MIMO系统中连续博弈RRM算法

Successive game RRM algorithm for MIMO system

提出一种基于博弈论的连续博弈无线资源管理算法,将博弈论数学模型应用于多输入-多输出系统无线资源管理中,把其中的参数映射为博弈论数学模型中的“局中人”,将参数变化描述为“局中人”博弈过程.在仿真中,比较该算法与传统联合波束成形及功率控制算法.仿真结果表明,该算法在节省发射功率的同时,可提高输出信干噪比,达到两者最佳均衡.同时可有效克服期望的导引矢量和实际的导引矢量不匹配问题,使天线能准确对准期望用户方向,并能抑制干扰方向的信号,起到“零陷”作用.

A successive game RRM algorithm based on game theory was proposed, which introduced the game theory into radio resource management in MIMO system. The parameters of radio resource management were mapped the game theory as ＂player＂. The change of parameters in radio resource management was described as ＂player＂ game. In simulation, successive game RRM algorithm was compared with conventional joint beamforming and power control. Simulation results show that the proposed algorithm can decrense transmit power and increase output of SINR. It can reach optimal balance between transmit power and SINR. It also can overcome unmatchable problem between expected array manifold and actual array manifold and point to the desired user exactly and place mulls in the directions of interference.