Speed-Dependent Handover Scaling in Heterogeneous Networks
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Solution Overview
Problem
Current wireless communication technologies face challenges in efficiently managing handover transitions between macrocells and picocells, particularly in heterogeneous networks, where existing configuration parameters are not optimal for all mobility scenarios, leading to suboptimal handover triggering and increased ping-pong effects.
Innovation Solution
The implementation of speed-dependent scaling for handover triggering parameters, such as offset values and timeToTrigger, and the use of different parameter sets based on handover types and measurement gradients to expedite handovers between picocells while maintaining stability between macrocells, allowing for more precise control of handover conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing handover configuration parameters are used in heterogeneous networks, then network coverage is maintained, but handover triggering is suboptimal and ping-pong effects increase
Solution Approach 1:
The patent applies speed-dependent scaling to handover triggering parameters, making the handover behavior dynamic rather than static. The system adjusts triggering thresholds and timing parameters based on the UE's current speed, allowing optimized handover triggering for different mobility scenarios in heterogeneous networks
Solution Approach 2:
The patent modifies existing handover parameters by introducing speed-based scaling factors that change parameter values dynamically. Different parameters (such as triggering thresholds and timing) are scaled according to UE speed, transforming fixed parameters into adaptive ones that optimize handover performance across different network conditions
2Productivity
If speed-dependent scaling is applied to handover parameters, then handover efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal speed-dependent scaling mechanism that can be applied across different handover scenarios and network types. A single scaling framework handles multiple cases (macrocell-to-macrocell, macrocell-to-picocell, picocell-to-picocell) without requiring separate complex control logic for each scenario
Solution Approach 2:
Instead of adding complex control logic, the patent achieves improved handover efficiency by modifying existing parameters through speed-based scaling. The approach reuses current parameter structures while introducing scaling factors that adapt parameter values, avoiding the need for entirely new complex control mechanisms
3Ease of operation
If uniform handover parameters are used for all cell types, then configuration simplicity is maintained, but handover performance deteriorates in heterogeneous networks
Solution Approach 1:
The patent applies local quality by tailoring handover parameters to specific local conditions - namely the UE's current speed and the handover scenario type. Rather than using uniform parameters globally, the system adjusts parameters locally based on measured speed and network conditions, optimizing performance for each specific situation
Solution Approach 2:
The system transitions from static uniform parameters to dynamic adaptive parameters that change based on real-time conditions. Speed-dependent scaling introduces dynamic behavior that automatically adjusts handover characteristics according to current network conditions, eliminating the need for manual configuration complexity
Data Source
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AI summary
In a cellular communications network, a measurement report is requested to enable handover conditions to be established. In one approach, a measurement report is based on satisfaction of an event. Signalling for this measurement report includes one or more parameters on the basis of which the event is defined, including a trigger time defining a time period over which the event should be satisfied for the report to be triggered. In one approach, speed dependent scaling is applied to a parameter other than the trigger time, in the defined event. In another approach, a handover scenario, concerning the nature of the cell in which the user equipment is operational, and optionally that of a neighbouring cell, governs the definition of a trigger event.