摘要
介绍了一种基于随机森林算法的智能NB-IoT覆盖评估新方法,通过人工智能算法解决了NB-IoT覆盖评估不精确的难题。首先从理论推导和实测矫正2个方面介绍了目前NB-IoT覆盖评估一般所采用的线性评估方法,然后介绍了基于随机森林算法的数据获取和模型构建,最后对比了NB-IoT覆盖线性评估方法和随机森林算法模型评估方法的结果。
A new method of intelligent NB-IoT coverage evaluation based on random forest algorithm is introduced.The problem of in-accurate NB-IoT coverage evaluation is solved by artificial intelligence algorithm.First,it introduces the linear evaluation methods currently used in NB-IoT coverage evaluation from theoretical derivation and measured correction.Then it introduc-es the data acquisition and model construction of random forest algorithm evaluation methods.Finally,it compares the results of the NB-IoT coverage linear evaluation method and random forest algorithm model evaluation.
作者
曾伟
刘哲
钟检荣
Zeng Wei;Liu Zhe;Zhong Jianrong(China Unicom Beijing Branch,Beijing 100038,China)
出处
《邮电设计技术》
2021年第8期80-83,共4页
Designing Techniques of Posts and Telecommunications
