提出了一种基于单调优化的多小区分布式波束成形算法,该算法首先去耦合将集中式全局和速率最大化问题转分布式优化问题,然后通过将目标函数构造为两个递增函数之差,进一步将其转换为单调优化问题.在此基础上,利用Polyblock外逼近法对问题进行了求解.仿真实验结果表明:该算法只需要使用本地信道信息,而收敛速率则更快. A multi-cell distributed beamforming algorithm based on monotonic optimization is proposed. The algorithm firstly decouples the centralized global and rate maximization problems to distributed optimization problems, then constructs the objective function as the difference between two increasing functions, The problem is further solved by the Polyblock extrapolation method.The simulation results show that this algorithm only needs to use the local channel information and the convergence rate is faster.