5G和超越5G的能源效率:5G的潜力,局限性和未来方向
Adrian Ichimescu1, Nirvana Popescu1, Eduard C Popovici1
1Faculty of Automatic Control and Computer Science, Computer Science Department, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
本文审查了5G和超越网络的能源效率技术. 它分析了强化学习等算法,并提出了减少网络功耗和运营成本的未来方向.
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
- 网络优化 网络优化
背景情况:
- 能源效率对于5G新无线电 (NR) 和未来网络至关重要.
- 它影响用户设备 (UE) 的电池寿命和基站运营成本.
- 与延迟,吞吐量和可靠性平衡能源效率是必不可少的.
研究的目的:
- 对5G和超越网络的节能研究进行全面审查.
- 阐明各种节能技术的优点,缺点和特点.
- 确定局限性,并提出未来的研究方向,以提高网络效率.
主要方法:
- 对5G及以后的节能技术现有文献的审查.
- 算法的分析,包括强化学习,启发式算法,遗传算法和马尔科夫决策过程.
- 检查5G和5G NR中使用的混合标准算法.
主要成果:
- 确定了诸如计算成本,部署复杂性和可扩展性约束等关键限制.
- 评估了各种节能方法的优缺点.
- 突出了特定算法及其混合化的潜力.
结论:
- 未来的研究应该探索在线学习,基站聚类和硬交付 (HO) 以减少网络消耗.
- 这些进展可以帮助移动网络运营商实现降低碳排放和运营支出 (OPEX) 的目标.
- 优化能源效率对于可持续和具有成本效益的移动网络至关重要.
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