Localizing base stations with measured data:a concatenated image-based deep learning approach  

作　　者：Yang CHEN Ziyuan LIU Feng JIANG Hong SHEN Wei XU Mengyu LI Ritao CHENG 

机构地区：[1]National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China [2]China Mobile Group Design Institute Co.,Ltd.,Beijing 100080,China

出　　处：《Science China(Information Sciences)》2025年第2期381-382,共2页中国科学(信息科学)(英文版)

基　　金：supported by joint research and development project with the Wireless Network Department of China Mobile Design Institute,which is entitled“Research on New Wireless Networking and Antenna Technology”(Grant No.R23101PE);National Natural Science Foundation of China(Grant No.61871108)。

摘　　要：Localization has become an indispensable function of modern cellular communication systems[1].In a cloud radio access network(C-RAN),the remote radio head(RRH)is the actual signal transmitter,whose location can assist in wireless network layout optimization and wireless resource management.The measurement of the RRH location can only be done manually on-site due to the lack of global positioning systems(GPS)at the RRH side,which is thus not a cost-effective solution for the widely used C-RAN with a large number of RRH units.

关 键 词：NETWORK IMAGE BASE 

分 类 号：TN929.5[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程] TP18[自动化与计算机技术—计算机应用技术]