RSRPSet: test dataset of the 16th CPGMCM

All data used for model evaluation and training are from the 16th Chinese National Graduate Mathematical Contest in Modeling (CNGMCM). The dataset is measured by HUAWEI TECHNOLOGIES CO., LTD, which includes engineering parameter data, map data and RSRP label data of multiple communities. And the dataset used in this letter is from the public dataset of CNGMCM, which is sponsored by the Ministry of Education's Degree and Graduate Education Development Center. The purpose of building the dataset is to find the mapping model between engineering parameters, geographical environment and RSRP, so as to quickly predict the RSRP value of a specific geographical location in the new environment.ATTENTION: This is Not the orginal dataset of CNGMCM. The data have beenpreprocessed according to the requested privacy rules.P.S.: Sorry for updating introduction and analysis of this dataset late, because I am bothered from the COVID-19in our city. I have removed some infomation about this dataset since Privacy Requirements of a paper submitted.用于模型评估与训练的全部数据均源自第16届中国全国研究生数学建模竞赛（Chinese National Graduate Mathematical Contest in Modeling，以下简称CNGMCM）。该数据集由华为技术有限公司（HUAWEI TECHNOLOGIES CO., LTD）采集得到，涵盖多个社区的工程参数数据、地图数据及参考信号接收功率（Reference Signal Receiving Power，以下简称RSRP）标签数据。本文所用数据集取自CNGMCM公开数据集，该数据集由教育部学位与研究生教育发展中心主办。构建该数据集的核心目标是挖掘工程参数、地理环境与RSRP之间的映射关系模型，进而实现对新环境中特定地理位置的RSRP值进行快速预测。 注意：本数据集并非CNGMCM的原始数据集，已按照相关隐私规范完成预处理。 附言：因我市受新冠疫情（COVID-19）影响，延误了本数据集的介绍与分析更新，在此致歉。因已提交论文的隐私要求，我已移除本数据集的部分相关信息。

搜集汇总

背景与挑战

背景概述

该数据集来自第16届中国研究生数学建模竞赛，由华为测量，包含工程参数、地图数据和参考信号接收功率（RSRP）标签数据，旨在建立参数与环境到RSRP的映射模型以进行快速预测。数据已预处理为.pickle格式，强调隐私保护，并应用于卷积神经网络特征提取研究，支持机器学习方法如KNN和SVM。