A beamforming algorithm for multi-base station cooperation based on Game Theory is proposed to suppress the inter-cell interference, which can improve the system performance. The algorithm is an it-erative algorithm for maximizing its own interests when the selected strategies of other cells are known. With this algorithm, the user rate maximization is formulated as a utility function optimization problem and is solved in its equivalent form. The Nash Equilibrium existence and uniqueness of the algorithm are also proved. Moreover, the steps of solving Nash Equilibrium are also provided. Numerical simulations show that, compared with non-cooperative algorithm, the proposed algorithm is capable of nulling interfering us-ers and reducing the inter-cell interference with a good convergence.%为抑制小区间干扰，提出了一种基于博弈论的多基站协作波束成形算法，并将该算法应用于多基站协作通信系统模型。该算法是在已知其他小区策略选择的情况下，最大化自身利益的迭代算法。在此基础上研究了将最大化用户速率问题转化为效用函数优化问题进行求解，然后证明其纳什均衡的存在性和唯一性，最后给出求解纳什均衡的步骤。仿真结果表明，相对于非协作算法，所提算法在期望用户方向上保持较高的增益，同时有效地零陷干扰用户，达到抑制小区间干扰的目的，并且具有很好的收敛性。
展开▼
