Abstract

Next generation 5G networks generate a need for broadband, low latency and power efficient backhauling and data-relay services. In this paper, optical satellite communications links, as an integrated component of 5G networks, are studied. More specifically, the Geostationary (GEO) satellite-to-ground optical communication link is investigated. Long-term irradiance statistics based on experimental measurements from the ARTEMIS program are presented and a new time series generator related to the received irradiance/power fluctuations due to atmospheric turbulence is reported. The proposed synthesizer takes into consideration the turbulence-induced scintillation effects that deteriorate the laser beam propagation, on the assumption of the Kolmogorov spectrum. The modeling is based on Rytov theory regarding weak turbulence conditions with the incorporation of first order stochastic differential equations. Summing up, the time series synthesizer is validated in terms of first and second order statistics with experimental results from the European Space Agency‘s ARTEMIS experimental optical downlink and simulated received power statistics for various weather conditions are presented using the proposed validated methodology. Some important conclusions are drawn.

Highlights

  • Generation networks such as Long Term Evolution (LTE) Advanced Pro, 5G are expected to have rigorous specifications concerning the connectivity so that every user globally can connect to high bandwidth mobile internet for accessing a variety of services including live video streaming, remote healthcare and tutorship, Internet of Things (IoT), Vehicle-to-Vehicle (V2V) and Device-to-Device (D2D) communications [1,2,3,4]

  • Many theoretical models are used to accurately analyze the downlink scintillation effects, but the most common are the log-normal distribution for weak turbulence conditions, gamma-gamma distribution for strong turbulence and double-Weibull for moderate to strong intensity [1,5,6,12]

  • The remainder of the paper is structured as follows: in Section 2 a brief summary of ARTEMIS optical satellite experimental campaign is presented; in Section 3 the required theoretical background is reported including important metrics regarding the downlink’s turbulence effects and followed by the proposed methodology for the generation of received irradiance time series; in Section 4 numerical results using the synthesized data are validated with experimental results derived from ARTEMIS

Read more

Summary

Introduction

Generation networks such as Long Term Evolution (LTE) Advanced Pro, 5G are expected to have rigorous specifications concerning the connectivity so that every user globally can connect to high bandwidth mobile internet for accessing a variety of services including live video streaming, remote healthcare and tutorship, Internet of Things (IoT), Vehicle-to-Vehicle (V2V) and Device-to-Device (D2D) communications [1,2,3,4]. A time series generator for the reproduction of received irradiance long-term statistics for an optical GEO downlink is proposed. The synthesizer is validated in terms of first and second order statistics with experimental results from the ARTEMIS optical link campaign and afterwards derived numerical results are reported [13,14]. The remainder of the paper is structured as follows: in Section 2 a brief summary of ARTEMIS optical satellite experimental campaign is presented; in Section 3 the required theoretical background is reported including important metrics regarding the downlink’s turbulence effects and followed by the proposed methodology for the generation of received irradiance time series; in Section 4 numerical results using the synthesized data are validated with experimental results derived from ARTEMIS. TThhee ddoowwnnlliinnkk AARRTTEEMMIISS tttteoeolleeOOssGccGooSSppetethhssrriooninuusstggathhalllelttedhhdeealttlauuolrrwlbbouwufolleernnfdottirffaaettdmmreifoonfssetpprreehhnceeetrrpeertiwweocnhheipiwccthhihoiccnlaaeuutwhsseeehsswiliierrerraaatthddheeiiaarnnwscctaeeetaisstocchniiennnrttiiellasllaatratbtiityooionnpnriiossnvsseihhdaooerwwsbyinnn..fpoTTrrhhmoeevaitttdwwioeonos ionnfotrhme ahtuiomnidointyt,hperehsusumreid, itteym, ppererasstuurree,atnedmwpeinrdatsupreeeadnfdorwtihnedgsrpoueendd floevr etlh.eTgwroousentds olefveexlp. eTrwimoesnettasl omf eeaxspuerreimmeennttsalamreeaasvuarielambelentisnaareccaovrdaialanbclee winitahccthoredtawncoetwerimthinthales tawnodtearrme iunsaelds atnodcoamrepuasreedthtoe csocminptiallraetiothne esffciencttisllaretigoanrdeifnfegcttsheregdaiffrderinengtthapeedrtifufreeresnitzeasp.erAtufrteerswizaersd.sA, fttheerwdaorwdns,litnhke AdoRwTEnlMinIkS AGRETOESMaItSelGlitEeOtoSathteellLitUe CtoEthreecLeiUveCrEwreilclebiveesrpwecililfibcaelslypeacnifdictahlloyroaungdhtlhyoeroxuamghinlyedexdaumeinteodLdUuCeEt’os LsmUCalEle’rs asmpearltluerrea.perture

Proposed Time Series Synthesizer
Validation with Experimental Data
Methodology Scintillation Index
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call