CoMP Scheduling via Iterative Weighted Rate Optimization

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Solution Overview

Problem

Existing Coordinated Multi-Point (CoMP) scheduling methods for LTE heterogeneous wireless networks face challenges due to the lack of practical methods for obtaining channel state information feedback and assuming ideal conditions, leading to inefficient resource allocation and implementation issues.

Innovation Solution

A method for CoMP scheduling that determines constraints, receives channel state information feedback, and iteratively calculates weighted user rates based on user weights and buffer sizes, using a processor to manage resource allocation across multiple transmission points in HetNets, with two approaches (Class-A and Class-B) for obtaining CSI feedback, ensuring standards compliance and robustness against errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If prior CoMP scheduling methods assume ideal conditions with perfect channel state information, then scheduling accuracy is improved, but implementation feasibility deteriorates

Engineering Contradiction:

Improvechannel state information accuracyVSAvoidimplementation feasibility

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent implements a feedback mechanism where user equipment devices transmit channel state information to transmission points. This allows the system to use actual measured channel conditions rather than assuming perfect information, bridging the gap between theoretical optimality and practical implementability.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent transforms the channel state information from idealized perfect knowledge to practical measured values with quantization. By changing the parameter representation from theoretical to measured, the system achieves implementation feasibility while maintaining sufficient scheduling accuracy.

Inventive Principle:

Principle #35Parameter changes

2Ease of manufacture

If practical methods for obtaining channel state feedback are implemented, then implementation feasibility is improved, but measurement precision deteriorates

Engineering Contradiction:

Improveimplementation feasibilityVSAvoidchannel state information accuracy

Core Design Contradiction:

Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent implements partial channel state information feedback by selecting and transmitting only the most relevant channel parameters. This partial action approach maintains implementation feasibility while preserving sufficient precision for effective scheduling decisions.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent uses quantized and simplified channel state information representations that are easier to measure and transmit. These simplified representations, while not perfectly precise, provide sufficient accuracy for practical scheduling implementation.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Productivity

If iterative determination of weighted sum of user rates is performed with constraints, then resource allocation efficiency is improved, but computational complexity increases

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidcomputational complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the resource allocation problem into iterative steps, where each iteration focuses on determining the weighted sum of user rates based on current channel conditions and constraints. This segmentation allows complex optimization to be broken into manageable computational tasks.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic iterative optimization where the weighted sum calculation adapts to changing channel conditions and user constraints. The iterative process dynamically adjusts resource allocation decisions based on current system state, improving efficiency while managing computational load through incremental updates.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS9906340B2Standards compliant coordinated multi-point scheduling over LTE heterogeneous wireless networks

Publication Date: 2018.02.27 NEC CORP

AI summary

A method and transmitting device are provided for coordinated multi-point transmission scheduling by a transmitting device over one or more heterogeneous wireless networks that include a set of clusters. Each of the clusters has a set of transmission points for serving a set of user equipment devices. The method includes determining constraints imposed on any of the user equipment devices. The method further includes receiving channel state information feedback from the user equipment devices. The method also includes obtaining user weights and buffer sizes. The method additionally includes iteratively determining a weighted sum of user rates based on the constraints, the channel state information feedback, the user weights, and the buffer sizes. The iteratively determining step determines the weighted sum of user rates based on an initial weighted sum of user rates determined for the user equipment devices without the constraints.