Dual Connectivity Power Management via Dynamic Inactivity Timer Adjustment
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Solution Overview
Problem
Dual connectivity in communication devices poses challenges in managing and regulating power consumption, leading to inefficiencies in resource allocation and increased power dissipation, particularly due to the time gap between network connections reaching inactivity states.
Innovation Solution
The method involves computing time gaps based on inactivity timers and data transfer times across multiple network connections, adjusting data shares to minimize the time gap and optimize resource release, using machine learning algorithms to predict and prioritize devices for delta reduction, thereby enhancing power savings and network resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dual connectivity is used to enhance data throughput, then the amount of data provided to the communication device is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of network connection states by introducing configurable inactivity timers that automatically transition network connections between active and inactive states based on data transfer activity. This dynamic state management allows the system to maintain dual connectivity for high throughput when needed while automatically reducing power consumption during periods of no data transfer, thus resolving the contradiction between productivity and energy usage.
Solution Approach 2:
The patent employs periodic monitoring of data transfer activity through inactivity timers that reset whenever data is transmitted or received. When these timers expire, the system periodically transitions network connections to an inactive state, creating a rhythm of active and inactive periods that maintains productivity when data flows while conserving energy during idle periods, thereby addressing the throughput-power consumption tradeoff.
2Reliability
If dual connectivity is maintained to support high-quality applications, then application quality is improved, but power dissipation increases
Solution Approach 1:
The system dynamically adjusts the connectivity state of network interfaces based on application activity patterns. By implementing configurable inactivity timers that monitor data transfer patterns, the system can maintain high-quality application support through dual connectivity when applications are active while automatically transitioning to lower power states when applications are idle, thus resolving the contradiction between reliability and energy loss.
Solution Approach 2:
The patent implements self-service power management where the network connection management system automatically monitors its own activity patterns through inactivity timers and autonomously transitions connections between active and inactive states without requiring external intervention. This self-managed approach ensures application quality is maintained when needed while automatically reducing power dissipation during idle periods, addressing the reliability-energy loss contradiction.
3Use of energy by moving object
If inactivity timers are extended to reduce power consumption, then power savings are improved, but resource allocation efficiency deteriorates
Solution Approach 1:
The patent introduces configurable inactivity timer parameters that can be adjusted to optimize the balance between power savings and resource allocation efficiency. By allowing dynamic modification of timer duration parameters, the system can extend inactivity periods to maximize power savings during low-activity periods while maintaining shorter timers during high-activity periods to preserve resource allocation efficiency, thus resolving the contradiction between energy usage and productivity.
Solution Approach 2:
The system dynamically adjusts resource allocation based on the state of inactivity timers and current data transfer activity. When timers indicate prolonged idle periods, the system transitions connections to inactive states to maximize power savings. When activity resumes, resources are quickly reallocated, maintaining efficiency. This dynamic adaptation resolves the contradiction between power savings and resource allocation efficiency by allowing both to be optimized at different times based on actual usage patterns.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, computing a first time gap associated with a completion of a first transfer of first data via a first network connection and a completion of a second transfer of second data via a second network connection that is different from the first network connection, determining, based on the computing of the first time gap, that the first time gap exceeds a threshold, and adjusting, based on the determining, respective shares of third data that are to be transferred via the first network connection and the second network connection. Other embodiments are disclosed.