适应性优化的交付决策模型,用于异质网络
Nada Ahmed Ezz-Eldien1, Heba M Abdel-Atty1, Mahmoud I Abdalla2,3
1Electrical Engineering Department, Faculty of Engineering, Port Said University, Port Said, Egypt.
PloS one
|November 15, 2023
概括
本研究引入了适应性优化的异质网络的垂直移交算法,显著减少不必要的移交,并改善负载分配,以提高移动网络性能.
科学领域:
- 移动通讯 移动通讯 移动通讯
- 网络工程 网络工程
- 优化算法 优化算法
背景情况:
- 异质网络 (HetNets) 对于满足移动用户不断变化的需求和提高网络性能至关重要.
- 垂直移交 (VHO) 算法对于在HetNets.net内保持无用户连接至关重要.
- 现有的VHO算法在实现最佳网络和以用户为中心的性能方面面临挑战.
研究的目的:
- 提出一个自适应优化的VHO算法,以提高HetNets的性能.
- 通过智能交付决策提高网络效率和用户体验.
- 在复杂的无线环境中解决当前VHO策略的局限性.
主要方法:
- 开发了一个自适应的VHO算法,将多属性决策 (MADM) 与粒子群优化和引力搜索算法 (PSOGSA) 集成在一起.
- 引入了新的控制参数:负载因子 (LF) 和分数优先级 (SP) 来管理交付和网络负载.
- 制定了一个由PSOGSA优化的目标函数,以确定交付执行的最佳LF和SP值.
主要成果:
- 拟议的算法将不必要的交付量减少了40%以上.
- 在负载分配方面取得了显著的改进,从20%到40%不等.
- 与传统的交付方法相比,在模拟的5G支持的HetNets中表现出卓越的性能.
结论:
- 适应性优化的VHO算法有效地提高了HetNet的性能.
- 整合MADM和元启发优化 (PSOGSA) 为VHO提供了一个强大的框架.
- 拟议的方法为未来的移动网络世代提供了一个有希望的解决方案,需要高效的资源管理和无连接.
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