Handover Performance Evaluation Under Dynamic User Characteristics
Handover Performance Evaluation Under Dynamic User Characteristics
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DOI：
10.1007/s11277-021-08595-w
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发表时间：
2021-06-02
影响因子：
2.2
通讯作者：
Lema, Gebrehiwet Gebrekrstos
中科院分区：
文献类型：
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作者：
Lema, Gebrehiwet Gebrekrstos
在移动的网络中，当用户仍然从一个演进节点B（eNB）移动到另一个eNB或者从同一eNB内的一个扇区移动到另一个扇区时，维持正在进行的呼叫是关键的。这种现象被称为切换（HO）。正确的HO决策避免了掉话率和ping池，从而保持了足够的服务质量。由于HO参数具有竞争利益，因此HO失败和HO乒乓的同时建立是困难的问题。因此，在本文中，通过优化HO控制参数，包括时间触发，HO偏移，和HO余量，HO性能进行评估。一个著名的启发式算法，称为粒子群优化（PSO）也集成到调整HO控制参数。此外，一个自组织的网络被应用到提高网络的性能，通过自动化的移动性负载平衡（MLB）和粒子群算法。在动态用户移动性和业务负载下评估HO乒乓（HOPP）和HO失败（霍夫）。仿真结果表明，基于优化MLB的霍夫和HOPP与普通的HO性能增强技术相比，性能有了明显的改善。
In mobile networks, maintaining the on-going call is critical while the user is still moving from one evolved node B (eNB) to another eNB or one sector to another sector within the same eNB. This phenomenon is called handover (HO). Proper HO decision avoids the call drop rate and ping-pond which maintains adequate Quality of Service. As HO parameters have competing interests, simultaneous setup of the HO failure and HO ping-pong is difficult problem. Hence, in this paper, the HO performance is evaluated by optimizing the HO control parameters including time to trigger, HO offset, and HO margin. A famous heuristic algorithm called Particle Swarm optimization (PSO) is also integrated to adjust the HO control parameters. Besides, a self-organized network is applied to enhance the network performance by automating the mobility load balancing (MLB) and PSO. The HO ping-pong (HOPP) and HO failure (HOF) are evaluated under dynamic user mobility and traffic loads. The simulation results have shown that the optimization-MLB based HOF and HOPP are significantly improved compared to the ordinary HO performance enhancement techniques.