Spectral Efficiency Analysis of an IRS-Assisted 6G Micro Cell

Author:

Mahbub Mobasshir1,Shubair Raed M.1

Affiliation:

1. New York University (NYU) Abu Dhabi

Abstract

Abstract The primary goal of the investigation is to increase coverage, i.e. provide better transmission for Internet of Things (IoT) services, by employing IRS within micro cellular transmission over a two-tier 6G network comprised of a micro cellular tier operating beneath a macro cellular tier. As a result, using computer-based measurement methodologies, the article tested and compared the effectiveness of traditional micro cellular connectivity against IRS-enhanced micro cell connectivity in terms of downstream spectral efficiency. According to the findings, the implementation of IRS greatly improves coverage, that is, transmission performance, for 6G-IoT services.

Publisher

Research Square Platform LLC

Reference106 articles.

1. Shubair. "Classification of indoor environments for IoT applications: A machine learning approach;Mohamed I;IEEE Antennas and Wireless Propagation Letters,2018

2. Raed M. Shubair and Hadeel Elayan. "In vivo wireless body communications: State-of-the-art and future directions." In 2015 Loughborough Antennas & Propagation Conference (LAPC), pp. 1–5. IEEE, 2015.

3. M. I. AlHajri, A. Goian, M. Darweesh, R. AlMemari, R. M. Shubair, L. Weruaga, and A. R. Kulaib. "Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment." In 2015 International Conference on Information and Communication Technology Research (ICTRC), pp. 238–241. IEEE, 2015.

4. Hadeel Elayan, Raed M. Shubair, and Asimina Kiourti. "Wireless sensors for medical applications: Current status and future challenges." In 2017 11th European Conference on Antennas and Propagation (EUCAP), pp. 2478–2482. IEEE, 2017.

5. Shubair. "Indoor localization for IoT using adaptive feature selection: A cascaded machine learning approach;Mohamed I;IEEE Antennas and Wireless Propagation Letters,2019

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