A Resource Allocation Mothed Based On Game Theory And Cross-layer Mechanism For The Satellite Bandwidth

With the development of satellite communication technology and the diversification of services' types,the important issue which needs to be solved is how to efficiently allocate limited bandwidth resources.Owing to the dynamics of both the satellite network and the channel state,the cross-layer design mechanism can optimize overall network performance by exchanging the information among different layers.As each user could have different optimization objectives of the resources usage,and the choice of its strategy is closely related to the performance of other users.Therefore,the introduction to game theory is very effective in guiding the resources allocation of the network bandwidth.This dissertation proposes a novel satellite resource assignment method combined the cross-layer mechanism with game theory.By using the strategies of both the APP-MAC-PHY cross-layer access and a non-cooperative game for bandwidth resource allocation,it establishes a cooperative satellite communication network model with the single satellite and multi-users nodes.In the dynamic allocation of bandwidth resources,we adequately consider cross-layer information parameters and use the non-cooperative game theory model based on the price mechanism to find the optimal bandwidth allocation strategy for access nodes.In addition,this dissertation also proposes an improved particle swarm optimization algorithm for the standard PSO,which could search the game equilibrium solution in performance simulation,thus preventing the iterative results from being the local optimum by changing the factor of the iterative step length.Finally,this dissertation compares the proposed scheme with the traditional strategy.The result shows that,the proposed scheme can not only adapt wholly to the required QoS of some specific applications and the changeable network environment,but also remarkably improve the bandwidth utilization.Besides,it also guarantees that each node has the fairness in acquiring bandwidth resources.