CLI Measurement Across Frequency-Hopping BWPs
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Solution Overview
Problem
User equipment (UE) in wireless communications systems face challenges in identifying optimal frequency resources for cross-link interference (CLI) measurements during frequency hopping, leading to incomplete CLI reporting, increased interference, reduced reliability, and degraded communication quality.
Innovation Solution
The UE selects frequency resources based on a most recent downlink signal to perform CLI measurements, using a beam and bandwidth part (BWP) for monitoring CLI, and maintains filters to report accurate interference levels across multiple BWPs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the UE performs CLI measurements on all frequency resources during frequency hopping, then measurement completeness is improved, but device complexity and processing load increase
Solution Approach 1:
The patent segments the frequency resources into multiple bandwidth parts (BWPs) and divides CLI measurement tasks across these segments. The UE maintains separate CLI filters for different BWPs rather than processing all frequency resources uniformly, which reduces the processing load per segment while maintaining overall measurement completeness.
Solution Approach 2:
The patent implements partial action by allowing the UE to perform CLI measurements on a subset of frequency resources (specific BWPs) rather than all available resources. The network can configure the UE to measure CLI on particular BWPs based on interference patterns, reducing unnecessary measurements while maintaining adequate CLI assessment.
2Measurement precision
If the UE maintains multiple CLI filters for multiple BWPs, then CLI measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality by maintaining different CLI filter characteristics for different BWPs. Each BWP can have its own CLI filter optimized for its specific frequency characteristics and interference patterns, improving measurement accuracy for each local frequency segment while managing complexity through structured filter maintenance.
Solution Approach 2:
The patent implements dynamic filter management where the UE can activate or deactivate specific CLI filters for different BWPs based on current operating conditions. The network can dynamically configure which BWPs require CLI measurement, allowing the filter set to adapt to changing frequency hopping patterns and interference conditions.
3Measurement precision
If the UE selects frequency resources for CLI measurements based on most recent downlink signal, then measurement relevance is improved, but measurement time increases
Solution Approach 1:
The patent applies preliminary action by having the UE prepare and maintain CLI filters for multiple BWPs in advance, rather than creating them on-demand. The network can pre-configure CLI measurement parameters for multiple BWPs, so when the UE needs to perform CLI measurements, the relevant filters and parameters are already prepared, reducing measurement execution time.
Solution Approach 2:
The patent implements self-service by enabling the UE to autonomously select which frequency resources to measure for CLI based on its own reception of downlink signals. The UE monitors downlink signals and independently determines which BWPs require CLI measurement without requiring explicit network instruction for each measurement, reducing signaling overhead and measurement time.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may select frequency resources (e.g., which bandwidth (BW) or bandwidth part (BWP) of a frequency hopping pattern) in which to perform cross-link interference (CLI) measurements. The UE may select the BW or BWP in which to perform CLI based on a most recent downlink signal (e.g., any most recent downlink serving cell channel or downlink signal, or a most recent data message received via a physical downlink shared channel (PDSCH)). The UE may be configured with an anchor BW or BWP, in which to measure CLI. The UE may maintain multiple filters for multiple BWs or BWPs of a frequency hopping pattern, and may report CLI according to a filter result having the strongest CLI, or may report all filtered results for each BW or BWP. The UE may maintain a single filter.


