Masked Autoencoded CSI Transmission for Lower Wireless Signaling
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Solution Overview
Problem
Existing wireless communication technologies face significant traffic load in CSI data transmission, particularly when high precision and high dimensionality are required, despite the use of autoencoders.
Innovation Solution
Applying a mask to the encoded CSI data to exclude masked elements, reducing the data to be transmitted, and using an ML-based autoencoder with a decoder part trained to reconstruct the CSI data considering the applied mask.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If autoencoder is used to encode CSI data, then traffic load is reduced, but transmission efficiency is not sufficiently optimized
Solution Approach 1:
The patent applies segmentation by dividing the encoded CSI data into two parts: unmasked data elements that are transmitted and masked data elements that are not transmitted. This selective transmission approach further reduces the quantity of data sent over the wireless channel, optimizing transmission efficiency while maintaining acceptable reconstruction quality at the gNB.
2Quantity of substance
If mask is applied to encoded CSI data, then amount of data to be transmitted is reduced, but data reconstruction quality may deteriorate
Solution Approach 1:
The patent implements feedback through the loss function that compares the original CSI data with the reconstructed CSI data at the gNB. This feedback mechanism allows the system to evaluate and optimize the mask application, ensuring that the reduction in data quantity does not excessively compromise reconstruction quality.
Solution Approach 2:
The patent changes the parameter of data transmission by selectively transmitting only unmasked data elements rather than all encoded data. This parameter change optimizes the balance between data quantity and reconstruction quality, achieving efficient transmission while maintaining sufficient CSI accuracy for wireless communication operations.
Data Source
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AI summary
A wireless device (10) measures Channel State Information, CSI, data for a wireless channel between the wireless device (10) and a node (100) of the wireless communication network. Further, the wireless device encodes the CSI data by an encoder part of an machine-learning based autoencoder. Further, the wireless device (10) applies a mask to the encoded CSI data. The mask defines unmasked data elements and masked elements of the encoded CSI data. The wireless device (10) then transmits the encoded CSI data excluding the masked data elements to the node (100).