Wireless Device Battery Optimization via Idle Mode Handover Suppression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Poor battery life in mobile devices due to excessive switching between cells in idle mode, caused by misconfigured wireless networks or incorrect IRAT cell resection parameters, leading to customer dissatisfaction and increased replacement costs.
Innovation Solution
A data collection agent installed on wireless devices records and reports idle-mode handovers, allowing network operators to identify and optimize handover zones and IRAT cell resection parameters, thereby reducing battery-wasting multiple handovers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the phone monitors broadcast channels of cells in idle mode, then battery consumption is reduced, but the phone cannot detect misconfigured handover zones or incorrect IRAT cell resection parameters
Solution Approach 1:
A data collection agent is introduced as an intermediary component that runs on the wireless device to collect handover data. This agent acts as a mediator between the phone's idle mode operations and the network operator's ability to detect handover issues, enabling detection without requiring the phone to actively monitor or report handovers in real-time.
Solution Approach 2:
The data collection agent automatically collects handover data in the background without user intervention or additional power consumption from the phone's main processing. The agent self-manages data collection, storage, and reporting, allowing the phone to maintain low power consumption while still enabling handover detection capabilities.
2Reliability
If network operators implement comprehensive monitoring of idle mode handovers, then handover optimization is improved, but system complexity and implementation cost increase
Solution Approach 1:
The monitoring system leverages the existing data collection agent infrastructure that already runs on wireless devices. By reusing this self-service component for handover data collection, the system avoids the complexity of building a completely new monitoring infrastructure from scratch.
Solution Approach 2:
The data collection agent serves multiple functions: it collects various types of network data for different purposes including handover detection, performance monitoring, and optimization. This multi-functionality reduces overall system complexity by consolidating multiple monitoring capabilities into a single unified agent.
3Reliability
If the phone frequently switches between cells in idle mode, then network coverage is maintained, but battery life deteriorates due to excessive searching
Solution Approach 1:
The system implements feedback by collecting handover data and analyzing it to identify problematic handover patterns. This feedback loop enables network operators to detect misconfigured handover zones and incorrect parameters, allowing them to optimize the network configuration to reduce unnecessary handovers and improve battery life.
Solution Approach 2:
The data collection agent continuously collects handover data in the background during normal operation. This preliminary data collection occurs before optimization actions are taken, enabling proactive identification and resolution of handover issues before they significantly impact battery life.
Data Source
AI summary
One example of a method of managing battery usage by a wireless mobile communication device includes reading a start time, an end time, and other information, for each of a number of extents, and identifying one or more handovers, using the start time, end time, and other information, wherein the one or more handovers are handover activity. Next, the handover activity is compared to an allowable threshold, and a determination made as to when the number of idle mode handovers exceeds the allowable threshold. Finally, battery usage by the wireless mobile communication device is reduced by taking action to reduce the number of idle mode handovers that occur.