By Maria Popo – By harnessing AI’s predictive insights to preemptively manage network issues and optimize system health, technicians can proactively identify and mitigate potential network issues.
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By Brady Volpe – Did you know the formula for codeword errors are different for SC-QAM and OFDM(A)?
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By Mike O’Dell – I am a big fan of coaxial cable. When properly installed and maintained, it is an incredibly reliable delivery medium with excellent behavioral performance.
Read MoreBy Steve Harris – The implementation of best practices has proven instrumental for operators, leading to improvements in OpEx through the reduction of truck rolls, call center customer calls, and streamlined service responses to construction failures. To initiate a program tailored to your workforce and aligned with specific job role descriptions, please reach out to us at cap@scte.org.
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By Brady Volpe – You can now perform rough estimates of the OFDM channel or feel free to download my Python estimator, which is based on the work done by Karthik Sundaresan in his SCTE Expo paper.
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By Brady Volpe – DOCSIS 3.1 modems have ushered in a new era of high-speed connectivity. However, ensuring their consistent performance brings new challenges
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By Brady Volpe – From a reactive perspective, cable operators can use PNM tools to resolve subscriber issues more efficiently. A classic scenario involves resource utilization.
Read MoreBy Steve Harris and Adam Soccorsy – The integration of rOLTs in the construction of fiber networks is a watershed moment in the evolution of OLTs in the access network of broadband operators, whether deployed in conjunction with DAA/DCA or through digital fiber links. rOLTs will contribute to a more cost-effective and agile infrastructure type that allows operators to expand fiber coverage in diverse geographies and using more of them will help to close the digital divide.
Read MoreBy Ron Hranac – The metric of interest for leakage is its field strength in microvolts per meter (not just microvolts), which is typically measured with a dedicated signal leakage detector. The value of keeping the plant tight helps to avoid harmful interference to over-the-air users. An effective leakage monitoring and repair program also helps to reduce ingress problems, and ensures better network performance.
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By Brady Volpe – Machine learning and PNM have promised to make the use of PNM data super easy. Anyone who has used PNM has likely experienced data overload. Looking through lots of full band capture (FBC) plots or tons of receive modulation error ratio (RxMER).
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