Load-Based Mobility Parameter Scaling in Wireless Terminals
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Solution Overview
Problem
In wireless communication systems, terminals face challenges in optimizing mobility and traffic routing due to varying load levels in serving and neighboring networks, leading to suboptimal service quality and inefficient resource allocation.
Innovation Solution
A load-based method for terminal mobility, where the terminal obtains and scales mobility parameters based on load levels of serving and neighboring networks, allowing for informed mobility evaluations and efficient traffic routing decisions, including handovers and access to non-3GPP networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal performs mobility evaluation based on conventional parameters without load consideration, then the mobility decision process is simple and fast, but the service quality deteriorates due to inappropriate handovers to congested networks
Solution Approach 1:
The patent applies parameter changes by introducing load level as a new parameter in the mobility evaluation process. The terminal scales conventional mobility parameters (such as threshold values and hysteresis) based on the load levels of serving and neighboring networks. This transforms the mobility evaluation from using fixed parameters to using dynamically scaled parameters that adapt to network conditions, thereby improving service quality by preventing handovers to congested networks while maintaining a manageable evaluation process.
2Reliability
If the terminal obtains and applies load level information for mobility decisions, then the service quality improves through informed handovers, but the information acquisition and processing time increases
Solution Approach 1:
The patent applies preliminary action by having the terminal obtain load level information from neighboring networks in advance, before the actual mobility decision is made. The load level information is acquired through measurement procedures and stored, allowing the terminal to quickly reference this pre-obtained data when mobility evaluation is triggered. This reduces the time required at the moment of decision-making while still enabling accurate load-aware mobility choices.
Solution Approach 2:
The patent replaces the conventional mechanical approach of direct signal strength comparison with a scaled parameter evaluation system. Instead of simply comparing raw measurement values, the terminal applies scaling factors derived from load levels to modify threshold values and hysteresis parameters. This substitution transforms the mobility evaluation from a direct mechanical comparison to a more sophisticated but efficiently computable scaled parameter assessment.
3Reliability
If the terminal uses scaled mobility parameters based on load levels, then inappropriate handovers are prevented improving service quality, but the device complexity increases due to additional scaling operations
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting mobility evaluation parameters based on load conditions. Scaling factors are calculated from the difference between neighboring and serving network load levels, and these factors are used to modify threshold values and hysteresis parameters. This transforms fixed parameters into adaptive parameters that automatically adjust to network load conditions, preventing handovers to congested networks while maintaining clear and implementable evaluation rules.
Solution Approach 2:
The patent implements feedback by using the load level information from neighboring networks to adjust the mobility evaluation parameters. The scaling process creates a feedback loop where the current network load state influences the decision thresholds, which in turn affect handover decisions. This feedback mechanism ensures that mobility decisions are continuously adapted to the actual network conditions, improving handover appropriateness while maintaining a systematic and manageable complexity level.
4Measurement precision
If the terminal obtains load information from multiple networks, then the mobility decision becomes more accurate, but the information acquisition process becomes more complex
Solution Approach 1:
The patent applies universality by designing a unified information acquisition mechanism that serves multiple purposes. The same measurement and information gathering process is used both for conventional mobility evaluation and for load-aware mobility evaluation. The terminal uses general-purpose measurement procedures to obtain signal strength and quality information, and extends this same process to acquire load level information from neighboring networks. This multi-functional approach reduces the need for separate specialized procedures, thereby reducing overall system complexity while maintaining accurate load assessment.
Data Source
AI summary
Provided is a load-based method for moving carried out by a terminal in a wireless communication system. The method comprises obtaining a load level of a serving network and/or a neighboring network, scaling a mobility parameter by applying a scaling factor according to the load level of the serving network and/or a scaling factor according to the load level of the neighboring network, and performing a mobility evaluation of the serving network and the neighboring network based on the scaled mobility parameter.