Dynamic Parameter Network Selection for Multi-Mode Devices
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Solution Overview
Problem
Conventional system selection methods in multi-mode radio communication environments rely on static parameters, which fail to adapt to changing transmission conditions, leading to suboptimal network selection, especially in mobile scenarios.
Innovation Solution
A method and apparatus that acquire and rate overlay parameters, including both dynamic and static parameters, to select the most suitable network based on real-time measurements and predefined criteria, ensuring flexible and effective system selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static parameters are used for system selection, then the selection process is simple, but the network selection performance deteriorates due to inability to adapt to changing transmission conditions
Solution Approach 1:
The patent applies dynamics by transitioning from static parameters to dynamic parameters for system selection. The mobile station continuously monitors and acquires dynamic parameters (such as signal strength, quality metrics) from multiple networks and uses these real-time values to determine the best network to camp on, enabling adaptation to changing transmission conditions while maintaining reasonable computational complexity.
Solution Approach 2:
The patent changes the parameters used for system selection from fixed static values to variable dynamic parameters. The mobile station acquires dynamic parameters from broadcast information or measurements and uses these changing parameter values to make network selection decisions, thereby improving selection performance without significantly increasing system complexity.
2Reliability
If dynamic parameters are acquired and processed, then network selection performance improves, but the device complexity increases
Solution Approach 1:
The patent applies self-service by enabling the mobile station to autonomously acquire dynamic parameters from broadcast information or perform measurements itself, and independently process these parameters to determine the best network. This self-contained approach improves network selection performance without requiring complex external infrastructure or centralized control mechanisms.
Solution Approach 2:
The patent implements feedback by continuously monitoring dynamic parameters from multiple networks and using this information to adjust network selection decisions. The mobile station acquires current parameter values, compares them against selection criteria, and adapts its camping decisions based on the feedback from the radio environment, thereby improving performance while keeping the selection logic manageable.
3Reliability
If multiple networks are continuously monitored, then service quality improves, but energy consumption increases
Solution Approach 1:
The patent applies partial action by having the mobile station monitor and acquire dynamic parameters from a limited set of networks or at selective intervals rather than continuously monitoring all available networks. The selection logic evaluates multiple networks but can limit the scope of monitoring to reduce energy consumption while still maintaining adequate service quality through targeted measurements.
Data Source
AI summary
An approach is provided for selecting, by a multi-mode device, one among multiple networks. A plurality of overlay parameters associated with a plurality of networks are acquired, wherein the networks are different from one another. Each of the networks is rated using the overlay parameters according to one or more selection criteria. One of the networks is selected based on the rating.