set up the optimization problem according to the communication quality of each node and energy constraints and transmitting power constraints, deduce the optimization problem, propose the optimization algorithm and design the simulation platform to validate the simulation results and analyze the results.Firstly, the power allocation problem based on Nash equilibrium of SWIPT system in multi-user interference channel is studied. The transmitter-receiver communication links in the multi-user interference channel communication model are considered as participants in a game.Each participant makes his own strategy according to the strategy of other participants. This transmission characteristic conforms to Nash equilibrium, so Nash equilibrium is used to analyze this power allocation problem. Based on the theoretical derivation, a distributed iterative water-filling algorithm is proposed. The simulation results show that the proposed algorithm is stable and can improve the performance of the system.Secondly, the power allocation problem based on Stackelberg game of SWIPT system with a malicious eavesdropper and artificial jammers is studied. The source nodes and the artificial jammers nodes in the system model are regarded as the buyer and the sellers, and the game is carried out between the two parties. The equilibrium state is reached to optimize the interests of the two parties. This feature is consistent with Stackelberg game theory. Therefore, this paper analyzes the power distribution algorithm based on Stackelberg game and solves the optimal solution of the problem from the perspective of buyers and sellers. Analysis of simulation results shows that the proposed algorithm can distribute the power better, effectively curb eavesdropping and improve the system performance.