摘要
随着5G技术和通信设备的快速发展,通信运营商、网络优化公司逐步意识到拥有自己独立开发的程序,对于完成实际工作中的依靠人力从事重复和易出错的无线小区数据制作工作的重要性。对于非技术人员而言,开发一个批量生成无线5G、LTE无线小区数据和邻区脚本的程序可能会面临诸多困难。本论文旨在介绍使用Python编程语言开发华为、中兴、爱立信等厂家的通信设备无线小区数据制作软件的设计与实现。无线小区数据制作软件设计的开发初始即定位于满足爱立信5G、LTE集中软控小区数据自动生成的需求。本文将首先介绍无线小区数据制作软件的背景和意义,然后提出了基于Python的无线小区数据制作软件的设计与实现,并介绍了软件的主要功能和特性。最后,通过实际案例和用户反馈,验证了该软件的可行性和实用性,并探讨了未来的发展方向。
With the rapid development of 5G technology and communication equipment,communication operators and network optimization companies have gradually realized the importance of having their own independently developed programs for completing the repetitive and error prone wireless cell data production work in practical work.For non-technical personnel,developing a program that generates wireless 5G,LTE wireless cell data and neighboring cell scripts in bulk may face many difficulties.This paper aims to introduce the design and implementation of wireless community data production software for communication equipment developed by manufacturers such as Huawei,ZTE,and Ericsson using Python programming language.The development of wireless community data production software was initially aimed at meeting the needs of Ericsson's 5G and LTE centralized soft expansion for automatic generation of community data.This article will first introduce the background and significance of wireless community data creation software,then propose the design and implementation of a wireless community data creation software based on Python,and introduce the main functions and characteristics of the software.Finally,the feasibility and practicality of the software were verified through practical cases and user feedback,and future development directions were discussed.
作者
吕雪冬
崔振堂
张增栋
樊玄飞
佟耀华
LYU Xuedong;CUI Zhentang;ZHANG Zengdong;FAN Xuanfei;TONG Yaohua(Shandong China Mobile Communication Technology Co.,Ltd.,Ji’nan,Shandong,250000,China)
出处
《智能城市应用》
2023年第11期52-55,共4页
Smart City Application
关键词
PYTHON语言
无线小区数据和邻区脚本制作软件
智能化
批量生产
可行性
Python language
wireless community data and neighboring script production software
intelligence
mass production
feasibility