Telefonaktiebolaget lm ericsson (publ) (20240348356). Determination of Autoregressive Model Order for a Channel Prediction Filter simplified abstract
Contents
Determination of Autoregressive Model Order for a Channel Prediction Filter
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
[[:Category:Rikke Apelfr�jd of KNIVSTA (SE)|Rikke Apelfr�jd of KNIVSTA (SE)]][[Category:Rikke Apelfr�jd of KNIVSTA (SE)]]
Determination of Autoregressive Model Order for a Channel Prediction Filter - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240348356 titled 'Determination of Autoregressive Model Order for a Channel Prediction Filter
- Simplified Explanation:**
The patent application describes a method for determining the order of an autoregressive (AR) model for channel prediction in a radio environment based on declining Channel State Information (CSI) quality.
- Key Features and Innovation:**
- Mechanisms for CSI quality-triggered determination of AR model order for channel prediction.
- Obtaining an indication of declining CSI quality in a radio environment.
- Estimating current channel conditions in response to declining CSI quality.
- Determining the AR model order based on the estimation of current channel conditions.
- Performing channel prediction using the AR model with the determined order.
- Potential Applications:**
This technology can be applied in wireless communication systems, IoT devices, and network optimization tools.
- Problems Solved:**
The technology addresses the challenge of accurately predicting channel conditions in a radio environment with declining CSI quality.
- Benefits:**
- Improved channel prediction accuracy.
- Enhanced performance of wireless communication systems.
- Efficient network resource allocation.
- Commercial Applications:**
"CSI quality-triggered AR model order determination for channel prediction" can be utilized in telecommunications companies, IoT device manufacturers, and network infrastructure providers to optimize network performance and enhance user experience.
- Prior Art:**
Prior research in the field of channel prediction and AR modeling in wireless communication systems can provide valuable insights into similar technologies.
- Frequently Updated Research:**
Stay updated on advancements in AR modeling techniques for channel prediction in radio environments to ensure the technology remains at the forefront of innovation.
- Questions about CSI Quality-Triggered AR Model Order Determination for Channel Prediction:**
1. What are the potential implications of inaccurate channel prediction in wireless communication systems? 2. How does declining CSI quality impact the performance of network optimization tools in a radio environment?
Original Abstract Submitted
there is provided mechanisms for csi quality triggered determination of ar model order for a channel prediction filter. a method is performed by a network node. the method comprises obtaining an indication of declining csi quality in a radio environment. the method comprises, in response thereto, obtaining an estimation of current channel conditions in the radio environment. the method comprises determining the ar model order based on the estimation of current channel conditions. the method comprises performing channel prediction of the radio environment using the channel prediction filter. the channel prediction filter is defined by an ar model having the determined ar model order.
