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Autonomous Fault Prediction in Coaxial Cable Data Networks (DOCSIS)

Autonomous Fault Prediction in Coaxial Cable Data Networks (DOCSIS)
同轴电缆数据网络 (DOCSIS) 中的自主故障预测
批准号:
522342-2018
负责人:
Zheng, Rong
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
DOCSIS is a telecommunications standard for delivering data and TV channels from a cable modem termination system (CMTS)**to a home cable modem. DOCSIS uses a well-known feature called pre-equalization. Pre-equalization is accomplished by**analyzing input signal quality at CMTS. It determines the correction that a cable modem needs to apply to the signal before**transmitting it to overcome upstream impairments. The CMTS then sends equalizer values to the cable modem to update its preequalizer.**This will result in significant improvement in upstream signal to noise ratio (SNR), which in turn translates to a better**quality of experience to the subscriber. Proactive Network Maintenance (PNM) tools monitors cable modems and collects preequalizer**information from all of them. The pre-equalizer value from each modem reveals information regarding what type of**impairments each modem may have. In this project we will extend Clearcables Connects' PNM tool to continuously monitor**DOCSIS networks, to generate early warning indicators that identify changes in cable lines or plants and to predict faults.**
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  • 项目类别:
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  • 资助金额:
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  • 资助金额:
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