Research On Spectrum Sharing Scheduling Mechanism Of Distributed Antenna System Based On Stackelberg Game Theory

The continuous progress of modern communication technology and the increasing demand for diversified communication,such as voice communication and video communication,make the very limited spectrum resources increasingly scarce and severely restrict the development of wireless communication technology.At the same time,traditional spectrum resource allocation methods have been unable to meet people's communication needs.On the other hand,with the rapid development of the fifth generation of mobile communications,the Distributed Antenna System(DAS)has been widely used as a key technology.Therefore,it has great significance to design an efficient and perfect spectrum sharing model under the distributed antenna system.In order to solve this problem,this paper will study a DAS spectrum sharing scheduling algorithm optimized by Whale Optimization Algorithm(WOA)based on Stackelberg game theory.The main work of this article includes the following aspects:Firstly,research a dual-target WOA optimization algorithm.The Whale Optimization Algorithm is a meta-heuristic algorithm.It has wide range of strong search capabilities,strong parallel computing capabilities,and easy to implement.The traditional whale optimization algorithm mainly simulates the capture behavior of a single prey and easily fall into local optimum.The improved algorithm will reasonably depend on factors such as the importance of prey,distance,and hunting behavior.It will consider dual-target capture to adapt to multi-target environment.Simulation results show that the improved algorithm can converge well under a certain number of iterations in the environment with two targets at the same time,and overcomes the shortcoming of being easily falling into local optimum.It lays certain theoretical foundation for the practical application of whale optimization algorithm in multiple scenarios.Secondly,a dual-target WOA optimized DAS spectrum sharing scheduling algorithm based on Stackelberg game theory is studied.Due to the confidentiality of the game participants,spectrum sharing based on the Bertrand game model cannot reflect the actualspectrum allocation needs.Spectrum sharing based on the Stackelberg game model can reflect the actual spectrum needs.This article will introduce the Stackelberg game model to design a dual-target WOA optimized DAS spectrum sharing scheduling algorithm,consider the cognitive user fairness in the algorithm,and obtain the optimal spectrum allocation result through the dual-target WOA optimization algorithm.Finally,a simulation experiment was performed on the improved spectrum sharing scheduling method through MATLAB,and performance comparison was performed from multiple indicators such as optimal pricing,authorized user benefits,cognitive user benefits and system utility.The simulation results show that the dual-target WOA-optimized DAS spectrum sharing scheduling algorithm based on the Stackelberg game model proposed in this paper has a good spectrum sharing allocation result,it can achieve fair and efficient spectrum allocation,and provides an important reference solution for future new network sharing modes.