Mobile Terminal System Information Acquisition via Missed Paging Likelihood
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Solution Overview
Problem
In wireless communication networks, particularly in LTE networks, user equipment (UE) faces challenges in determining whether System Information (SI) parameters have changed without receiving paging messages, leading to potential prolonged unreachability and increased power consumption due to unnecessary downloads of BCCH BlockType1.
Innovation Solution
A method and apparatus for mobile communication terminals to estimate the likelihood of missed paging messages and decode downlink messages to ascertain changes in base station parameters, allowing selective downloading of BCCH BlockType1 only when the likelihood of missed messages is high, thereby reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile communication terminal continuously monitors and downloads BCCH BlockType1 to ensure updated SI parameters, then the reliability of system information acquisition is improved, but the power consumption increases
Solution Approach 1:
The terminal performs preliminary actions by attempting to receive and decode paging messages before deciding whether to download BCCH BlockType1. The likelihood estimation mechanism proactively assesses the probability of missing paging messages, allowing the terminal to take preventive action (download SI) only when necessary, rather than continuously monitoring or waiting for potential information changes.
Solution Approach 2:
The terminal serves itself by autonomously estimating the likelihood of missed paging messages and making independent decisions about whether to download updated SI parameters. The self-service mechanism uses internal calculations based on received paging message counts and likelihood thresholds to determine when external information acquisition is necessary, reducing reliance on continuous network broadcasting and manual updates.
2Loss of time
If the mobile communication terminal downloads BCCH BlockType1 frequently to ensure updated SI parameters, then the timeliness of system information is improved, but the loss of energy increases
Solution Approach 1:
Instead of performing full downloads of BCCH BlockType1 frequently, the terminal applies partial action by downloading only when the likelihood of missed paging messages exceeds a threshold. This selective approach performs less action (download) only when necessary (excessive would be continuous downloads), optimizing the balance between timeliness and energy consumption.
Solution Approach 2:
The terminal changes the parameter of download frequency based on the calculated likelihood value. When the likelihood of missed paging messages is low, downloads are infrequent; when the likelihood exceeds the threshold, downloads occur. This dynamic parameter adjustment optimizes both timeliness and energy efficiency by adapting the update frequency to actual network conditions.
3Use of energy by moving object
If the mobile communication terminal estimates likelihood and decodes downlink messages to detect parameter changes, then the power consumption is reduced, but the device complexity increases
Solution Approach 1:
The terminal segments the information acquisition process into distinct stages: first attempting to receive paging messages, then estimating likelihood separately, and only if the threshold is exceeded, proceeding to decode downlink messages for parameter verification. This segmentation allows the terminal to perform simpler operations most of the time, reducing average power consumption while managing complexity through structured processing steps.
Solution Approach 2:
The likelihood estimation acts as an intermediary mechanism between receiving paging messages and decoding downlink messages. This intermediary calculation layer filters when the more complex downlink decoding should occur, reducing the frequency of complex operations while maintaining system reliability. The intermediary step adds manageable complexity that prevents more significant complexity by avoiding unnecessary full decodes.
Data Source
AI summary
A method includes attempting to receive at a mobile communication terminal paging messages, which are transmitted from a base station. A likelihood that the mobile communication terminal has missed one or more of the paging messages is estimated. In response to finding that the estimated likelihood exceeds a likelihood threshold, an ascertainment is made at the mobile communication terminal whether at least one parameter of operation of the base station has changed by decoding at least part of a downlink message, other than the paging messages, that is transmitted by the base station.