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节能传输天线选择与快速ABC提升

Xiaofeng Yang¹, Jie Qiu², Danlei Mo¹

¹School of Physics and Telecommunication Engineering, Yulin Normal University, Yulin Guangxi, China.

Scientific reports

|November 5, 2025

概括

在多输入多输出 (MIMO) 系统中,使用新的快速-ABC-提升分类技术,优化了对能源效率 (EE) 的天线选择. 这种方法优于深度强化学习和粒子群优化方法.

科学领域:

无线通信是一种无线通信.
信号处理信号处理
机器学习是机器学习.

背景情况:

多输入多输出 (MIMO) 系统提供增强的数据速率,但面临能源消耗挑战.
天线选择是MIMO系统中提高能源效率 (EE) 的关键策略.
现有的天线选择方法通常涉及复杂的优化或学习算法.

研究的目的:

为MIMO系统开发一种新的,节能的天线选择技术.
解决天线选择问题作为一个多类分类任务.
通过先进的分类来最大限度地提高MIMO系统中的能源效率 (EE).

主要方法:

提出了一种基于快速自适应基类提升 (快速ABC提升) 的天线选择技术.
快速-ABC-提升增强弱分类器的性能,如回归树,以形成一个强大的决策委员会.
该技术将天线选择作为EE最大化的多类分类问题.

主要成果:

与现有方法相比,Fast-ABC-Boost表现出优越的能源效率 (EE) 性能.
拟议的技术显示出比深度强化学习 (DRL) 和循环二进制粒子群优化 (CBPSO) 更好的EE性能.
该方法实现了高EE性能与可行的计算复杂性.

结论:

快速-ABC-提升为MIMO系统中天线选择提供了高效和节能的解决方案.
基于分类的方法为传统的优化和DRL方法提供了有竞争力的替代方案.
这种技术为开发节能无线通信系统提供了一个有前途的方向.

关键词:

选择天线的选择增强的提升提高的提升美国的EEEEEEEEEE 这就是"MIMO MIMO".多个类别的分类分类.

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