Smart Data Mode for NR-LTE Power Optimization
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Solution Overview
Problem
Mobile devices operating in cellular networks face challenges in power saving enhancements that do not compromise user experience, particularly in managing system performance during connected and idle states, where existing solutions fail to efficiently transition between different radio access technologies to optimize power consumption.
Innovation Solution
The implementation of a smart data mode (SDM) that dynamically prioritizes camping on New Radio (NR) standalone (SA) cells based on operational states, using connection delay timers to allow NR-to-LTE reselections or LTE-to-NR transitions, and employing measurement reports with custom signatures to facilitate inter-RAT mobility, thereby optimizing power savings without impacting user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If mobile devices use traditional power saving methods in idle state, then power consumption is reduced, but user experience and system performance are compromised
Solution Approach 1:
The patent implements dynamic power saving strategies that adapt to operational conditions. The system transitions between different power states (connected and idle) based on activity patterns, using machine learning models to predict optimal transition timing. This dynamic approach allows the device to maximize power savings while maintaining responsive user experience by avoiding unnecessary state transitions and keeping the device in connected state when user interaction is likely.
Solution Approach 2:
The system performs preliminary actions by proactively transitioning to idle state before user interaction occurs, based on predictive analytics. The machine learning model analyzes historical usage patterns to determine when the device is likely to be unused, allowing the system to enter low-power state in advance. This preliminary action enables power savings without impacting user experience because the transition occurs before the user would need to interact with the device.
2Use of energy by moving object
If mobile devices frequently transition between NR and LTE radio access technologies to optimize power consumption, then energy efficiency improves, but system complexity and transition management difficulty increase
Solution Approach 1:
The patent implements a feedback-driven inter-RAT mobility management system that uses machine learning models to analyze power consumption patterns, signal quality metrics, and user behavior data. The system continuously monitors these parameters and adjusts NR-LTE transition decisions based on learned patterns. This feedback mechanism simplifies transition management by replacing complex rule-based decision logic with adaptive predictive models that automatically optimize handover timing and target selection, reducing the burden on manual configuration and management.
Solution Approach 2:
The system employs self-service mechanisms where the machine learning model autonomously makes NR-LTE transition decisions without requiring manual intervention or complex external control logic. The model learns optimal transition strategies from historical data and applies this knowledge to automatically manage radio access technology selection. This self-service approach reduces system complexity by eliminating the need for intricate transition management protocols and manual configuration, allowing the device to autonomously optimize its power consumption across different RATs.
Data Source
AI summary
The present application relates to devices and components including apparatus, systems, and methods for user equipments and network components performing or assisting prioritization operations.