Compressed CSI Updates for Low-Latency Radio Channel Tracking

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Solution Overview

Problem

Existing wireless communication systems face challenges in efficiently storing and utilizing channel state information (CSI) due to high memory and computational costs, which limits the ability to track and predict channel dynamics, especially for high-mobility UEs, leading to system latency and inefficient resource usage.

Innovation Solution

A method for compressing channel feature estimates, such as CSI, by replacing them with updated estimates that meet threshold conditions, reducing the amount of information required, and adapting to factors like aging, scheduling probability, and available bandwidth, enabling efficient storage and transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If channel state information is stored with high precision to maintain accurate channel tracking, then measurement precision is improved, but memory requirements and computational costs increase

Engineering Contradiction:

Improvechannel state information accuracyVSAvoidmemory requirements

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent changes the representation parameters of channel state information by transforming CSI into a compressed domain representation. Instead of storing raw CSI matrices, the system applies parameter transformation to store only essential channel characteristics, thereby maintaining measurement precision while significantly reducing memory requirements

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent extracts and stores only the most critical components of channel state information needed for accurate channel tracking. By identifying and retaining only the essential CSI elements that contribute to channel prediction accuracy, the system reduces the quantity of stored information while preserving measurement precision

Inventive Principle:

Principle #2Taking out (Extraction)

2Reliability

If channel state information is stored with high detail to enable accurate channel prediction, then reliability is improved, but device complexity increases

Engineering Contradiction:

Improvechannel prediction accuracyVSAvoidcomputational costs

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent transforms the parameter representation of CSI to a compressed domain that maintains prediction reliability while reducing computational complexity. The transformed parameters enable accurate channel prediction with fewer computational operations during both storage and retrieval phases

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent segments channel state information into distinct components, storing only those segments that are critical for channel prediction reliability. This segmentation approach reduces device complexity by eliminating the need to process and store redundant information while maintaining prediction accuracy

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If channel state information is obtained frequently to track fast fading channels, then measurement precision is improved, but loss of time increases due to system latency

Engineering Contradiction:

Improvechannel tracking accuracyVSAvoidsystem latency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary compression and transformation of channel state information so that when CSI is obtained, it is already in a ready-to-use compressed format. This preliminary action reduces the processing time required after CSI acquisition, thereby reducing system latency while maintaining the ability to track fast fading channels accurately

Inventive Principle:

Principle #10Preliminary action

4Quantity of substance

If compressed channel feature estimates are used to reduce memory requirements, then quantity of substance is reduced, but measurement precision deteriorates

Engineering Contradiction:

Improvedata sizeVSAvoidchannel estimate accuracy

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies parameter transformation to convert channel feature estimates into a compressed representation that preserves essential channel characteristics. The transformed parameters maintain measurement precision by retaining the most significant channel information while reducing data size through efficient parameter encoding

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12513025B2Network node, user equipment, and methods for handling channel feature estimates associated with a radio channel

Publication Date: 2025.12.30 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

AI summary

A method performed by a network node for handling channel feature estimates associated with a radio channel between a User Equipment, UE, and the network node in a wireless communications network is provided. The network node obtains a channel feature estimates associated to the radio channel estimated at a first point in time. Data representing the channel feature estimates has a first size. The network node compresses the channel feature estimates at the first point in time by replacing them with updated channel feature estimates that at the subsequent point in time fulfils a respective threshold condition. The data representing the updated channel feature estimates has a second size. The second size is smaller than the first size. The network node then adjusts parameters for a transmission at the radio channel based on the updated channel feature estimates.