18185716. NOISE MODELING FOR IMPROVED PROFILE MANAGEMENT simplified abstract (Comcast Cable Communications, LLC)

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NOISE MODELING FOR IMPROVED PROFILE MANAGEMENT

Organization Name

Comcast Cable Communications, LLC

Inventor(s)

Jonathan Alan Leech of Denver CO (US)

NOISE MODELING FOR IMPROVED PROFILE MANAGEMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18185716 titled 'NOISE MODELING FOR IMPROVED PROFILE MANAGEMENT

The abstract of the patent application describes methods and systems for network communication, where a network device can assess network conditions, generate or update a noise model, and predict performance for different modulation profiles to switch to the profile with the best predicted performance.

  • Simplified Explanation:

- Network devices can predict performance for different modulation profiles based on a noise model. - They can switch to the profile with the best predicted performance.

  • Key Features and Innovation:

- Proactive assessment of network conditions. - Generation or updating of a noise model. - Prediction of performance for various modulation profiles. - Automatic switching to the profile with the best predicted performance.

  • Potential Applications:

- Telecommunications networks. - Internet of Things (IoT) devices. - Wireless communication systems.

  • Problems Solved:

- Optimizing network performance. - Enhancing data transmission efficiency. - Improving overall network reliability.

  • Benefits:

- Increased network efficiency. - Enhanced user experience. - Better utilization of network resources.

  • Commercial Applications:

- Telecom companies for improving network performance. - IoT device manufacturers for enhancing connectivity. - Wireless communication providers for optimizing data transmission.

  • Questions about Network Communication:

1. How does the noise model help in predicting performance for different modulation profiles? - The noise model provides insights into the network conditions, allowing for accurate performance predictions.

2. What are the potential implications of switching to the profile with the best predicted performance? - Switching to the profile with the best predicted performance can lead to improved data transmission and overall network efficiency.


Original Abstract Submitted

Methods and systems are described for network communication. A network device may proactively assess the conditions of a network and generate or update a noise model. The noise model may be used to predict performance for a plurality of different modulation profiles. The network device may switch to the profile with the best predicted performance.

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