Self-Organizing Cellular Network Handover via Real-Time Scheduling Analysis

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Solution Overview

Problem

Current cellular network optimization methods are labor-intensive and slow, requiring significant human effort and time, especially with increasing base station density, and lack real-time knowledge of neighboring base stations' conditions.

Innovation Solution

Implementing a system that receives and analyzes real-time scheduling information from adjacent cells to determine handover procedures and adjust parameters such as power levels and modulation, enabling rapid self-organization of the network without prior knowledge of neighboring cells' decisions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional manual optimization methods are used for base station deployment, then network performance can be optimized through detailed planning and drive tests, but the process becomes labor-intensive and time-consuming

Engineering Contradiction:

Improvenetwork performance optimizationVSAvoidoptimization time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables base stations to automatically monitor their own performance metrics, detect scheduling conflicts with neighboring cells, and initiate handover procedures without human intervention. Each base station independently analyzes its scheduling information and autonomously determines when handover is needed, eliminating the need for manual drive tests and optimization planning.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where base stations monitor scheduling information from neighboring cells in real-time, detect conflicts or suboptimal conditions, and automatically adjust handover parameters. This closed-loop feedback mechanism enables rapid adaptation to changing network conditions without requiring time-consuming manual re-optimization.

Inventive Principle:

Principle #23Feedback

2Productivity

If base station density is increased to improve network coverage and capacity, then network performance improves, but deployment complexity and optimization difficulty increase significantly

Engineering Contradiction:

Improvenetwork capacityVSAvoiddeployment complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

Each base station independently monitors its own scheduling information and automatically detects conflicts with neighboring cells. The system empowers individual base stations to self-manage their handover decisions based on real-time conditions, eliminating the need for complex centralized optimization as density increases.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The optimization function is segmented and distributed to individual base stations rather than being centralized. Each base station independently analyzes its local scheduling conditions and makes autonomous handover decisions, allowing the system to scale to high densities without proportionally increasing overall system complexity.

Inventive Principle:

Principle #1Segmentation

3Extent of automation

If real-time scheduling information from neighboring cells is not shared, then network automation is simplified, but handover optimization becomes slow and inaccurate

Engineering Contradiction:

Improvenetwork automation levelVSAvoidhandover optimization speed

Core Design Contradiction:

Extent of automationVSProductivity

Solution Approach 1:

The system uses scheduling information as an intermediary carrier to enable indirect communication between neighboring base stations. Rather than requiring complex direct coordination protocols, base stations exchange essential scheduling data that allows each to independently determine handover opportunities, achieving rapid optimization while maintaining automation simplicity.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Measurement precision

If manual drive tests are performed to optimize base station settings, then accurate performance data can be collected, but the process becomes expensive and labor-intensive

Engineering Contradiction:

Improveperformance measurement accuracyVSAvoidoptimization effort

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system replaces the mechanical process of manual drive tests with automated electronic monitoring of scheduling information exchanged between base stations. Instead of physically driving around to measure performance, the system uses digital scheduling data to accurately determine handover opportunities, eliminating labor-intensive measurements while maintaining precision.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9392493B1Methods, systems, and computer program products for providing a rapidly self-organizing cellular communications network

Publication Date: 2016.07.12 SIGNAL DECODE INC

AI summary

Methods and systems are described for providing a rapidly self-organizing cellular communications network. In one aspect, scheduling information is received for at least one mobile device previously scheduled for communication in a first cell of a cellular communications network, the scheduling information corresponding to a scheduling decision made for the first cell without the knowledge of scheduling decisions made for a second cell adjacent to the first cell. Whether to initiate a handover procedure to handover the mobile device to the first cell is determined based on the received scheduling information. The mobile device for is scheduled for communications in the second cell and/or the handover procedure is initiated based on the determination.