18578360. ACHIEVING UPLINK DATA COMPRESSION USING ESTIMATED ENVIRONMENT MODELS simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Contents
ACHIEVING UPLINK DATA COMPRESSION USING ESTIMATED ENVIRONMENT MODELS
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
Ananya Muddukrishna of Enskededalen (SE)
Yufei Blankenship of Kildeer IL (US)
Fedor Chernogorov of Espoo Uusimaa (FI)
ACHIEVING UPLINK DATA COMPRESSION USING ESTIMATED ENVIRONMENT MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18578360 titled 'ACHIEVING UPLINK DATA COMPRESSION USING ESTIMATED ENVIRONMENT MODELS
Simplified Explanation:
This patent application describes a method for a wireless device to handle multiple sensor data streams in a wireless communications network by predicting current and future sensor data based on obtained sensor data.
- The wireless device obtains sensor data related to multiple sensor data streams.
- Based on the obtained sensor data, the device determines prediction data that includes a subset of sensor data and prediction parameters indicating predictability.
- The device then transmits an indication of the prediction data to a network node.
Key Features and Innovation:
- Handling multiple sensor data streams in a wireless communications network.
- Predicting current and future sensor data based on obtained sensor data.
- Transmitting prediction data to a network node for further processing.
Potential Applications:
This technology can be applied in various industries such as healthcare, smart homes, industrial automation, and environmental monitoring where real-time sensor data analysis is crucial.
Problems Solved:
This technology addresses the challenge of efficiently handling and predicting sensor data streams in a wireless communications network, improving data processing and decision-making capabilities.
Benefits:
- Enhanced data analysis and prediction capabilities.
- Improved efficiency in handling sensor data streams.
- Better decision-making based on predicted sensor data.
Commercial Applications:
Predictive maintenance systems, smart city infrastructure, remote monitoring solutions, and IoT devices can benefit from this technology to optimize operations and improve overall performance.
Prior Art:
Readers can explore prior art related to sensor data prediction methods in wireless networks, sensor data processing algorithms, and predictive analytics in IoT devices to gain a deeper understanding of the technology landscape.
Frequently Updated Research:
Stay updated on the latest advancements in sensor data prediction methods, wireless communications technologies, and IoT applications to leverage cutting-edge solutions for data analysis and prediction in various industries.
Questions about sensor data prediction in wireless networks:
1. How does this technology improve the efficiency of handling sensor data streams in wireless networks? 2. What are the potential commercial applications of predictive sensor data analysis in IoT devices?
Original Abstract Submitted
A method performed by a wireless device, for handling a plurality of sensor data streams related to the wireless device in a wireless communications network is provided. The wireless device obtains sensor data related to the plurality of sensor data streams. Based on the obtained sensor data, the wireless device determines prediction data indicative of how to predict current and/or future sensor data of the plurality of sensor data streams. The prediction data includes any one or more out of a subset of sensor data relating to a subset of the plurality of sensor data streams, and at least one prediction parameter indicative of a predictability of the current and/or future sensor data of the plurality of sensor data streams. The wireless device transmits an indication of the determined prediction data to a network node.
