A long-term-based handover decision algorithm for dense macro-femto coexistence networks  

密集macro-femto融合网络中基于长期逗留的切换决策算法（英文）

作　　者：刘诚毅[1] 邢松[2] 沈连丰[1] 

机构地区：[1]东南大学移动通信国家重点实验室,南京210096 [2]加利福尼亚州立大学洛杉矶分校信息系统系,美国洛杉矶90001

出　　处：《Journal of Southeast University(English Edition)》2017年第2期127-133,共7页东南大学学报（英文版）

基　　金：The National Natural Science Foundation of China(No.61471164);the Fundamental Research Funds for the Central Universities;the Scientific Innovation Research of College Graduates in Jiangsu Province(No.KYLX-0133)

摘　　要：For the dense macro-femto coexistence networks scenario, a long-term-based handover（LTBH） algorithm is proposed. The handover decision algorithm is jointly determined by the angle of handover（AHO） and the time-tostay（TTS） to reduce the unnecessary handover numbers.First, the proposed AHO parameter is used to decrease the computation complexity in multiple candidate base stations（CBSs） scenario. Then, two types of TTS parameters are given for the fixed base stations and mobile base stations to make handover decisions among multiple CBSs. The simulation results show that the proposed LTBH algorithm can not only maintain the required transmission rate of users, but also effectively reduce the unnecessary numbers of handover in the dense macro-femto networks with the coexisting mobile BSs.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.

关 键 词：handover decision algorithm angle of handover time-to-stay dense macro-femto coexistence networks mobile base station 

分 类 号：TN915[电子电信—通信与信息系统]