Port Virtualization Matrix Update for MU-MIMO CSI-RS Overhead

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Solution Overview

Problem

Designing an optimal port virtualization matrix for signal transmission in MU-MIMO systems is challenging due to the resource-intensive nature of repeatedly transmitting CSI-RS by base stations with insufficient channel information.

Innovation Solution

A method involving a base station that generates a CSI-RS, applies an initial port virtualization matrix, receives rank and precoding matrix information from a user terminal, and updates the matrix based on partial channel information to generate a target port virtualization matrix for efficient data transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If the base station transmits CSI-RS multiple times to design an optimal port virtualization matrix, then the manufacturing precision of the port virtualization matrix is improved, but the use of energy and resource consumption increase

Engineering Contradiction:
Improveport virtualization matrix design accuracyVSAvoidresource consumption
Core Design Contradiction:
Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The base station transmits CSI-RS multiple times in advance to collect channel state information before actual data transmission. This preliminary action enables the base station to design an optimal port virtualization matrix that reflects the current channel conditions, thereby improving transmission accuracy without requiring repeated adjustments during data transmission.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The base station uses its own transmitted CSI-RS signals to measure and evaluate channel states, then autonomously designs and updates its port virtualization matrix based on the measured effective channels. This self-service approach eliminates the need for external calibration or manual configuration, reducing operational overhead while maintaining high precision.

Inventive Principle:
Principle #25Self-service

2Manufacturing precision

If the base station transmits CSI-RS multiple times to design an optimal port virtualization matrix, then the manufacturing precision of the port virtualization matrix is improved, but the productivity of data transmission is reduced

Engineering Contradiction:
Improveport virtualization matrix design accuracyVSAvoiddata transmission efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The base station performs port virtualization matrix design in advance by transmitting CSI-RS and measuring effective channels before actual data transmission begins. This preliminary design phase ensures that the matrix is optimized for current channel conditions, allowing high-speed data transmission to proceed without interruption or repeated adjustments.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The overall process is segmented into distinct phases: CSI-RS transmission phase for channel measurement, port virtualization matrix design phase for optimization, and data transmission phase for high-speed communication. This segmentation allows the system to dedicate resources appropriately to each task, ensuring both design accuracy and transmission efficiency.

Inventive Principle:
Principle #1Segmentation

3Device complexity

If the base station has insufficient channel information, then the device complexity is reduced, but the manufacturing precision of the port virtualization matrix deteriorates

Engineering Contradiction:
Improvechannel information requirementsVSAvoidport virtualization matrix design accuracy
Core Design Contradiction:
Device complexityVSManufacturing precision

Solution Approach 1:

The CSI-RS signal serves multiple functions simultaneously: it acts as a channel state indicator for measurement, a reference signal for effective channel calculation, and a basis for port virtualization matrix design. This multi-functionality allows the base station to obtain comprehensive channel information from a single signal type, improving matrix design accuracy without requiring multiple separate measurement procedures.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The effective channel measurement acts as an intermediary that bridges the base station's transmitted CSI-RS and the user terminal's channel state. By measuring the effective channel using the CSI-RS, the base station obtains accurate channel information that directly informs port virtualization matrix design, eliminating the need for complex direct measurement methods.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12621022B2Method for transmitting signal using port virtualization matrix, and electronic device performing method
Publication Date: 2026.05.05 SAMSUNG ELECTRONICS CO LTD
  • US12621022B2 patent drawing
  • US12621022B2 patent drawing
  • US12621022B2 patent drawing

AI summary

A base station is provided. The base station includes a transceiver configured to exchange data with an external device, memory storing one or more computer programs, and one or more processors communicatively coupled to the transceiver and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors, cause the base station to generate a channel state indicator-reference signal (CSI-RS) to be transmitted to a user terminal through a plurality of antennas of the base station, transmit a test signal generated by applying an initial port virtualization matrix to the CSI-RS to the user terminal through a transceiver, receive, from the user terminal, rank information for channels to which the initial port virtualization matrix is applied and information about a target precoding matrix for the channels, obtain partial channel information on the basis of an sounding reference signal (SRS) received from the user terminal, and generate a target port virtualization matrix on the basis of the rank information, the target precoding matrix, and the partial channel information.