基于合作博弈的CPS通信资源分配算法

Cyber-physical system communication resource allocation algorithm based on cooperative game theory

为了提高信息物理融合系统的通信速率,同时保证各用户的QoS需求,提出了一种基于合作博弈的CPS通信资源分配算法。将CPS中OFDMA网络下行链路的资源分配过程建模为多用户间的合作博弈,通过求解纳什议价解,实现用户间的Pareto最优性。仿真结果表明,该算法在系统速率最大化和用户公平性上获得了很好的折中,与最大化系统速率算法相比更具有公平性,与最大化最小公平性算法相比速率提高了34%,在一定程度上提高了CPS通信网络的性能。

A resource allocation algorithm based on cooperative game theroy is proposed to balance the cyber-physical sys-tem（CPS）communication capacity and the user＇s QoS fairness. The algorithm focuses on CPS multi-user resource allocation in downlink of orthogonal frequency division multiple access（OFDMA）networks,and resource allocation process is modeled by co-operative games between users. Pareto optimality between users was implemented through solving the Nash bargaining solution. Simulation results indicate that a good compromise between the maximise system capacity and the QoS fairness was obtained through the algorithm. Compared with the max-min fairness algorithm,the data rate of this algorithm increased by a factor of about 1/3,which achieved a better fairness than the max-rate algorithm did. To some degree,this algorithm improved the perfor-mance of CPS communication network.