LP-WUR Noise Figure Reporting for LP-WUS UE Grouping
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Solution Overview
Problem
Existing LP-WUR architectures have varying noise figure values, impacting sensitivity and requiring mechanisms for network grouping to enhance LP-WUS coverage and reduce false alarm rates, necessitating the reporting of UE-specific noise figures to networks.
Innovation Solution
UEs report their LP-WUR noise figures to the network through dedicated RRC signaling, allowing the network to group UEs with similar receiver sensitivities for efficient LP-WUS transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If UEs with different noise figure values are grouped together for LP-WUS transmission, then network efficiency is improved through simplified grouping, but false alarm rate increases and coverage is degraded
Solution Approach 1:
The network segments UEs into different groups based on their noise figure values. Each group is assigned appropriate code rates and transmission parameters tailored to their specific receiver sensitivity characteristics, enabling reliable LP-WUS reception while maintaining network efficiency through organized group management.
2Reliability
If UE-specific noise figure reporting is implemented, then LP-WUS coverage and reliability are improved through accurate grouping, but device complexity and signaling overhead increase
Solution Approach 1:
The patent changes the parameter being reported from continuous noise figure values to discrete noise figure indicators (NFIs). This quantization approach maintains the ability to group UEs with similar receiver sensitivities while significantly reducing signaling overhead and simplifying the reporting mechanism.
3Use of energy by moving object
If LP-WUR with lower complexity modulation is used, then power consumption is reduced, but noise figure varies across architectures impacting sensitivity
Solution Approach 1:
The patent applies local quality by tailoring transmission parameters including code rates specifically to each UE's noise figure characteristics. This ensures that each UE receives appropriately coded signals matched to its receiver sensitivity, compensating for variations across different LP-WUR architectures while maintaining low power operation.
Data Source
AI summary
A system and a method are disclosed for reporting LP-WUR noise figures. A method performed by a UE supporting an LP-WUS includes establishing a connection with a network device; and providing, to the network device, an indication of a noise figure value of an LP-WUR included in the UE.


