数据链中基于动态博弈的联合功率与速率控制

为了满足机间数据链多种业务功能的需求以及大数据量战场信息传输需求,需要对各节点传输速率和发射功率进行联合控制,提出了一种基于动态博弈的联合功率与速率控制算法.在速率与功率控制中同时引入动态博弈,解决了传输速率与发射功率的最优化问题,证明了该算法纳什均衡点的存在性和唯一性.通过算法仿真表明,提出的动态博弈算法与固定速率功率分配算法、传统的静态博弈联合控制算法相比,各节点的传输速率值至少提升了约50.92%,收敛速度提升了约50%,发射功率收敛速度提升了80%,使系统具备更强的稳定性和公平性. 

Joint Rate and Power Control Based on Dynamic Game Theory in Data Link System

As IFDL(intra flight data link) is required to support heterogeneous operations and the transmission of large amounts of battlefield information, it is necessary to perform joint control over different transmission rates and powers for each node. To fulfill this purpose, an algorithm based on dynamic game theory is proposed. By applying this algorithm, the transmission rate and power are optimized, and the existence and uniqueness of the Nash equilibrium are proved. The simulation results show that compared to the fixed rate and distributed power control algorithm using static game theory, this algorithm has improved the transmission rate of each node by 50.92% at least, the convergence of transmission rate by 50%, and the convergence of transmission power by 80%, which demonstrates that it can facilitate the stability and fairness of the IFDL system.