一种基于合作博弈框架的跨层资源分配算法

Cross-layer Resource Allocation Algorithm Based on Cooperative Game Theory Framework

针对多用户MIMO-OFDM系统的下行链路提出了一种基于合作博弈框架的跨层资源分配算法,结合MAC层的QoS要求得出用户速率限制条件,建立了基于RBS议价方案的优化模型。以RBS的Pareto最优解为目标,在满足用户的最大和最小速率基础上使得用户速率尽可能接近Pareto最优解。仿真表明,算法较好的平衡了用户速率与公平性,并满足了MAC层的丢包率要求。

A cross-layer resource allocation algorithm based on cooperative game theory framework was proposed for the downlink of multi-user MIMO-OFDM system.The constraints of user data rate were given out by the QoS requirements in MAC layer,and the optimization model based on RBS was built.The algorithm allocated system resource on the basis of Pareto optimal solution.After each user＇s maximum and minimal rate was guaranteed,the algorithm made the user data rate approach to the Pareto optimal solution.Simulation results show that the algorithm can get a good tradeoff between user data rate and fairness while satisfying the packet drop rate requirement of the MAC layer.