Abstract
Cognitive radio (CR) method was introduced in smart grid communication systems to resolve potential maladies such as the coexistence of heterogeneous networks, overloaded data flow, diversity in data structures, and unstable quality of service (QOS). In this paper, a cognitive spectrum allocation algorithm based on non-cooperative game theory is proposed. The CR spectrum allocation model was developed by modifying the traditional game model via the insertion of a time variable and a critical function. The computing simulation result shows that the improved spectrum allocation algorithm can achieve stable spectrum allocation strategies and avoid the appearance of multi-Nash equilibrium at the expense of certain sacrifices in the system utility. It is suitable for application in distributed cognitive networks in power grids, thus contributing to the improvement of the isomerism and data capacity of power communication systems.
Highlights
The generation of electrical power grids is known as Smart Grid [1], which is characterized by high security, intellectuality, autonomy, and efficiency
Considering the actual situation of home area network (HAN), in order to deal with the multi-Nash equilibrium problem of non-cooperative game based spectrum allocation in Cognitive radio (CR) networks, the variation of utility of cognitive users is used to judge the stability after several iterations, and design an improved non-cooperative spectrum allocation algorithm
High-speed communication system is essential in a smart grid, and improving its communication performance can aid in providing better services
Summary
The generation of electrical power grids is known as Smart Grid [1], which is characterized by high security, intellectuality, autonomy, and efficiency. The users should contend for the limited free licensed transmission channels based on the needful target This idea resembles game theory in mathematics [7]. Both these existing algorithms have calculated without the multi-Nash equilibrium, which may cause misconvergence in the CR network. A modified CR spectrum allocation algorithm based on Teng et al non-cooperative game theory in Reference [10] will be proposed. The computing simulation consequence by testing software is used to demonstrate that this modified algorithm can achieve stable spectrum allocation strategies and avoid the appearance of multi-Nash equilibrium at the expense of certain sacrifices in the system utility in the smart grid communication system
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