RRC CLI Measurement Framework for Interference Scheduling
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Solution Overview
Problem
Current mobile communication systems lack standardized methods for filtering and reporting User Equipment (UE) Cross Link Interference (CLI) measurements, which are essential for effective scheduling and coordination between cells to mitigate detrimental interference.
Innovation Solution
A method and apparatus for transmitting and receiving a Radio Resource Control (RRC)-based cross link interference measurement framework object, configured for UE CLI measurement, including L3 filtering parameters and reporting events, to provide semi-dynamic information on UE CLI experience, enabling improved scheduling decisions and reduced interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If UE CLI measurements are implemented without standardized filtering and reporting, then the network can obtain basic interference information, but the scheduling decisions cannot be optimized and signaling overhead increases
Solution Approach 1:
The patent applies parameter changes by introducing L3 filtering parameters (filter coefficient, filtering mode, averaging time) that transform raw CLI measurements into filtered measurement values. This allows the network to adapt the filtering strength according to specific scenarios, improving scheduling decision accuracy while managing signaling overhead effectively
Solution Approach 2:
The patent implements dynamics by enabling semi-dynamic configuration of filtering parameters and reporting events. The network can update filtering coefficients and reporting thresholds based on changing interference conditions, allowing the system to adapt to varying CLI scenarios without requiring full reconfiguration
2Measurement precision
If detailed CLI measurement reporting is implemented, then scheduling accuracy improves, but signaling overhead increases
Solution Approach 1:
The patent implements feedback mechanisms through reporting events that trigger CLI measurement reports based on filtered measurement values comparing against thresholds. This feedback-driven approach ensures detailed reporting only when interference conditions warrant it, maintaining measurement precision while reducing unnecessary signaling overhead
Solution Approach 2:
The patent applies partial action by implementing selective reporting based on event triggers rather than continuous reporting. The network configures specific reporting conditions (events) that only activate when CLI levels exceed thresholds, providing sufficient measurement precision for critical scenarios while minimizing overall signaling overhead
3Reliability
If L3 filtering is applied to CLI measurements, then measurement reliability improves, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by separating filtering operations into distinct L3 processing stage, independent from physical layer measurements. This segmentation allows filtering to be applied systematically through configured parameters without complicating the underlying measurement mechanisms, improving reliability while managing complexity through modular processing
Data Source
AI summary
According to a first example embodiment, a method may include transmitting, by a network entity, at least one radio resource control (RRC)-based cross link interference (CLI) measurement framework object configured for at least one user equipment (UE) CLI measurement. The method may further include receiving, by the network entity, at least one reporting message. The method may further include resolving at least one inter-UE CLI problem on a semi-dynamic time scale based upon reporting rates associated with RRC measurements and/or pre-defined behavior.