Analysis of the Energy-Cognizant User Association and Load Distribution in a D2D-Enabled 5G Multi-Tier Heterogeneous Cellular Network

Mobasshir Mahbub, B. Barua, R. Shubair
{"title":"Analysis of the Energy-Cognizant User Association and Load Distribution in a D2D-Enabled 5G Multi-Tier Heterogeneous Cellular Network","authors":"Mobasshir Mahbub, B. Barua, R. Shubair","doi":"10.1109/SPICSCON54707.2021.9885579","DOIUrl":null,"url":null,"abstract":"For the evolving heterogeneous or multi-tier cellular networks biased factor or power-based user association is one of the most prominent user association schemes to enhance the network coverage. Whereas, device-to-device (D2D) communication enhances the coverage of the cellular network by enabling direct communication between user equipment when sufficient coverage is unavailable in case of a user and initiating communicating with another user having sufficient coverage from the base station. Therefore, the paper presented conceptual research and preliminary analysis considering a three-tier heterogeneous network formed by macro, micro, and femto tiers to analyze the user association with and without enabling D2D communication. The work moreover aimed to measure energy consumption and load distribution i.e. the average number of users in a base station of a selected tier (kth tier).","PeriodicalId":159505,"journal":{"name":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPICSCON54707.2021.9885579","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

For the evolving heterogeneous or multi-tier cellular networks biased factor or power-based user association is one of the most prominent user association schemes to enhance the network coverage. Whereas, device-to-device (D2D) communication enhances the coverage of the cellular network by enabling direct communication between user equipment when sufficient coverage is unavailable in case of a user and initiating communicating with another user having sufficient coverage from the base station. Therefore, the paper presented conceptual research and preliminary analysis considering a three-tier heterogeneous network formed by macro, micro, and femto tiers to analyze the user association with and without enabling D2D communication. The work moreover aimed to measure energy consumption and load distribution i.e. the average number of users in a base station of a selected tier (kth tier).
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d2d的5G多层异构蜂窝网络中能量认知的用户关联和负载分配分析
对于不断发展的异构或多层蜂窝网络,基于偏因子或功率的用户关联是增强网络覆盖的最重要的用户关联方案之一。然而,设备到设备(D2D)通信通过在用户无法获得足够覆盖的情况下启用用户设备之间的直接通信并启动与从基站具有足够覆盖的另一用户的通信来增强蜂窝网络的覆盖。因此,本文考虑由宏、微、飞三层构成的三层异构网络,进行概念研究和初步分析,分析启用D2D通信和不启用D2D通信时的用户关联。此外,这项工作旨在测量能耗和负载分布,即在所选层(第k层)的基站中的平均用户数量。
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
Compact Multiband Fern Fractal Antenna for GPS/Bluetooth/WLAN Applications A Novel Approach to Support Distance relay application in a TCSC compensated line Align and Conquer: An Ensemble Approach to Classify Aggressive Texts from Social Media Deep Learning for Network Slicing and Self-Healing in 5G Systems Hardware Simulation of BRAM Digital FIR filter for Noise Removal of ECG Signal
×
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