UE Grouping and Pivot Pairing for MU-MIMO Resource Scheduling

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Solution Overview

Problem

Existing communication systems face challenges in efficiently scheduling resources to a diverse set of user equipment (UEs) that require different transmission modes, such as TM7, TM8, and TM9, due to the increasing demand for flexibility in multi-user multiple-input and multiple-output (MU-MIMO) technology, especially with the rise in UEs needing support for these advanced modes.

Innovation Solution

A method and system that involves grouping UEs based on various inputs, determining a pivot UE using a first metric, pairing UEs using a second metric, and applying precoding weights to optimize resource allocation, utilizing a scheduler with a grouping unit, pairing unit, and precoder to manage SU-MIMO and MU-MIMO modes effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional scheduling methods are used to allocate resources to UEs, then resource allocation is simple, but resource allocation efficiency deteriorates when handling diverse transmission modes (TM7, TM8, TM9) and MU-MIMO requirements

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidscheduling system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments UEs into different groups based on their transmission mode requirements (TM7, TM8, TM9, SU-MIMO, MU-MIMO). This segmentation allows the scheduler to apply specialized scheduling algorithms to each group, improving resource allocation efficiency for diverse transmission modes while managing complexity through structured categorization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic UE pairing and resource allocation where the scheduler continuously adapts pairings based on channel conditions, UE requirements, and system load. This dynamic approach optimizes resource utilization for MU-MIMO and advanced transmission modes while maintaining flexibility to handle varying traffic demands.

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If advanced transmission modes (TM7, TM8, TM9) and MU-MIMO are supported to increase flexibility, then adaptability improves, but system complexity increases

Engineering Contradiction:

Improvetransmission mode flexibilityVSAvoidscheduling system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a universal scheduler framework that can handle multiple transmission modes (TM3, TM4, TM7, TM8, TM9) and both SU-MIMO and MU-MIMO within a single system. The scheduler uses unified metrics and algorithms that adapt to different transmission modes, providing multi-functionality without requiring separate scheduling systems for each mode.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If resource allocation is optimized for all UEs to prevent starvation, then fairness improves, but resource allocation complexity increases

Engineering Contradiction:

ImproveUE service reliabilityVSAvoidscheduling algorithm complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent performs preliminary actions by pre-grouping UEs based on their transmission mode requirements and pre-calculating suitable pairings. This preliminary organization simplifies the subsequent scheduling process, ensuring that all UE requirements are considered while maintaining manageable algorithmic complexity through structured preparation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback mechanisms where the scheduler continuously monitors UE performance, channel conditions, and resource utilization. This feedback enables the system to dynamically adjust resource allocation to prevent UE starvation while maintaining optimal performance, balancing fairness and complexity through adaptive control.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260082385A1Method and system for scheduling a pool of resources to a plurality of user equipments

Publication Date: 2026.03.19 WISIG NETWORKS PTE LTD

AI summary

Embodiments of the present disclosure relates to a method and system to schedule a pool of resources to a plurality of user equipment's (UEs). The method comprises grouping the UEs using inputs from UEs, to obtain a plurality of groups. Also, method comprises determining a pivot UE from the UEs using a first metric associated with each of the UEs, associated with a selected group from the plurality of groups. Further, the method comprises pairing the pivot UE with at least one UE using a second metric, wherein the at least one UE is associated with the selected group. Next, precoding weights are determined for each of the plurality of UE's associated with the selected group. Thereafter, transmitting data and reference signals associated with each UE associated with the selected group, using the corresponding precoding weights on a sub-set of pool of resources.