Joint Allocation Of Spectrum And Power Allocation Of Cognitive Radio Networks Based On Potential Game Theory

With the increasing number of wireless communication users,the demand for wireless spectrum resources is becoming more and more popular.A large number of wireless network terminal devices have been developed with the development of science and technology.The demand for application has resulted in the shortage of wireless spectrum resources.In order to alleviate the spectrum congestion,the cognitive wireless network technology came into being.Cognitive wireless technology adjusts the parameters of wireless devices in real time in order to face dynamic changes in the spectrum environment,and can overcome the constraints of traditional static spectrum allocation on the performance of wireless networks.It meets the current communication requirements to some extent.Compared with centralized network,distributed network has the characteristics of flexibility and good scalability.It can be applied in harsh environmental conditions.The distributed wireless network has a dynamic self organization structure.Each node in the network can adjust the running parameters independently according to the pre set algorithm and protocol to adapt to the dynamic changes of the environment.Due to the self organization feature of distributed network in dynamic environment,there are few research models distributed network performance well.Game theory can effectively establish and simulate the model of the interactive behavior between independent nodes.This paper describes game theory establishes a model and discusses the research progress of this theory in the direction of distributed network.The work of research in this paper can be summarized as follows:First,the algorithm can realize the self configuration of the wireless node,can automatically connect the network and work together,and the algorithm can guarantee the node to avoid excessive interference and achieve the required QoS standard by changing the power.The improved utility function is used to reduce the complexity.The utility function designed in this paper can not only satisfy the maximization of the overall benefit of all nodes,but also have conciseness.In the controllable range,algorithm design should limit the transmitting power of nodes,and take into consideration the influence of other nodes and their own benefits to select spectrum.Secondly,the potential game is used in the distributed network.This paper comprehensively considers the shared channel interference and detection interference to thesurrounding nodes when the spectrum sharing is shared,and reduces the system interference in practical applications.Finally,the performance of the proposed algorithm is proposed and the value of the utility function parameters is determined by the experiment.The simulation results show that the proposed algorithm is fair on the basis of energy saving.