Overlapping RAN Cell Load Control for User Throughput

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Solution Overview

Problem

Existing load management schemes in Radio Access Networks (RAN) fail to efficiently distribute traffic among overlapping cells, neglecting user throughput as a measure of end-user performance, leading to suboptimal resource utilization.

Innovation Solution

A load management system that optimizes traffic distribution across cells based on user throughput by determining target user numbers per cell and applying recommended load distribution parameters to maximize aggregated user throughput, using iterative optimization and machine learning techniques.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional load management schemes are used to distribute traffic among overlapping cells, then load equalization between cells is achieved, but user throughput and end-user performance are not optimized

Engineering Contradiction:
Improveuser throughputVSAvoidload management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent changes the optimization parameter from load equalization to user throughput maximization. The network management system calculates recommended load distribution parameters based on user throughput metrics rather than simply balancing the number of users across cells. This parameter change enables optimization of end-user performance while still maintaining reasonable load distribution.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements a feedback mechanism where the network management system continuously monitors user throughput performance and adjusts load distribution parameters accordingly. The system calculates recommended parameters based on current network conditions and user performance metrics, then applies these recommendations to optimize throughput dynamically.

Inventive Principle:
Principle #23Feedback

2Reliability

If multiple cells overlap to provide adequate coverage, then coverage quality is improved, but efficient traffic distribution and resource utilization become difficult to manage

Engineering Contradiction:
Improvecoverage qualityVSAvoidresource utilization
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies asymmetry by allowing different load distribution weights for different cells based on their individual performance characteristics. Rather than treating all overlapping cells equally, the system assigns asymmetric load distribution parameters tailored to each cell's user throughput performance, enabling more efficient resource utilization while maintaining coverage quality.

Inventive Principle:
Principle #4Asymmetry

3Productivity

If load distribution parameters are adjusted to equalize user distribution across cells, then load balancing is achieved, but aggregated user throughput is not maximized

Engineering Contradiction:
Improveaggregated user throughputVSAvoidtraffic distribution control
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent enables the network management system to automatically calculate and apply optimized load distribution parameters without manual intervention. The system self-adjusts traffic distribution by monitoring user throughput metrics and autonomously determining the optimal parameter settings, thereby maximizing aggregated throughput while simplifying operational control.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12526684B2Load management of overlapping cells based on user throughput
Publication Date: 2026.01.13 NOKIA SOLUTIONS & NETWORKS OY
  • US12526684B2 patent drawing
  • US12526684B2 patent drawing
  • US12526684B2 patent drawing

AI summary

Systems, methods, and software for load management among a plurality of cells that overlap a sector within a Radio Access Network (RAN). In one embodiment, a system performs sector throughput optimization over multiple optimization iterations of determining a total number of active users in the sector, determining a target number of users per cell that maximizes an aggregated user throughput of the sector where a sum of the target number of users per cell is equal to the total number of active users in the sector, determining recommended load distribution parameters for the sector based on the target number of users per cell that maximizes the aggregated user throughput of the sector, and applying the recommended load distribution parameters in the sector to distribute users among the cells.