针对密集macro-femto融合网络,提出一种基于长期稳定的切换(long-term-based handover,LTBH)决策算法.该算法由切换角(angle of handover,AHO)和逗留时间(time-to-stay,TTS)2种参数联合进行切换判决,从而有效减小冗余切换次数.首先,在大量候选基站(candidate base stations,CBSs)场景中提出了AHO参数,从而降低算法的计算复杂度.其次,针对固定基站和移动基站2种基站模型,分别提出了2种TTS参数用于切换用户的切换决策.仿真结果显示,所提的LTBH算法能够在密集macro-femto网络中保证移动用户一定传输速率的基础上有效地降低网络中的切换次数. Aiming at dense macro-femto convergence networks, a long-term-based handover (LTBH) decision algorithm is proposed, which consists of angle of handover (AHO) and time-to-stay , TTS), the number of redundant handover can be reduced effectively.Firstly, AHO parameters are proposed in a large number of candidate base stations (CBSs) scenarios to reduce the computational complexity of the algorithm.Secondly, Two kinds of base station models for fixed base station and mobile base station are proposed respectively, and two kinds of TTS parameters are proposed for handoff handover decision. Simulation results show that the proposed LTBH algorithm can guarantee mobile users certain transmission rate in dense macro-femto networks Based on the effective reduction of the number of network switching.