Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state

In the scenario of direct mobile phone connection to low-earth orbit satellites, to address the issue of non-real-time feedback of channel quality indication information that adaptive modulation and coding techniques rely on, a channel state prediction model based on deep echo state network was prop...

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Main Authors: JI Shuo, SUN Yaohua, PENG Mugen
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-10-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024214/
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author JI Shuo
SUN Yaohua
PENG Mugen
author_facet JI Shuo
SUN Yaohua
PENG Mugen
author_sort JI Shuo
collection DOAJ
description In the scenario of direct mobile phone connection to low-earth orbit satellites, to address the issue of non-real-time feedback of channel quality indication information that adaptive modulation and coding techniques rely on, a channel state prediction model based on deep echo state network was proposed. Furthermore, an intelligent selection mechanism for modulation and coding schemes was introduced based on the prediction model, wherein the transmitter selects the modulation and coding scheme suited for the current channel conditions based on the channel prediction results. Simulation validation has demonstrated that adaptive modulation and coding based on channel prediction can improve the bit error performance of the link to a certain extent.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2024-10-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-28e57c3ac20647d4b215672f67a0d0bc2025-01-15T03:34:04ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-10-014011376739099Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel stateJI ShuoSUN YaohuaPENG MugenIn the scenario of direct mobile phone connection to low-earth orbit satellites, to address the issue of non-real-time feedback of channel quality indication information that adaptive modulation and coding techniques rely on, a channel state prediction model based on deep echo state network was proposed. Furthermore, an intelligent selection mechanism for modulation and coding schemes was introduced based on the prediction model, wherein the transmitter selects the modulation and coding scheme suited for the current channel conditions based on the channel prediction results. Simulation validation has demonstrated that adaptive modulation and coding based on channel prediction can improve the bit error performance of the link to a certain extent.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024214/low-earth orbit satellite communicationchannel state predictionadaptive modulation and coding
spellingShingle JI Shuo
SUN Yaohua
PENG Mugen
Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state
Dianxin kexue
low-earth orbit satellite communication
channel state prediction
adaptive modulation and coding
title Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state
title_full Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state
title_fullStr Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state
title_full_unstemmed Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state
title_short Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state
title_sort research on satellite ground adaptive modulation and coding techniques based on intellgent prediclion of channel state
topic low-earth orbit satellite communication
channel state prediction
adaptive modulation and coding
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024214/
work_keys_str_mv AT jishuo researchonsatellitegroundadaptivemodulationandcodingtechniquesbasedonintellgentprediclionofchannelstate
AT sunyaohua researchonsatellitegroundadaptivemodulationandcodingtechniquesbasedonintellgentprediclionofchannelstate
AT pengmugen researchonsatellitegroundadaptivemodulationandcodingtechniquesbasedonintellgentprediclionofchannelstate