MIMO User Data Scheduling via Power Limitation Weighting

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

In wireless communication systems, especially in multi-user MIMO systems with non-linear pre-coding, existing power limitation schemes cause significant rate loss and inaccurate resource scheduling due to hardware constraints and limited bandwidth, making it difficult to achieve optimal transmission rates.

Innovation Solution

A method and apparatus for scheduling user data in a multiple-input-multiple-output system that acquires the power limitation manner and corresponding rate loss through modulo operation or linear power normalization, calculates the actual scheduling weight based on instantaneous transmission rates, and prioritizes data transmission on resource blocks according to these weights, ensuring more accurate scheduling and improved system performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If non-linear pre-coding is used to eliminate user interference in multi-user MIMO system, then user interference elimination is improved, but transmission power increases greatly and requires power limiting which causes rate loss

Engineering Contradiction:
Improveuser interference eliminationVSAvoidtransmission rate
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent changes the power parameter of pre-coded data by applying power limiting processes (modulo operation or linear power normalization) to control transmission power within hardware constraints while minimizing rate loss through accurate scheduling weight calculation

Inventive Principle:
Principle #35Parameter changes

2Power

If power limitation is implemented on pre-coded data to limit transmission power within certain range, then transmission power control is improved, but transmission rate of user data decreases due to rate loss

Engineering Contradiction:
Improvetransmission power controlVSAvoidtransmission rate
Core Design Contradiction:
PowerVSProductivity

Solution Approach 1:

The patent introduces feedback mechanism by calculating actual scheduling weights based on rate loss from power limiting, using this feedback to adjust resource block allocation and achieve accurate scheduling that compensates for rate loss

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent changes the scheduling parameter by deriving actual scheduling weights from rate loss characteristics, enabling dynamic adjustment of resource allocation to minimize the impact of power limiting on transmission rate

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If original transmission rate is used in existing resource scheduling scheme, then scheduling simplicity is maintained, but accurate scheduling of user data cannot be achieved due to rate loss from power limiting

Engineering Contradiction:
Improvescheduling simplicityVSAvoidscheduling accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent modifies the scheduling parameter by replacing original transmission rate with actual scheduling weight that accounts for rate loss, enabling accurate scheduling while maintaining computational feasibility through structured calculation methods

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP2852239B1User data scheduling method and device
Publication Date: 2018.10.10 HUAWEI TECH CO LTD
  • EP2852239B1 patent drawingFigure 1
  • EP2852239B1 patent drawingFigure 2~3
  • EP2852239B1 patent drawingFigure 4~5

AI summary

Embodiments of the present invention provide a method and an apparatus for scheduling user data, and the method includes: acquiring a power limitation manner in which power limitation is implemented on user data of a user; acquiring an actual scheduling weight of the user after the power limitation is implemented in accordance with the power limitation manner; and transmitting the user data of the user on a resource block according to the actual scheduling weight of the user. This method combines different power limitation manners with scheduling criteria and updates the scheduling weight according to the power limitation manner, so that a scheduling result is more in line with a channel state, and system performance is improved.