Self-optimization of Handover Control Parameters for Mobility Management in 4G/5G Heterogeneous Networks
Self-optimization of Handover Control Parameters for Mobility Management in 4G/5G Heterogeneous Networks
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DOI：
10.3103/s014641161905002x
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发表时间：
2019-09-01
影响因子：
0.9
通讯作者：
Saddam, A.
中科院分区：
文献类型：
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作者：
Abdulraqeb, A.;Mardeni, R.;Saddam, A.
下一代移动的网络中的大量小小区预计将被部署以满足5G需求。移动性管理是异构网络中需要相当关注的重要问题之一，其中5G超密集小型小区与当前4G网络共存。一个有效的切换（HO）机制被引入到解决这个问题，并通过调整HO控制参数（HCP），即，触发时间和HO余量，以改善移动性管理。动态HCP（D-HCP），探索用户体验，以调整HCP和作出HO决定，在一个自我优化的方式，本文提出。D-HCP将HO失败（霍夫）分为三类，即，过晚HO、过早HO和错误小区HO，并且同时根据主导霍夫来调整HCP。该算法使用不同的性能指标，如HO乒乓，无线链路故障和中断时间，不同的移动的速度的情况下进行评估。仿真结果表明，所提出的D-HCPs算法自适应地优化了HCP，并优于文献中的其他算法。
A large number of small cells in the next-generation mobile networks is expected to be deployed to satisfy 5G requirements. Mobility management is one of the important issues that require considerable attention in heterogeneous networks, where 5G ultra-dense small cells coexist with the current 4G networks. An efficient handover (HO) mechanism is introduced to address this issue and improve mobility management by adjusting HO control parameters (HCPs), namely, time-to-trigger and HO margin. Dynamic HCPs (D-HCPs), which explores user experiences to adjust HCPs and make an HO decision in a self-optimizing manner, is proposed in this paper. D-HCPs classify HO failure (HOF) into three categories, namely, too late, too early and wrong cell HO, and simultaneously adjust HCPs according to the dominant HOF. The algorithm is evaluated using different performance metrics, such as HO ping-pong, radio link failure and interruption time, with different mobile speed scenarios. Simulation results show that the proposed D-HCPs algorithm adaptively optimizes the HCPs and outperforms other algorithms from the literature.