Dynamic Cellular Connectivity Aggression Management
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Solution Overview
Problem
Wireless devices face challenges in dynamically managing cellular connectivity aggression, leading to inefficient power consumption and service availability, as existing methods do not consider battery level and user activity when attempting to obtain cellular service.
Innovation Solution
Implementing a method for wireless devices to dynamically adjust parameters such as barring, RRC connection attempt thresholds, and data request throttling based on battery level and user activity, allowing for more aggressive or less aggressive connectivity attempts depending on conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device aggressively pursues cellular connectivity to improve service availability, then service reliability is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of connectivity pursuit aggressiveness based on real-time device conditions. The system transitions from static connectivity parameters to dynamic parameters that adapt to battery level, user activity, and network conditions, resolving the contradiction by making the system flexible rather than fixed
Solution Approach 2:
The patent changes key parameters including battery level thresholds, user activity levels, and connectivity attempt thresholds. By adjusting these parameters dynamically, the system optimizes the balance between service availability and power consumption under different operating conditions
2Device complexity
If the device uses static connectivity parameters to simplify system design, then device complexity is reduced, but adaptability to different conditions deteriorates
Solution Approach 1:
The system introduces dynamic behavior to adapt connectivity parameters based on device state. Rather than maintaining simple static parameters, the system implements conditional logic that evaluates battery level, user activity, and network conditions to determine appropriate connectivity aggressiveness
Solution Approach 2:
The device autonomously adjusts its own connectivity behavior based on its internal state and external conditions. The system monitors its own battery level and user activity, then self-adjusts connectivity parameters without requiring manual configuration or complex external control
Data Source
AI summary
This disclosure relates to techniques for dynamic selection of connection attempt throttling algorithms based on user context. According to some embodiments, a wireless device may monitor certain current conditions of the UE, such as battery level, user activity level, motion level, and/or other conditions. Depending at least in part on the current conditions of the UE, cellular connection attempt parameters may be selected. In some conditions the cellular connection attempt parameters may be selected such as to allow more aggressive pursuit of cellular connectivity, while in other conditions the cellular connection attempt parameters may be selected such as to allow less aggressive pursuit of cellular connectivity.