Dynamic Network Search Parameter Management
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Solution Overview
Problem
Conventional mobile communications networks face inefficiencies in managing network search frequency, leading to excessive battery usage and ping-pong effects due to fixed search parameters, which do not adapt to user behavior or network conditions.
Innovation Solution
The method dynamically adjusts the MinimumPeriodicSearchTimer parameter based on factors such as time connected to a network, number of network switches, location, battery condition, and user preferences, allowing for more efficient search frequency adjustments to balance battery life and quick network reconnection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed search parameter is used for network search, then the network search frequency is simple to manage, but battery usage increases and ping-pong effects occur
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed search parameter to a dynamic search parameter that automatically adjusts based on real-time conditions. The network search parameter is modified according to factors such as time connected to network, number of network switches, location, battery condition, and user preferences, enabling the system to adapt search frequency to current operational state and reduce unnecessary battery consumption.
Solution Approach 2:
The patent implements parameter changes by modifying the network search parameter values based on multiple conditioning factors. The search frequency parameter is dynamically adjusted upward or downward depending on conditions such as whether the user is moving, battery charge level, network connection status, and historical switch patterns, thereby optimizing energy usage while maintaining connectivity.
2Ease of operation
If a fixed search parameter is used for network search, then the system is simple to operate, but ping-pong effects increase
Solution Approach 1:
The patent applies feedback mechanisms by continuously monitoring network connection status, switch history, and operational conditions to automatically adjust the search parameter. The system uses feedback from factors such as number of network switches in a time period, current connection status, and user behavior patterns to modify search frequency, thereby preventing ping-pong effects while maintaining operational simplicity through automated control.
Solution Approach 2:
The system transitions from static to dynamic parameter adjustment, where the network search parameter automatically adapts based on real-time conditions including connection stability, user movement detection, and historical switch patterns. This dynamic adjustment prevents ping-pong effects by reducing search frequency when connection is stable and increasing it only when necessary, maintaining reliability without complex user intervention.
3Reliability
If network search frequency is increased to ensure timely reconnection, then connection reliability improves, but battery usage increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the network search parameter based on multiple conditioning factors including time connected to network, number of previous switches, battery charge level, and user preferences. The search frequency parameter is increased when conditions indicate need for timely reconnection (such as after network switches or when moving) and decreased when conditions allow longer intervals (such as when battery is low or user is stationary), thereby optimizing the balance between reconnection reliability and energy consumption.
Solution Approach 2:
The system implements dynamic parameter adjustment where the network search frequency automatically adapts to current operational conditions. The search parameter increases dynamically when factors such as recent network switches, location changes, or connection failures occur, ensuring timely reconnection. Conversely, the parameter decreases dynamically when battery charge is low, user preferences indicate energy conservation, or the user appears stationary, thereby reducing unnecessary energy consumption while maintaining connection reliability when needed.
Data Source
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AI summary
The present invention provides a method for more efficiently managing a mobile communications network by varying the frequency with which a mobile terminal searches for a home network in accordance with the number of network switches undergone by the mobile terminal in a predetermined period of time.