Cell Load Imbalance Optimization via Timing Advance Offset

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

In mobile communication networks using multiband networking, load imbalances between cells covered by the same network lead to poor user experience due to uneven data transmission speeds, as most users access a single cell while a few access others, necessitating optimization to distribute load more evenly.

Innovation Solution

A method to determine and adjust the load of cells with the highest and lowest network load rates by calculating a target offset parameter based on timing advance and sampling points, allowing user equipment to reselect or switch cells to balance the load, thereby optimizing unbalanced loads within the same network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiband networking is used to improve network capacity, then network coverage and user capacity are improved, but load imbalance between cells occurs causing poor user experience

Engineering Contradiction:
Improvenetwork capacityVSAvoiduser experience
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent changes the parameter of cell selection by introducing a target offset parameter that adjusts the predetermined index based on timing advance and sampling point differences. This parameter modification redirects user equipment from overloaded cells to underloaded cells, balancing the load distribution across multiple cells while maintaining network capacity

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If user equipment accesses the same cell, then connection simplicity is maintained, but load concentration occurs reducing data transmission speed

Engineering Contradiction:
Improveconnection simplicityVSAvoiddata transmission speed
Core Design Contradiction:
Ease of operationVSSpeed

Solution Approach 1:

The system enables user equipment to automatically select optimal cells based on the target offset parameter without manual intervention. The user equipment self-adjusts its cell selection by comparing timing advance and sampling points, distributing connections across multiple cells to prevent load concentration while maintaining simple automatic connection behavior

Inventive Principle:
Principle #25Self-service

3Productivity

If automatic optimization is implemented, then load balancing is improved, but system complexity increases

Engineering Contradiction:
Improveload balancing efficiencyVSAvoidoptimization system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a feedback mechanism where the network device calculates the target offset parameter based on timing advance and sampling point differences, then uses this parameter to guide user equipment cell selection. This feedback loop automatically balances load across cells through parameter adjustment rather than complex system reconfiguration, improving load balancing while controlling system complexity

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11889354B2Method for load imbalance optimization under same network coverage, apparatus, device, and storage medium
Publication Date: 2024.01.30 NANJING HOWSO TECH
  • US11889354B2 patent drawing
  • US11889354B2 patent drawing
  • US11889354B2 patent drawing

AI summary

A method, device, and apparatus for optimizing unbalanced loads covered by a same network and a storage medium are provided. The method includes: determining whether loads of cells covered by a same network are balanced; determining, if the loads of the cells are unbalanced, a cell with a highest network load rate and a cell with a lowest network load rate in the cells; determining a target offset parameter corresponding to a predetermined index according to a timing advance and the number of sampling points of each of the cell with the highest network load rate and the cell with the lowest network load rate; and adjusting a load of the cell with the highest network load rate and a load of the cell with the lowest network load rate based on the target offset parameter.