CU-DU Signaling for Cross-Link Interference Measurement Reporting
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Solution Overview
Problem
Current wireless communication systems lack standardized techniques for measuring and managing cross-link interference (CLI) between central unit (CU) and distributed unit (DU) components, leading to inefficiencies in CLI detection and mitigation, especially in scenarios with multiple interconnected base stations or mobile nodes.
Innovation Solution
Implementing CU-DU signaling to report CLI measurements, where the CU receives CLI reports from downstream nodes and transmits CLI information to the DU, enabling the DU to perform local CLI management and mitigation actions based on received data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CLI measurements are performed by downstream nodes and reported to CU, then CLI detection capability is improved, but system complexity increases due to additional signaling and processing requirements
Solution Approach 1:
The system segments CLI measurement functionality by having downstream nodes (DUs) perform local CLI measurements independently, while the CU aggregates and processes these measurements. This segmentation allows each component to focus on specific tasks - measurement execution at the DU level and measurement management at the CU level - thereby improving detection capability while distributing complexity across multiple components rather than concentrating it in a single complex system.
Solution Approach 2:
The patent implements a feedback mechanism where downstream nodes report CLI measurement results back to the CU, which then provides feedback to the DU about CLI conditions. This feedback loop enables continuous monitoring and adaptive CLI management, improving detection accuracy while using standardized feedback protocols to manage system complexity through established communication patterns.
2Reliability
If CU receives and processes CLI measurement reports from multiple downstream nodes, then CLI management effectiveness is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by having downstream nodes conduct CLI measurements and prepare measurement reports in advance, rather than waiting for real-time processing at the CU. The DU autonomously performs initial measurement and reporting functions, reducing the processing burden on the CU and enabling more effective CLI management across multiple nodes without proportionally increasing processing time.
Solution Approach 2:
The patent merges CLI measurement functionality across multiple downstream nodes into a unified reporting mechanism where each node independently measures CLI and reports to the CU, which then consolidates this information. This merging approach allows the system to manage CLI across multiple nodes effectively by aggregating data from distributed sources while maintaining efficient processing through standardized reporting formats and protocols.
3Speed
If DU performs local CLI management based on received measurement information, then response time for mitigation actions is improved, but requires additional processing capability at DU
Solution Approach 1:
The system implements dynamic CLI management where the DU adjusts its processing capability requirements based on actual CLI conditions. When CLI measurements indicate problematic interference, the DU activates additional processing to analyze measurement data and execute mitigation actions. This dynamic approach allows the DU to maintain fast response times for mitigation while avoiding unnecessary processing overhead during normal operation, effectively managing the trade-off between response speed and processing capability requirements.
Solution Approach 2:
The patent enables the DU to perform self-service CLI management by autonomously processing received measurement information and executing mitigation actions without requiring continuous intervention from the CU. The DU uses the measurement data to independently determine and implement CLI mitigation strategies, improving response time while the standardized processing frameworks and pre-configured mitigation options reduce the actual processing capability burden compared to fully centralized management.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a central unit (CU) may receive one or more cross-link interference (CLI) measurement reports that are based at least in part on one or more CLI measurements performed by one or more downstream nodes. The CU may transmit, and a distributed unit (DU) may receive, CLI measurement information based at least in part on the one or more CLI measurement reports. In some aspects, the DU may perform one or more CLI mitigation actions based at least in part on the CLI measurement information received from the CU. Numerous other aspects are provided.