Dynamic Cell Reselection Parameters for Wireless Load Management

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Solution Overview

Problem

Conventional wireless communication systems face challenges in managing resource overload, particularly in areas with varying terminal densities, leading to unpredictable service and potential service outages due to insufficient hardware installations to accommodate peak population densities.

Innovation Solution

Implementing a dynamic load management system that monitors resource capacity and adjusts terminal access parameters, such as signal strength and quality, to distribute load across multiple cells, thereby preventing resource overload by redirecting terminals to less congested cells.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If additional hardware resources are added to cells to serve high terminal density, then the capacity to handle peak population density is improved, but the cost and device complexity increase significantly

Engineering Contradiction:
Improveterminal density capacityVSAvoidhardware resources
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent implements dynamic adjustment of cell access parameters (such as cell reselection offsets, access thresholds, and load balancing parameters) based on real-time terminal density monitoring. This allows the network to adaptively respond to varying terminal densities without requiring additional hardware, resolving the contradiction between handling peak density and avoiding excessive hardware complexity

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters (access control thresholds, reselection parameters, load distribution coefficients) dynamically based on terminal density conditions. This enables the existing hardware to serve varying terminal densities by adjusting parameters rather than adding hardware, addressing the contradiction between capacity and complexity

Inventive Principle:
Principle #35Parameter changes

2Reliability

If hardware resources are increased to accommodate peak population density, then service reliability during peak periods is improved, but the loss of resources during low-density periods increases

Engineering Contradiction:
Improveservice reliabilityVSAvoidresource utilization efficiency
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent employs dynamic parameter adjustment that responds to real-time terminal density conditions. During peak periods, parameters are adjusted to maximize service reliability; during low-density periods, parameters return to normal, avoiding waste of resources. This dynamic adaptation resolves the contradiction between maintaining reliability and avoiding resource loss

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system automatically monitors terminal density and adjusts access parameters without manual intervention or additional hardware provisioning. The network self-regulates resource allocation based on actual demand, ensuring reliability when needed while avoiding resource waste during low-demand periods

Inventive Principle:
Principle #25Self-service

3Reliability

If cell access parameters are made restrictive to reduce terminal access, then resource overload is prevented, but the service accessibility and ease of operation deteriorate

Engineering Contradiction:
Improveresource capacityVSAvoidservice accessibility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent implements dynamic parameter adjustment where access restrictions are applied only when and where terminal density exceeds thresholds. In normal conditions, parameters remain permissive for easy access. This dynamic approach prevents resource overload while maintaining service accessibility, resolving the contradiction between protecting resource capacity and ensuring ease of operation

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10313946B2Dynamic control of cell reselection parameters
Publication Date: 2019.06.04 AT&T MOBILITY II LLC
  • US10313946B2 patent drawing
  • US10313946B2 patent drawing
  • US10313946B2 patent drawing

AI summary

Dynamic cell resource management in wireless networking. By way of example, user terminal access parameters can be dynamically modified based on changing load conditions at one or more cells of a wireless network. For instance, resource capacity of a wireless network cell can be monitored over time to identify a potential resource overload condition. If such a condition occurs, a load management algorithm can be executed that progressively restricts or de-restricts user terminal access parameters based on changing load conditions. In particular aspects, the load management algorithm can analyze relative cell load of neighboring cells to implement coordinated load sharing. By dynamically modifying user access parameters, traffic can be directed toward or away from cells operating at low or high capacity, respectively.