基于机器学习的频谱分配算法在无线通信系统中的应用
Application of Machine Learning Based Spectrum Allocation Algorithm in Wireless Communication Systems
王建珍1
作者信息
- 1. 苏州信息职业技术学院,江苏 215200
- 折叠
摘要
阐述受频谱资源稀缺、传统方法的限制,设计一种基于机器学习的频谱分配算法,包括数据处理、特征选择与提取、模型训练与优化.实验结果表明,该算法频谱分配性能优于传统方法.
Abstract
This paper expounds the design of a machine learning based spectrum allocation algorithm due to the scarcity of spectrum resources and limitations of traditional methods,including data processing,feature selection and extraction,model training and optimization.The experimental results show that the spectrum allocation performance of this algorithm is superior to traditional methods.
关键词
机器学习/频谱分配/无线通信系统Key words
machine learning/spectrum allocation/wireless communication systems引用本文复制引用
出版年
2024
NETL
NSTL
万方数据