Pathloss-Based LTE Uplink Sector Emissions Model for Aggregate Interference

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Solution Overview

Problem

Current aggregate interference modeling in cellular networks is based on individual UE contributions, leading to unrealistic assumptions and inaccurate interference predictions, which are crucial for spectrum sharing and sector performance.

Innovation Solution

Implementing a sector-centric architecture that models uplink emissions, using a sector-centric testing architecture to empirically match pathloss statistics from real-world networks, eliminating unrealistic UE emissions assumptions and capturing intra-sector dynamics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If individual UE contributions are summed to obtain aggregate interference, then the modeling approach is simple to implement, but the prediction accuracy is poor due to unrealistic assumptions

Engineering Contradiction:

Improveease of implementationVSAvoidinterference prediction accuracy

Core Design Contradiction:

Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent segments the aggregate interference modeling from individual UE-level contributions to sector-level emissions. Instead of summing individual UE interference contributions, the model divides the sector into multiple emission zones and calculates aggregate emissions at the sector level, which better represents real-world interference patterns while maintaining computational feasibility.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a simplified sector-centric emission model that copies the essential characteristics of real-world interference without requiring complex individual UE tracking. By using pathloss statistics and sector-level parameters, the model replicates aggregate interference behavior more accurately than individual UE summation while reducing computational complexity.

Inventive Principle:

Principle #26Copying

2Measurement precision

If sector-centric architecture is used to model uplink emissions, then the model fidelity is improved by capturing intra-sector dynamics, but the model complexity increases

Engineering Contradiction:

Improvemodel fidelityVSAvoidmodel complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent changes the fundamental parameters of the interference model from individual UE transmit powers and locations to sector-level pathloss statistics and emission zone parameters. This parameter transformation captures intra-sector dynamics and spatial variations in interference while avoiding the complexity of tracking individual UE contributions, achieving better fidelity with manageable complexity.

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If individual UE emissions are considered independently, then the calculation process is straightforward, but the aggregate interference prediction is inaccurate for spectrum sharing

Engineering Contradiction:

Improvecalculation simplicityVSAvoidspectrum sharing accuracy

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent merges individual UE emissions into sector-level aggregate emissions by combining multiple UE contributions within emission zones. This merging approach maintains calculation simplicity while improving spectrum sharing accuracy by considering the collective behavior of UEs in different spatial zones rather than treating each UE independently.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20250254560A1Pathloss-based uplink sector emissions model for LTE aggregate interference prediction

Publication Date: 2025.08.07 THE MITRE CORPORATION

AI summary

Disclosed herein are system, method, and computer program product embodiments for utilizing non-RAM memory to implement a sector emissions model. In some embodiments, a sector-centric testing architecture computes aggregate interference as a sum of contributions from LTE sectors rather than UEs. This granularity enables more accurate modeling of the interference contributions by eliminating some of the unrealistic, constraining assumptions about UE emissions originating from the same sector. With a sector-centric architecture, different models can be used to capture intra-sector dynamics based on selected priorities.