Flexible Channel Allocation for Better Traffic Management in Microcellular Mobile Communication System using Fuzzy logic

G. M. Mir, Nisar A. Lala, A. A. Balkhi
{"title":"Flexible Channel Allocation for Better Traffic Management in Microcellular Mobile Communication System using Fuzzy logic","authors":"G. M. Mir, Nisar A. Lala, A. A. Balkhi","doi":"10.13005/OJCST11.01.06","DOIUrl":null,"url":null,"abstract":"Various microcells have high traffic density during peak hours, the problems are further exacerbated by the traffic overloading in downtown areas at peak hours. The reliable and efficient communication demands unnoticed handoff to the user without deteriorating the signal strength. Current cellular system exhibits a varying traffic conditions depending upon the corresponding variations in population which is low in rural areas and high in downtown areas. The traffic density becomes even higher at peak hours and low at night hours. The acceptable service quality demands optimum use of frequency spectrum for obtaining maximum traffic throughput. The efficient allocation of channels on need basis can be one of the solutions for efficient traffic management during peak hours. In Flexible Channel Allocation scheme (FlCA), the available channels are divided in fixed and flexible set channels. Fixed set channels are normally assigned to all the cells and the number of channels is decided by the approximate calculated load of particular cell that typically suffices the traffic load of cell. The flexible channels are assigned to those cells whose channels are inadequate under increased traffic load conditions. These channels are assigned in accordance with demand of increased traffic loads. Fuzzy logic approach being flexible is explored for assigning these flexible channels for enhanced QoS. Oriental Journal of Computer Science and Technology Journal Website: www.computerscijournal.org ISSN: 0974-6471, Vol. 11, No. (1) 2018, Pg. 29-33","PeriodicalId":270258,"journal":{"name":"Oriental journal of computer science and technology","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oriental journal of computer science and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13005/OJCST11.01.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Various microcells have high traffic density during peak hours, the problems are further exacerbated by the traffic overloading in downtown areas at peak hours. The reliable and efficient communication demands unnoticed handoff to the user without deteriorating the signal strength. Current cellular system exhibits a varying traffic conditions depending upon the corresponding variations in population which is low in rural areas and high in downtown areas. The traffic density becomes even higher at peak hours and low at night hours. The acceptable service quality demands optimum use of frequency spectrum for obtaining maximum traffic throughput. The efficient allocation of channels on need basis can be one of the solutions for efficient traffic management during peak hours. In Flexible Channel Allocation scheme (FlCA), the available channels are divided in fixed and flexible set channels. Fixed set channels are normally assigned to all the cells and the number of channels is decided by the approximate calculated load of particular cell that typically suffices the traffic load of cell. The flexible channels are assigned to those cells whose channels are inadequate under increased traffic load conditions. These channels are assigned in accordance with demand of increased traffic loads. Fuzzy logic approach being flexible is explored for assigning these flexible channels for enhanced QoS. Oriental Journal of Computer Science and Technology Journal Website: www.computerscijournal.org ISSN: 0974-6471, Vol. 11, No. (1) 2018, Pg. 29-33
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
基于模糊逻辑的微蜂窝移动通信系统灵活信道分配优化业务管理
各种微蜂窝在高峰时段的交通密度较大,而市区在高峰时段的交通超载则进一步加剧了这一问题。可靠、高效的通信要求在不影响信号强度的情况下不被注意地切换给用户。当前的蜂窝系统表现出不同的交通状况,这取决于相应的人口变化,农村地区低,市中心地区高。交通密度在高峰时段更大,而在夜间更低。可接受的业务质量要求频谱的最佳利用,以获得最大的业务吞吐量。根据需要有效地分配通道,可以成为高峰时段有效交通管理的解决方案之一。在柔性信道分配方案(FlCA)中,可用信道分为固定信道和柔性信道。固定信道通常分配给所有单元,信道的数量由特定单元的近似计算负载决定,该单元通常足以满足单元的业务负载。柔性信道被分配给那些在增加的业务负载条件下信道不足的小区。这些通道是根据交通负荷增加的需要而分配的。探索了灵活的模糊逻辑方法来分配这些灵活的信道以增强QoS。东方计算机科学与技术学报网站:www.computerscijournal.org ISSN: 0974-6471,第11卷第1期。(1) 2018,第29-33页
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
Logical Foundations for Reasoning in Cyber - Physical Systems A Reinforcement Learning Paradigm for Cybersecurity Education and Training Physical Distancing Detection System with Distance Sensor for Covid-19 Prevention A Comparison Between Position-Based and Image-Based Multi-Layer Graphical user Authentication System Arduino Uno Based Child Tracking System Using GPS and GSM
×
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