Bundling Data Transfers and Tail Optimization Protocol
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Solution Overview
Problem
Conventional wireless communication networks face inefficiencies in managing data bursts between user equipment and communication networks, leading to unnecessary allocation and use of wireless network resources and power consumption due to inefficient scheduling and long tail times for state transitions.
Innovation Solution
Implementing a communication management component that analyzes data transfer parameters such as periodicity, jitter, and transfer start time to bundle data transfers and employ fast dormancy and the Tail Optimization Protocol (TOP) to reduce the number of data bursts and tail time, thereby optimizing resource and power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data bursts are sent frequently between user handset and communication network, then data transfer capability is improved, but wireless network resources and power consumption are wasted due to inefficient state transitions
Solution Approach 1:
The patent bundles multiple data transfers into a single data burst by analyzing data transfer parameters (periodicity, jitter, start time) and grouping transfers that can be combined. This merging approach reduces the number of state transitions from idle to active and back, thereby reducing power consumption while maintaining data transfer capability.
Solution Approach 2:
The communication management component performs preliminary analysis of data transfer parameters before scheduling data bursts. By pre-processing transfer information and identifying bundling opportunities in advance, the system optimizes state transition timing and reduces unnecessary active states, thus lowering power consumption.
2Stability of the object's composition
If inactivity timers are used to control release of radio resources, then resource management stability is improved, but tail time becomes excessively long (up to 15 seconds) causing resource wastage
Solution Approach 1:
The patent introduces dynamic tail optimization that adjusts the release timing of radio resources based on actual data transfer patterns and state transition analysis. Instead of using fixed inactivity timers, the system dynamically determines when resources can be released, reducing tail time from up to 15 seconds to a more optimized duration while maintaining resource management stability.
Solution Approach 2:
The communication management component implements feedback mechanisms that monitor data transfer activity and state transitions in real-time. This feedback enables the system to make informed decisions about resource release timing, adjusting tail time based on actual network conditions and transfer patterns, thus reducing resource wastage while maintaining stability.
3Speed
If user handset transitions frequently between idle and active states to handle data bursts, then data transfer responsiveness is improved, but unnecessary state transitions occur leading to resource allocation inefficiency
Solution Approach 1:
The system performs preliminary analysis of data transfer parameters (periodicity, jitter, start time) to predict and prepare for upcoming data bursts. By identifying transfer patterns in advance, the system can optimize state transition timing and bundle multiple transfers, reducing unnecessary transitions while maintaining responsiveness.
Solution Approach 2:
The communication management component autonomously analyzes transfer parameters and makes intelligent decisions about bundling and scheduling without requiring manual intervention. This self-service approach optimizes state transitions and resource allocation automatically, improving both responsiveness and efficiency.
Data Source
AI summary
To facilitate increasing power and resource efficiency of a mobile device, in the mobile device, with regard to periodic or one-time data transfers, a communication management component can analyze information comprising data transfer parameter information, including jitter information, associated with each application of a subset of applications used by the device and can desirably schedule and/or bundle data transfers associated with the applications to reduce the number of separate data bursts to transfer that data to thereby reduce use of wireless resources and power consumption by the device. A push notification system can receive respective jitter information associated with each application from the mobile device, and the push notification system can desirably schedule and/or bundle push notifications to reduce the number of separate data bursts sent to the device to reduce use of wireless resources and power consumption by the device.


