3 research outputs found

    Performance Analysis of Line Operation Parameters and Customer Premises Equipment over a Very High-Bit-Rate Digital Subscriber Line 2 Network

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    Even though fiber networks have gained popularity today, Internet access via copper cable networks is still necessary in Malaysia, particularly in the suburban areas. This paper aims to examine the line operation parameters (LOPs) and customer premises equipment (CPE) performances over a very-high-bit-rate digital subscriber line 2 (VDSL2) network. These data are crucial in monitoring and preventing network faults and can be used as benchmarks during troubleshooting. In this paper, the LOPs data was obtained from the multi-service access node (MSAN) using the Xshell program. Data acquisition and extraction from the Huawei HG655m modem\u27s Graphical User Interface (GUI), the CPE under investigation, was performed using a Python programming script. The statistical performance on network parameters such as actual line rate, line and signal attenuation, and signal-to-noise ratio (SNR) margin was then analyzed. In addition, the length of a bundle of ten twisted pairs of copper cable was varied for several distances: 100 m, 300 m, 500 m, 700 m, and 1000 m, with the operational bandwidth set to 17.664 MHz. The findings demonstrated an increment in the net data rates and packets by the Huawei HG655m modems received when a high-performance throughput is injected into the access network

    Performance Analysis of Line Operation Parameters and Customer Premises Equipment over a Very High-Bit-Rate Digital Subscriber Line 2 Network

    No full text
    Even though fiber networks have gained popularity today, Internet access via copper cable networks is still necessary in Malaysia, particularly in the suburban areas. This paper aims to examine the line operation parameters (LOPs) and customer premises equipment (CPE) performances over a very-high-bit-rate digital subscriber line 2 (VDSL2) network. These data are crucial in monitoring and preventing network faults and can be used as benchmarks during troubleshooting. In this paper, the LOPs data was obtained from the multi-service access node (MSAN) using the Xshell program. Data acquisition and extraction from the Huawei HG655m modem\u27s Graphical User Interface (GUI), the CPE under investigation, was performed using a Python programming script. The statistical performance on network parameters such as actual line rate, line and signal attenuation, and signal-to-noise ratio (SNR) margin was then analyzed. In addition, the length of a bundle of ten twisted pairs of copper cable was varied for several distances: 100 m, 300 m, 500 m, 700 m, and 1000 m, with the operational bandwidth set to 17.664 MHz. The findings demonstrated an increment in the net data rates and packets by the Huawei HG655m modems received when a high-performance throughput is injected into the access network

    Preliminary studies on cable fault classification in ADSL copper access network using machine learning

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    Asymmetrical Digital Subscriber Line (ADSL) is the technology widely deployed worldwide, but its performance may be limited with respect to its intrinsic. The nature of the copper cable causes it to be more susceptible to signal degradation and faulty line. Common ADSL line faults are short-wired fault, open-wired fault, bridge taps, and uneven pair. However, ADSL technology is still one of the most established networks, and users in the suburban area still depend on the technology to access the internet service. In this paper, we discussed and compared a machine learning algorithm based on Decision Trees (J48), K-Nearest Neighbor, Multi-level Perceptron, Naïve Bayes, Random Forest and Sequential Minimal Optimization (SMO) for ADSL line impairment that affects the line operation performance concerning their percentage of accuracy. Resulting from classifications done using algorithms mentioned above, the random forest algorithm gives out the highest overall accuracy for the ADSL line impairment dataset. The best algorithm for classifying DSL line impairment is chosen based on the highest accuracy percentage. The accomplishment classification of fault type in the ADSL copper access network project may benefit the telecommunication network provider by remotely assessing the network condition rather than on site
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