Dynamic Handover Parameter Control in LTE Networks
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Solution Overview
Problem
Current wireless communication networks face challenges in managing hand-over processes due to fixed hysteresis and offset values, which can lead to poor performance in varying signal strength environments, causing issues like the 'Ping-Pong effect' and inefficient capacity management.
Innovation Solution
A dynamic parameter control system that adjusts hysteresis and offset values based on real-time signal strength measurements, allowing for adaptive hand-over decision-making in LTE networks, using a dynamic parameter controller to select alternate parameter values responsive to changes in reference signal strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed hysteresis and offset values are used in hand-over processes, then device complexity is reduced and ease of operation is improved, but hand-over reliability deteriorates in varying signal strength environments causing Ping-Pong effect and connection drops
Solution Approach 1:
The patent implements dynamic adjustment of hysteresis and offset values based on real-time signal strength measurements. The parameter controller continuously monitors reference signal strength and adaptively modifies hand-over parameters, transforming the static parameter control into a dynamic system that responds to changing environmental conditions, thereby improving hand-over reliability without requiring complex manual configuration
Solution Approach 2:
The system establishes a feedback loop where the parameter controller receives signal strength measurements from the wireless communication environment and uses this feedback to adjust hysteresis and offset values. This closed-loop control mechanism enables the system to automatically adapt to varying signal conditions, preventing Ping-Pong effect and connection drops while maintaining manageable complexity through automated decision-making
2Reliability
If dynamic parameter adjustment is implemented based on signal strength measurements, then hand-over reliability is improved and connection drops are reduced, but device complexity increases due to additional measurement and control mechanisms
Solution Approach 1:
The parameter controller autonomously performs signal strength monitoring, parameter analysis, and adjustment without requiring external intervention. The system self-regulates hand-over parameters based on real-time measurements, eliminating the need for complex manual configuration and external control mechanisms, thereby improving connection stability while keeping the system architecture relatively simple
Solution Approach 2:
The patent focuses on dynamically changing specific hand-over parameters (hysteresis and offset values) rather than redesigning the entire hand-over system. By selectively adjusting these critical parameters based on signal strength measurements, the system achieves improved connection stability with minimal additional complexity, as only specific parameters are modified rather than the entire control architecture
3Productivity
If fixed hand-over parameters are used, then network capacity management is simplified, but hand-over efficiency deteriorates in varying signal conditions leading to inefficient capacity utilization
Solution Approach 1:
The system dynamically adapts hand-over parameters to current signal conditions, enabling more efficient hand-over decisions in varying environments. This dynamic approach optimizes network capacity utilization by performing hand-overs at appropriate times based on real-time measurements, improving hand-over efficiency without requiring complex manual parameter management
Solution Approach 2:
The parameter controller automatically manages hand-over parameters based on signal strength measurements, eliminating the need for complex external parameter management. The system self-optimizes hand-over timing and decisions, improving productivity through automated adaptive control while keeping parameter management simple through self-service operation
Data Source
AI summary
Methods and systems for dynamic parameter selection are provided. A station receives a condition measurement report from user equipment (UE) served by the station. The condition measurement report includes a signal strength indication, which includes a strength of a reference signal measured by the UE that is received by the UE over the air from the station. The wireless communication network includes a Long Term Evolution (LTE) network. A parameter controller compares the signal strength indication to a signal strength threshold, to identify a change in the strength of the reference signal. The parameter controller selects an alternate parameter value of a parameter associated with hand-over that is different from a current parameter value, responsive to the identified change in the reference signal strength. The station sends an instruction to the UE served by the station to perform hand-over measurement reporting using the selected alternate parameter value.