Mobile Device Resource Optimization via Screen-Aware RRC Control
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Solution Overview
Problem
Current mobile device resource management is inefficient due to static radio resource control settings in 3G and 4G networks, leading to energy waste and increased processing overhead, as devices often remain in a high-power state for extended periods, causing delays and unnecessary resource occupation.
Innovation Solution
Implementing screen-aware optimization techniques, such as fast dormancy and batching, that adjust resource allocation based on display status, allowing devices to switch to low power idle states more quickly and optimize traffic patterns by prioritizing and aggregating packet data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a static and conservative setting of the tail time is used, then the radio access network processing overhead is reduced, but energy efficiency and radio resource efficiency deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of the RRC inactivity timer based on network conditions, device state, and traffic patterns. The timer value is no longer static but adapts in real-time, allowing the system to optimize between energy efficiency and processing overhead by extending or reducing the timer duration according to current operational context.
Solution Approach 2:
The patent changes the parameter values of the RRC inactivity timer dynamically based on multiple factors including network load, device battery status, and traffic characteristics. By adjusting this critical parameter, the system achieves better energy efficiency while managing processing overhead through conditional parameter modification.
2Loss of time
If the RRC inactivity timer is extended to prevent frequent state promotions, then processing overhead is reduced, but user-perceived delay increases
Solution Approach 1:
The patent dynamically adjusts the RRC inactivity timer based on traffic patterns and network conditions. When traffic is frequent, the timer is extended to avoid unnecessary state transitions and reduce overhead. When traffic is sparse, the timer is reduced to minimize user-perceived delay, thus balancing both objectives dynamically.
Solution Approach 2:
The system modifies the RRC inactivity timer parameter based on observed traffic characteristics and network state. By changing this parameter adaptively, the patent resolves the contradiction between reducing processing overhead (requiring longer timer) and minimizing user delay (requiring shorter timer).
3Loss of energy
If fast dormancy is implemented to quickly release radio resources, then energy consumption is reduced, but radio resource control complexity increases
Solution Approach 1:
The patent segments the radio resource control into multiple decision layers: fast dormancy decisions based on simple screen state detection, medium-term decisions based on traffic patterns, and long-term decisions based on network conditions. This segmentation allows fast dormancy to operate with simple logic while higher layers handle complex resource management.
Solution Approach 2:
The patent introduces an intermediary mechanism that monitors device state (particularly display state) and traffic patterns to mediate between the need for fast dormancy (energy saving) and the need for simple control logic. This intermediary layer processes complex decisions and presents simplified commands to the fast dormancy mechanism.
Data Source
AI summary
A more efficient mobile device can be achieved via an optimization process based on display screen dormancy. Application data transmissions can be throttled based on a screen-on or screen-off status of a mobile device. Furthermore, an application management platform can be used to prioritize application data transmissions based on data associated with each application's packet transmissions.