MU-MIMO Group Assignment via Compressed CSI and SINR

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Solution Overview

Problem

Existing MU-MIMO systems face inefficiencies in network performance due to high network overhead from transmitting full channel state information (CSI) and interference between client devices, which affects data stream separation and increases packet errors.

Innovation Solution

The use of compressed client-side CSI feedback and signal-to-interference-plus-noise ratio (SINR) estimation to assign clients to MU-MIMO groups, reducing network overhead and improving data stream separation by determining optimal groupings based on SINR values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If full channel state information (CSI) is transmitted from client devices to the beamformer, then accurate channel knowledge is available for MU-MIMO grouping, but network overhead increases significantly

Engineering Contradiction:

Improvechannel state information accuracyVSAvoidnetwork overhead

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

The patent extracts only the essential components of CSI needed for MU-MIMO grouping rather than transmitting complete CSI. Client devices compute compressed CSI feedback based on channel matrices and transmit only these compressed values to the beamformer, eliminating redundant information transmission while preserving grouping accuracy.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms the CSI representation from full channel matrices to compressed parameter sets. By changing the form of CSI from complete channel state data to condensed feedback parameters, the system reduces transmission overhead while maintaining the necessary information for effective MU-MIMO client grouping and SINR estimation.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If clients are grouped for concurrent MU-MIMO transmission, then network throughput increases, but interference between clients affects data stream separation and increases packet errors

Engineering Contradiction:

Improvenetwork throughputVSAvoidpacket error rate

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent performs preliminary SINR estimation and client compatibility assessment before forming MU-MIMO groups. By evaluating potential interference levels and channel conditions in advance, the system pre-selects compatible clients for grouping, ensuring that only clients with acceptable interference characteristics are transmitted concurrently, thus maintaining high throughput while minimizing packet errors.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements a feedback mechanism where client devices provide compressed CSI feedback that enables the beamformer to assess channel conditions and interference potential. This feedback loop allows the system to continuously optimize MU-MIMO group assignments based on current channel states, adjusting groupings to maintain reliable transmission while maximizing throughput.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10587353B2MU-MIMO group assignment

Publication Date: 2020.03.10 HEWLETT PACKARD ENTERPRISE DEV LP

AI summary

An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with client devices. The control circuitry may determine signal-to-interference-plus-noise ratios (SINRs) for the client devices based on compressed client-side channel state information received from the client devices. The control circuitry may assign the client devices to multi-user-multiple-input-multiple-output (MU-MIMO) groups based on the SINRs.