Performance analysis of satellite link using Gaussian mixture model under rain

Author:

Kumar Rajnish1ORCID,Arnon Shlomi1

Affiliation:

1. Satellite and Wireless Communication Laboratory, Department of Electrical and Computer Engineering Ben‐Gurion University of the Negev Beer Sheva Israel

Abstract

SummaryThe evolution of communication systems to the next generation, for example, B5G and 6G, demands an ultrareliable performance regardless of weather conditions. Such ultrareliable system design will require that the effects of adverse weather events on the communication system have to be computed more accurately so that physical layer compensation should be optimally and dynamically adaptive to such events. The performance of satellite links is severely affected by dynamic rain attenuation, and thus, accurate and reliable modeling of performance parameters is essential for dynamic fade countermeasures, especially above 10 GHz. In this work, we model the energy per bit to noise spectral density ratio ( ) using Gaussian mixture (GM) model during rainy events. The developed mathematical expression is used to accurately model the average , bit error rate (BER), outage probability, and ergodic channel capacity of the link. The average BER, upper bound on BER, and average ergodic capacity of an M‐ary phase shift keying scheme (MPSK) using the GM model of are derived to evaluate the performance of the link under such weather impairments. We then show the numerical results and analysis using the GM model of the measured data obtained with the AMoS‐7 satellite at a site located in Israel.

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Media Technology

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