Cell Reselection Using Behavior Mode Schemes in Dynamic Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cell selection methods in terminals rely solely on signal strength indexes like RSRP and RSRQ, leading to low speed and effectiveness in cell reselection, especially in dynamic and static mode transitions.
Innovation Solution
A cell selection method that utilizes behavior mode reference information to match a target behavior mode scheme with the current cell scenario, incorporating historical data and environmental factors to optimize cell reselection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cell selection is based solely on signal strength indexes (RSRP and RSRQ), then the selection process is simple, but the speed and effectiveness of cell reselection are low
Solution Approach 1:
The patent applies preliminary action by pre-establishing behavior mode schemes that contain historical cell handover information and patterns. These schemes are prepared in advance based on terminal behavior characteristics, allowing the system to quickly match and apply appropriate reselection strategies without performing complex real-time analysis, thus improving reselection speed while maintaining reasonable complexity
Solution Approach 2:
The patent uses copying by creating behavior mode schemes that replicate historical cell handover patterns and terminal behavior characteristics. Instead of analyzing raw signal data from scratch, the system copies and applies pre-processed behavior patterns that have been extracted from historical data, enabling faster decision-making while reducing the computational complexity of real-time cell selection
2Reliability
If traditional cell selection methods are used without behavior mode information, then the system is simple to implement, but it cannot provide effective guidance for cell reselection in dynamic scenarios
Solution Approach 1:
The system performs preliminary analysis of terminal behavior characteristics and historical cell handover data to establish behavior mode schemes in advance. These pre-established schemes contain guidance information for different scenarios (e.g., moving states, stationary states), enabling the system to provide reliable reselection guidance without performing complex real-time behavior analysis, thus improving reliability while controlling complexity
Solution Approach 2:
The patent applies parameter changes by introducing behavior mode parameters (such as moving state indicators, handover frequency patterns) to enhance the traditional cell selection process. These additional parameters are integrated into the selection criteria, allowing the system to adapt to different terminal behaviors and improve reselection accuracy without requiring a complete redesign of the selection mechanism
Data Source
AI summary
A cell selection method includes: in a case where a first dynamic mode cell is reselected from a first static mode cell, behavior mode reference information is acquired; a target behavior mode scheme matching with the first static mode cell, the first dynamic mode cell and the behavior mode reference information is searched from among multiple alternative behavior mode schemes, where each of the multiple alternative behavior mode schemes records a respective cell handover process where a starting cell and an ending cell are cells in a static mode and a middle cell is a cell in a dynamic mode; and in a case where the target behavior mode scheme is searched out, the cell reselection is performed by using the target behavior mode scheme based on the first dynamic mode cell.