Multi-Antenna DCI Search Space Segmentation for Beam Recovery
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Solution Overview
Problem
In 5G communication systems, the increased use of beamforming necessitates reconsidering the manner of Downlink Control Information (DCI) blind detection, as current methods lead to enhanced complexity in User Equipment (UE) blind detection without ensuring swift beam recovery and link failure handling.
Innovation Solution
A method for multi-antenna communication that reduces the number of blind detections by defining specific Resource Element (RE) sets and adjusting blind detection patterns based on feedback, allowing for efficient beam recovery without increasing UE complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the UE increases blind detections on the BRR to ensure swift beam recovery, then the beam recovery speed is improved, but the UE implementation complexity increases
Solution Approach 1:
The patent segments the blind detection process by introducing separate search space sets for BRR monitoring. The UE is configured with specific search space sets (e.g., CSS or USS) dedicated to BRR feedback monitoring, which are distinct from regular DCI search spaces. This segmentation allows the UE to efficiently manage blind detections by focusing resources on specific monitoring tasks rather than performing exhaustive blind detections across all possible locations.
Solution Approach 2:
The patent applies preliminary action by pre-configuring search space sets and monitoring parameters through RRC signaling before BRR transmission is needed. The gNB provides configuration information including search space set IDs, monitoring occasions, and other parameters in advance, so that when beam recovery is needed, the UE can immediately monitor the pre-configured resources without requiring complex real-time decisions about where to perform blind detections.
2Reliability
If the UE performs blind detections on multiple RE sets to ensure reliable DCI reception, then the reception reliability is improved, but the detection complexity increases
Solution Approach 1:
The patent introduces dynamic adjustments to blind detection parameters based on beam quality conditions. When the UE detects deteriorating channel quality on the current beam, it can dynamically adjust the monitoring behavior on alternative beams or adjust the number of blind detections performed. The gNB can also dynamically reconfigure search space sets or modify monitoring occasions based on observed UE performance, allowing the system to adapt reliability measures to actual channel conditions rather than using fixed high-complexity configurations.
Solution Approach 2:
The patent implements feedback mechanisms where the gNB monitors UE beam recovery performance and adjusts search space configurations accordingly. The gNB can observe which beams are successful for the UE and use this feedback to optimize the configuration of search space sets, monitoring occasions, and other parameters. This feedback-driven optimization allows the system to achieve reliable DCI reception while minimizing unnecessary blind detections on poor-quality beams.
Data Source
AI summary
The present disclosure provides a method and a device in a User Equipment (UE) and a base station for multi-antenna communication. The UE first receives a first radio signal, and then monitors a first signaling set in a first time-frequency resource set; the first radio signal is used for determining that physical layer signaling(s) corresponding to the first signaling set may occupy any of X1 first-type RE sets. In the first time-frequency resource set at most X2 blind detections are performed in the first signaling set, the X2 blind detections are respectively for X2 second-type RE sets, the X2 second-type RE sets are respectively X2 first-type RE sets of the X1 first-type RE sets.