17768304. Methods, Apparatus and Machine-Readable Media Relating to Channel Quality Prediction in a Wireless Network simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Methods, Apparatus and Machine-Readable Media Relating to Channel Quality Prediction in a Wireless Network
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
[[:Category:András R�cz of Budapest (HU)|András R�cz of Budapest (HU)]][[Category:András R�cz of Budapest (HU)]]
Methods, Apparatus and Machine-Readable Media Relating to Channel Quality Prediction in a Wireless Network - A simplified explanation of the abstract
This abstract first appeared for US patent application 17768304 titled 'Methods, Apparatus and Machine-Readable Media Relating to Channel Quality Prediction in a Wireless Network
Simplified Explanation
The patent application describes a method for estimating the quality of a wireless channel in a network.
- The method involves obtaining information about the channel quality measured by a wireless node in an environment with movable mechanical parts.
- This information is then used as input for a predictive model developed using a machine-learning algorithm.
- The predictive model generates an estimation of the channel quality for a subsequent time period in the same environment.
Potential applications of this technology:
- Wireless network optimization: The method can be used to predict channel quality in environments with movable mechanical parts, allowing network operators to optimize their wireless networks accordingly.
- Industrial automation: The technology can be applied in industrial settings where machines with movable parts are present, enabling better planning and control of wireless communication systems.
- Internet of Things (IoT): The method can be utilized in IoT deployments where wireless connectivity is crucial, ensuring reliable and efficient communication in environments with mechanical movements.
Problems solved by this technology:
- Unpredictable channel quality: In environments with movable mechanical parts, the quality of the wireless channel can vary significantly. This method provides a means to estimate and predict the channel quality, allowing for better network planning and optimization.
- Interference mitigation: By understanding the channel quality in advance, potential interference issues caused by mechanical movements can be identified and mitigated, ensuring reliable wireless communication.
Benefits of this technology:
- Improved network performance: By accurately estimating channel quality, network operators can optimize their wireless networks, leading to improved performance and reliability.
- Enhanced efficiency: The predictive model allows for proactive planning and control of wireless communication systems, reducing downtime and improving overall efficiency.
- Cost savings: By optimizing network resources based on predicted channel quality, unnecessary investments in additional infrastructure or equipment can be avoided, resulting in cost savings.
Original Abstract Submitted
The disclosure provides a method for estimating channel quality in a wireless network. The method comprises: obtaining information relating to a channel quality for a first time period, as measured by a wireless node located in an environment comprising one or more machines having mechanical parts which are movable in a periodic pattern; and providing the information as an input to a predictive model, developed using a machine-learning algorithm, to obtain a predicted channel quality in the environment for a second, subsequent time period.
