Planning of Path Loss in Large Scale Signal Propagation Model at 5G Network by Using Linear Regression Methods

Author:

Ubaidillah A,Ulum M,Pramono S.

Abstract

Abstract The generation of 4G network communication technology will gradually not be able to accommodate the community needs in the increasing data access speed. This research becomes very important to be one of many concepts in developing 5th network technology or 5G. Planning aims to observe the propagation model of 5G network signal to find the transmission path loss values using the mmWave signal propagation model, power link budget calculation, and analysis through linear regression. Based on the study results, the average path loss at 28 GHz and the line of sight and non-light of sight conditions for the Free-Space Reference Path Loss model are 97.7583 dB and 140.7436, while for the 73 GHz frequency each at 105.3378 and 131.6135 dB. Results of error standard deviation of linear regression models of the Reference Free-Space Path Loss at frequency 28 GHz conditions of line of sight and non-light of Sight 0.0636 and 0.7023 respectively, while the 73GHz frequency is 0.2855 and 0.5103, respectively.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference21 articles.

1. Millimeter Wave Mobile Communication for 5G Cellular: It Will Work!;Rappaport;IEEE Access,2013

2. 5G - Wireless Communications for 2020;Barreto;Journal of Communication and Information Systems,2016

3. A Survey on Millimeter Wave Mobile Communications for 5G Cellular Networks;Pai;International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering,2017

4. A Survey Energy-Efficient Techniques for 5G Networks and Chellenges Ahead;Buzzi;IEEE Journal on Selected Areas in Communications,2016

5. A Future Communication Technology: 5G;Kumar;International Journal of Future Generation Communication and Networking,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3