{"title":"基于Firefly算法的基站布局优化","authors":"M. Muharram, S. Suyanto","doi":"10.1109/ISRITI51436.2020.9315462","DOIUrl":null,"url":null,"abstract":"Long-Term Evolution (LTE), also known as the 4th generation (4G) is a system currently seen as a development system of UMTS/HSPA, which is one of the 3rd generation (3G) evolutions. One of the supporting components of the LTE network is ENodeB. An ENodeB can be analogous to a Base Transceiver Station (BTS). As customer needs are increasing, the need for BTS (ENodeB) is also increasing. It causes a large number of base stations. On the other hand, the construction of new base stations will certainly cost a lot and cause temper the city's landscape. Therefore, it is necessary to optimize the BTS placement. Hence, in this research, we design a simulation of BTS placement optimization using the firefly algorithm (FA) with the parameter to be optimized is the coverage area and traffic. The fitness value obtained from this study reached 97.73% and reduced existing BTS by 50%. This fitness is comparable with the hybrid evolutionary FA (HEFA)-based model, which produces an average fitness of 98.62%.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Firefly Algorithm-based Optimization of Base Transceiver Station Placement\",\"authors\":\"M. Muharram, S. Suyanto\",\"doi\":\"10.1109/ISRITI51436.2020.9315462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Long-Term Evolution (LTE), also known as the 4th generation (4G) is a system currently seen as a development system of UMTS/HSPA, which is one of the 3rd generation (3G) evolutions. One of the supporting components of the LTE network is ENodeB. An ENodeB can be analogous to a Base Transceiver Station (BTS). As customer needs are increasing, the need for BTS (ENodeB) is also increasing. It causes a large number of base stations. On the other hand, the construction of new base stations will certainly cost a lot and cause temper the city's landscape. Therefore, it is necessary to optimize the BTS placement. Hence, in this research, we design a simulation of BTS placement optimization using the firefly algorithm (FA) with the parameter to be optimized is the coverage area and traffic. The fitness value obtained from this study reached 97.73% and reduced existing BTS by 50%. This fitness is comparable with the hybrid evolutionary FA (HEFA)-based model, which produces an average fitness of 98.62%.\",\"PeriodicalId\":325920,\"journal\":{\"name\":\"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISRITI51436.2020.9315462\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISRITI51436.2020.9315462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

长期演进(LTE),也被称为第四代(4G),是目前被视为UMTS/HSPA开发系统的系统,是第三代(3G)演进之一。LTE网络的支持组件之一是ENodeB。ENodeB可以类似于基站收发器(BTS)。随着客户需求的增加,对BTS (ENodeB)的需求也在增加。它造成大量的基站。另一方面,新基站的建设肯定会花费很多,并造成城市景观的恶化。因此,有必要优化防弹少年团的位置。因此,在本研究中,我们设计了一个使用萤火虫算法(FA)的BTS布局优化仿真,优化参数为覆盖面积和流量。本研究获得的适应度值达到97.73%,减少了50%的现有BTS。该适应度与基于混合进化FA (HEFA)的模型相当,后者的平均适应度为98.62%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Firefly Algorithm-based Optimization of Base Transceiver Station Placement
Long-Term Evolution (LTE), also known as the 4th generation (4G) is a system currently seen as a development system of UMTS/HSPA, which is one of the 3rd generation (3G) evolutions. One of the supporting components of the LTE network is ENodeB. An ENodeB can be analogous to a Base Transceiver Station (BTS). As customer needs are increasing, the need for BTS (ENodeB) is also increasing. It causes a large number of base stations. On the other hand, the construction of new base stations will certainly cost a lot and cause temper the city's landscape. Therefore, it is necessary to optimize the BTS placement. Hence, in this research, we design a simulation of BTS placement optimization using the firefly algorithm (FA) with the parameter to be optimized is the coverage area and traffic. The fitness value obtained from this study reached 97.73% and reduced existing BTS by 50%. This fitness is comparable with the hybrid evolutionary FA (HEFA)-based model, which produces an average fitness of 98.62%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Combined Firefly Algorithm-Random Forest to Classify Autistic Spectrum Disorders Analysis of Indonesia's Internet Topology Borders at the Autonomous System Level Influence Distribution Training Data on Performance Supervised Machine Learning Algorithms Design of Optimal Satellite Constellation for Indonesian Regional Navigation System based on GEO and GSO Satellites Real-time Testing on Improved Data Transmission Security in the Industrial Control System
×
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