SRS Precoding Resource Selection for Accurate Downlink Measurements

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Solution Overview

Problem

Existing wireless communication systems face challenges in efficiently utilizing sounding reference signals (SRS) for precoding due to limitations in the number of configured SRS ports, which affects the accuracy of downlink measurements and subsequent uplink transmissions.

Innovation Solution

The method involves receiving and transmitting SRS precoding based on downlink measurements, with the total quantity of configured SRS ports being equal to or less than the quantity of receive antennas, enabling precise SRS resource allocation and transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the number of configured SRS ports is increased to improve downlink measurement accuracy, then measurement precision improves, but device complexity and resource overhead increase

Engineering Contradiction:
Improvedownlink measurement accuracyVSAvoidSRS port configuration complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies partial action by configuring SRS ports selectively rather than using all available ports. The network entity determines a subset of SRS ports (first quantity) that is less than or equal to the number of receive antennas (second quantity), and only these selected ports are configured for SRS transmission. This partial configuration achieves sufficient downlink measurement accuracy while reducing the complexity and overhead associated with configuring all possible ports.

Inventive Principle:
Principle #16Partial or excessive action

2Measurement precision

If the number of configured SRS ports is increased to improve measurement accuracy, then measurement precision improves, but signal overhead increases

Engineering Contradiction:
Improvedownlink measurement accuracyVSAvoidSRS signal overhead
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts only the necessary SRS ports from the full set of available ports. The network entity identifies and extracts a subset of first quantity SRS ports from the total available ports, where this subset is sufficient for accurate downlink measurements but reduces the overall overhead. This extraction principle allows the system to eliminate redundant SRS port configurations while maintaining measurement precision.

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If SRS ports are configured to match receive antenna quantity, then measurement accuracy improves, but resource allocation complexity increases

Engineering Contradiction:
Improvedownlink measurement accuracyVSAvoidresource allocation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent changes the parameter of SRS port quantity from being equal to or greater than the number of receive antennas to being less than or equal to the number of receive antennas. This parameter change optimizes the balance between measurement accuracy and resource allocation complexity. By adjusting the SRS port quantity parameter to a more efficient value, the system achieves adequate measurement precision while simplifying resource allocation procedures.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12562860B2Sounding reference signal precoding
Publication Date: 2026.02.24 QUALCOMM INC
  • US12562860B2 patent drawing
  • US12562860B2 patent drawing
  • US12562860B2 patent drawing

AI summary

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication of a sounding reference signal (SRS) resource for SRS precoding that is based at least in part on a downlink measurement, where a total quantity of configured SRS ports for transmission is less than or equal to a quantity of receive antennas configured at the UE. The UE may transmit an SRS with SRS precoding based at least in part on the SRS resource. Numerous other aspects are described.