Refarming Performance Analysis of Mobile Broadband System in Indonesia

Prita Dewi Mariyam, Vivi G. Anggraini, Adis Alifiawan, C. Apriono
{"title":"Refarming Performance Analysis of Mobile Broadband System in Indonesia","authors":"Prita Dewi Mariyam, Vivi G. Anggraini, Adis Alifiawan, C. Apriono","doi":"10.1109/IAICT50021.2020.9172023","DOIUrl":null,"url":null,"abstract":"In telecommunication industries, the radio frequency spectrum is a limited natural resource that should be managed and utilized effectively and efficiently. One critical issue is operators possibly assigned in uncontiguous spectrum allocations that may affect their optimum services. This paper proposes the process and analysis of a refarming application process to rearrange radio frequency in the 800 and 900 MHz bands to become contiguous bands for Indonesia telecommunication systems. The systems performances are analyzed in two main parameters in telecommunication industries, namely the dropcall and Standalone Dedicated Control Channel (SDCCH) success rate. The refarming process results dropcall and SDSR average of less than 1% and greater than 95%, respectively. This value is influenced by the signal’s quality in each cluster, weather, and geographical conditions. Also, an analysis of the timing of refarming was carried out in each cluster, and the results of the CDF regression is close to the two-order polynomial regression. The mobile network operators that have had contiguous frequency allocation can upgrade their network and deliver better user experience with a higher mobile broadband capacity.","PeriodicalId":433718,"journal":{"name":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"166 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAICT50021.2020.9172023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In telecommunication industries, the radio frequency spectrum is a limited natural resource that should be managed and utilized effectively and efficiently. One critical issue is operators possibly assigned in uncontiguous spectrum allocations that may affect their optimum services. This paper proposes the process and analysis of a refarming application process to rearrange radio frequency in the 800 and 900 MHz bands to become contiguous bands for Indonesia telecommunication systems. The systems performances are analyzed in two main parameters in telecommunication industries, namely the dropcall and Standalone Dedicated Control Channel (SDCCH) success rate. The refarming process results dropcall and SDSR average of less than 1% and greater than 95%, respectively. This value is influenced by the signal’s quality in each cluster, weather, and geographical conditions. Also, an analysis of the timing of refarming was carried out in each cluster, and the results of the CDF regression is close to the two-order polynomial regression. The mobile network operators that have had contiguous frequency allocation can upgrade their network and deliver better user experience with a higher mobile broadband capacity.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
印度尼西亚移动宽带系统重耕性能分析
在电信工业中,无线电频谱是一种有限的自然资源,应该得到有效和高效的管理和利用。一个关键的问题是运营商可能被分配在不连续的频谱分配中,这可能会影响他们的最佳业务。本文提出了重组应用程序的过程和分析,以重新排列800和900 MHz频段中的无线电频率,使其成为印度尼西亚电信系统的连续频段。分析了该系统在电信行业中的两个主要参数,即丢呼成功率和独立专用控制通道(SDCCH)成功率。复养过程的dropcall平均值小于1%,SDSR平均值大于95%。该值受每个集群的信号质量、天气和地理条件的影响。同时,对各聚类的复养时间进行了分析,CDF回归的结果接近于二阶多项式回归。拥有连续频率分配的移动网络运营商可以升级其网络,以更高的移动宽带容量提供更好的用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Human Target Search and Detection using Autonomous UAV and Deep learning Refarming Performance Analysis of Mobile Broadband System in Indonesia Human Activity Recognition System using Smart Phone based Accelerometer and Machine Learning Analyzing Different Unstated Goal Constraints on Reinforcement Learning Algorithm for Reacher Task in the Robotic Scrub Nurse Application Gain Performance Analysis of A Parabolic Reflector Fed with A Rectangular Microstrip Array Antenna
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1