关于绿色启用者的调查:基于人工智能的5G网络的能源效率研究
Zeinab Ezzeddine1,2, Ayman Khalil3, Besma Zeddini2
1Laboratory of Electrochemistry of Materials for Energetics (LEME) EA 4416, University Paris, 92410 Nanterre, France.
Sensors (Basel, Switzerland)
|July 27, 2024
概括
人工智能 (AI) 集成到第五代 (5G) 网络中可以提高能源效率,而不会牺牲关键性能指标. 这项研究探讨了用于优化5G能源消耗的AI策略,同时保持服务质量.
科学领域:
- 电信工程 电信工程 电信工程
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 全球能源消耗的减少至关重要,需要第五代 (5G) 网络的能源效率.
- 确保节能不会降低服务质量 (QoS) 和用户体验等关键绩效指标 (KPIs) 是一个重大挑战.
- 先进的无线技术和人工智能 (AI) 等新兴趋势正在被整合到5G网络设计中.
研究的目的:
- 调查和分析人工智能在5G网络中的整合,特别是为了提高能源效率.
- 通过人工智能识别优化5G网络能源消耗的策略和技术.
- 确保人工智能驱动的能源效率措施保持所需的网络性能和用户体验.
主要方法:
- 文献综述和对5G网络中人工智能应用的当前研究进行分析.
- 探索与网络能源优化相关的AI技术,包括机器学习 (ML).
- 检查人工智能集成如何影响5G网络层和整体性能指标.
主要成果:
- 人工智能为优化5G网络能源消耗提供了巨大的潜力.
- 可以在不同的网络层中采用各种AI驱动的策略来节省能源.
- 整合人工智能可以有效地平衡能源效率目标与维护关键网络关键指标.
结论:
- 人工智能是实现5G网络能源效率的关键推动因素.
- 人工智能技术的战略整合对于可持续的5G发展至关重要.
- 对人工智能驱动的5G能源管理进行进一步的研究是有必要的,以最大限度地提高效益,同时确保性能.
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