Handover Optimization via Extended UE Report Messages
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile radio communication networks face challenges in optimizing handover behavior, leading to Radio Link Failures (RLFs), unnecessary handovers, and ping-pong effects due to inappropriate handover threshold settings, which are labor-intensive and costly to address through traditional drive testing methods.
Innovation Solution
A method that involves adding an information element representing a property of the User Equipment (UE) to a report message about handovers, allowing for optimization of handover behavior by adjusting threshold values and traffic steering parameters based on UE radio properties and conditions, using existing standardized interfaces like the X2 interface in LTE networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional drive testing methods are used to optimize handover parameters, then network performance can be improved, but labor intensity and cost increase significantly
Solution Approach 1:
The network performs self-optimization by automatically analyzing handover statistics and adjusting parameters without requiring external drive testing. The system uses existing network data to identify handover issues and configure optimal parameters autonomously, eliminating the need for labor-intensive field testing while maintaining reliable handover performance.
Solution Approach 2:
The system continuously monitors handover statistics and uses this feedback to automatically adjust handover parameters. By analyzing real-time network data on handover success rates, radio link failures, and call drops, the system iteratively optimizes parameters without requiring manual drive testing, thus improving both reliability and optimization efficiency.
2Reliability
If handover thresholds are adjusted to prevent Radio Link Failures, then network reliability improves, but unnecessary handovers may occur
Solution Approach 1:
The system applies different handover parameter settings for different network conditions and locations. By analyzing local handover statistics and radio conditions, the system adjusts thresholds dynamically rather than using uniform settings, preventing RLFs in critical areas while avoiding unnecessary handovers in stable regions through localized optimization.
Solution Approach 2:
Handover parameters are dynamically adjusted based on real-time network conditions rather than being static. The system continuously monitors handover statistics and radio link quality, automatically modifying thresholds to balance between preventing RLFs and avoiding ping-pong handovers, adapting to changing network dynamics without requiring manual intervention.
3Reliability
If handover parameters are optimized cell-specifically, then handover performance improves, but network configuration complexity increases
Solution Approach 1:
The network automatically generates cell-specific optimization recommendations by analyzing its own handover statistics without requiring manual configuration for each cell. The system self-configures parameters based on aggregated network data, eliminating the need for complex manual cell-by-cell configuration while achieving cell-specific performance optimization.
Solution Approach 2:
The system uses a universal optimization framework that applies to all cells through standardized procedures. By implementing a common self-optimization algorithm that works across the entire network, the system achieves cell-specific customization without requiring separate complex configuration processes for each cell, thus reducing overall configuration management complexity.
Data Source
Figure 1
Figure 2~3
AI summary
Optimizing a handover behavior of a mobile radio communication network based on an extended report message comprising information about a performed handover It is described a method for optimizing a handover behavior of a mobile radio communication network (100, 200) comprising at least a first base station (110, 210) and a second base station (120, 220). The provided method comprises (a) performing a handover (115) of a user equipment (140) from the first base station (110, 210) to the second base station (120, 220); (b) adding an information element representing a property of the user equipment (140) to a report message (122) comprising information about the performed handover; (c) forwarding the report message (122) from the second base station (120, 220) to the first base station (110, 210); and (d) optimizing the handover behavior of the mobile radio communication network (100, 200) based on the added information element. Further, it is described a base station (120, 220, 320) which in conjunction which at least one another base station (110, 210) of the mobile radio communication network (100, 200) is configured for carrying out the described handover behavior optimization method.