Research On Short-Wave Spectrum Resource Allocation Algorithm Based On Learning And Reputation Mechanism

In recent years, the number of wireless mobile users is increasing with the development of mobile Internet, internet of things and intelligent terminals. Because the wireless spectrum is the carrier of wireless mobile communication, it has the characteristics of finiteness, renewability, exclusive and vulnerability. Therefore, the demand for spectrum resources becomes more and more large with a growing number of wireless mobile users. The short-wave frequency band is narrow so that the scarce short-wave spectrum resources become very valuable. How to allocate the short-wave spectrum resource has become one of the research focuses in the field of wireless communication in recent years. In this paper, spectrum resource allocation algorithm is proposed to solve the problem of resource allocation. The algorithm is based on chicken game, and select the game strategy by using Poisson distribution, and learning and reputation mechanism is proposed. We will simulate and analyze the spectrum resource allocation problem in different conditions.The main contents of this paper have the following points:Firstly, introduces the characteristics of short-wave communication and the short-wave spectrum resources, and introduces current achievements of spectrum resource allocation. These contents include spectrum resource allocation based on graph theory model, pricing auction mechanism as well as game theory model and so on. And on this basis, the paper introduces the concept of game theory and the application of game theory in short-wave spectrum resource allocation. Because game theory is an effective method of resource allocation, it will be very appropriate by applying to the study of short-wave spectrum resource allocation.Secondly, the application of chicken game in game theory to the short-wave spectrum resource allocation scheme is a research focus of this study. We simulate and analyze the scene of two users competing a short spectrum resource. And select the game strategy by using Poisson distribution, and learning and reputation mechanism is proposed. The learning mechanism is added to improve the utilization of the spectrum resource. The reputation mechanism is added to ensure the fairness among users. Simulation results show that the algorithm not only can improve the spectrum utilization, but also can ensure the fairness among users.Finally, we join the learning mechanism and reputation mechanism on the basis of a spectrum resource of two users. In order to find a reasonable learning step and reputation, and analyzed the learning step size is 5, 10, 15, 20, 30, 50, and the reputation of 1 to 20, and so on. The results show that the different learning steps and reputation have great influence on the allocation of spectrum resources. However, considering the high spectrum efficiency and fairness, the learning step is 20, and the reputation value is 12.The short-wave spectrum resource allocation technique based on the game theory has been regarded as a new path to the resource allocation study. The coming-together of short-wave spectrum resource allocation and the game theory will definitely lay a more solid theoretic foundation for the development of short-wave communication, and inject more pushing power into this academic field.