Mobile Device In-Device Coexistence Interference Measurement Logging
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Solution Overview
Problem
In wireless communication systems, in-device coexistence interference between collocated radio transceivers, such as LTE and ISM bands, leads to inaccurate network performance measurements due to interference, which complicates network monitoring and performance evaluation.
Innovation Solution
A method and apparatus for a mobile communications device to detect in-device coexistence interference, stop and resume logging measurements accordingly, and transmit information about interference to a base station, using techniques like Frequency Division Multiple Access (FDM) or Time Division Multiple Access (TDM) to mitigate interference, allowing for 'clean' measurement reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurements are continuously logged at the mobile communications device, then network performance monitoring is maintained, but measurement accuracy deteriorates due to in-device coexistence interference
Solution Approach 1:
The mobile communications device performs preliminary detection of in-device coexistence interference before logging measurements. When interference is detected, the device proactively stops or suspends measurement logging to prevent corrupted data from being recorded. This preliminary anti-action ensures that only clean, interference-free measurements are logged, maintaining measurement accuracy while still providing reliable network performance monitoring through selective logging.
2Measurement precision
If in-device coexistence interference is detected and logging is stopped, then measurement accuracy is improved, but data collection completeness deteriorates
Solution Approach 1:
The measurement logging system dynamically adjusts its operation based on real-time interference detection. The logging function is suspended when in-device coexistence interference is detected and resumed when interference ceases. This dynamic approach ensures that measurements are only logged when they would be accurate, preventing loss of clean measurement data while avoiding recording of corrupted data during interference periods.
Solution Approach 2:
When in-device coexistence interference is detected, the system discards (stops logging) measurements that would be corrupted by interference. When interference stops, the system recovers (resumes logging) to continue collecting valid measurements. This selective discarding and recovering strategy prevents loss of valuable clean measurement data while accepting temporary gaps during interference periods when no valid data could be collected.
3Measurement precision
If FDM or TDM techniques are used to mitigate interference, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The mobile communications device performs self-service by autonomously detecting in-device coexistence interference and making decisions to stop or resume measurement logging without external intervention. The device monitors its own operational state, identifies interference conditions, and adjusts its measurement logging behavior accordingly. This self-service approach improves measurement accuracy through intelligent interference avoidance while minimizing additional complexity by leveraging existing device capabilities rather than requiring complex external interference mitigation systems.
Data Source
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AI summary
A method comprising determining if there is in device co-existence interference during operation of said device; and causing information about in device co-existence interference and information about measurements performed by said device to be transmitted to a base station.