Gradient-Based Handover Optimization in Heterogeneous Wireless Networks
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Solution Overview
Problem
Mobility performance is not optimal when small cells and macro cells are deployed on the same frequency, leading to increased handover failures and ping-pong effects in wireless communication systems.
Innovation Solution
The implementation of communication units and integrated circuits that utilize gradient calculation and scaling to optimize handover processes, adjusting measurement reporting parameters based on mobility states and signal strength gradients to reduce handover failures and ping-pong occurrences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If small cells and macro cells are deployed on the same frequency to enhance network coverage and capacity, then network versatility and productivity are improved, but handover failures and ping-pong effects increase, deteriorating mobility performance and reliability
Solution Approach 1:
The patent applies dynamics by making the measurement reporting parameters adaptive rather than static. The network element dynamically adjusts the reporting threshold and reporting interval based on the UE's mobility state (detected through handover frequency) and the specific cell type (macro or small cell). This allows the system to optimize handover performance for each specific scenario, resolving the contradiction between network versatility and handover reliability.
Solution Approach 2:
The patent implements parameter changes by modifying measurement reporting parameters (thresholds, intervals) based on mobility states and cell types. Different parameter sets are applied for macro cells versus small cells, and for different mobility states. This parameter adaptation directly addresses the handover reliability issue while maintaining the versatile small cell deployment architecture.
2Device complexity
If measurement reporting parameters are kept uniform across all cells to simplify configuration, then device complexity is reduced, but handover performance deteriorates due to inability to optimize for different cell types and mobility states
Solution Approach 1:
The patent applies segmentation by dividing the measurement reporting configuration into different parameter sets for different cell types (macro cells vs. small cells) and different mobility states. Instead of a single uniform configuration, the system segments the parameter space and applies appropriate segments based on current conditions. This segmented approach optimizes handover performance without requiring complex manual configuration of each individual parameter.
Solution Approach 2:
The patent implements self-service through automatic mobility state detection and parameter selection. The network element automatically detects the UE's mobility state based on handover frequency and automatically selects appropriate measurement reporting parameters without requiring manual intervention. This self-service mechanism reduces configuration complexity while maintaining optimized handover performance.
Data Source
AI summary
A method for moving between cells by a wireless device includes receiving instructions for the wireless device to measure and report a gradient change value to apply offsets based on a plurality of speed states; identifying a speed state in which a moving speed of the wireless device is included among the plurality of speed states; obtaining an offset mapped to the speed state; first filtering a received wireless signal at a physical layer and second filtering the received wireless signal at a radio resource control layer; calculating the gradient change value corresponding to the obtained offset. The gradient change value indicates a rate of change of received signal strength with a serving cell or a rate of received signal strength difference between a neighbor cell and the serving cell. A portion of the second filtering of the received wireless signal is determined based on the calculated gradient change value.