UE Receive Beam Selection Using Collaborative Learning
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, face challenges in optimizing beam management at user equipment (UE) for receiving synchronization signal blocks (SSBs), leading to suboptimal performance due to inadequate selection of receive beams.
Innovation Solution
Implement collaborative learning and self-learning techniques for UE beam management, utilizing crowd-sourced information from other UEs and storing data associated with receive beams, power measurements, and UE environment to improve beam selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a UE uses traditional beam management methods to receive SSBs, then the basic communication function is maintained, but the beam selection performance is suboptimal leading to reduced communication efficiency
Solution Approach 1:
The patent implements feedback mechanisms where UEs report beam measurement results to the network entity, and the network entity provides feedback about aggregated beam data from multiple UEs. This feedback loop enables continuous optimization of beam selection, allowing the system to learn from actual communication outcomes and improve beam management performance over time.
Solution Approach 2:
The patent enables UEs to perform self-learning for beam management by storing and utilizing locally aggregated beam data from multiple UEs. Each UE can independently optimize its beam selection based on collected data without requiring continuous network intervention, improving communication efficiency while reducing network overhead.
2Reliability
If collaborative learning techniques are implemented using crowd-sourced information from multiple UEs, then beam management effectiveness is improved, but the system complexity increases
Solution Approach 1:
The patent segments the beam management system into independent modular components: individual UE beam measurement modules, local data aggregation modules, and network-level coordination modules. Each UE maintains its own beam data independently, and the system combines results through standardized interfaces, reducing overall system complexity while improving effectiveness.
Solution Approach 2:
The patent creates universal beam data structures and protocols that can be used across different UE types and network configurations. The aggregated beam data format and sharing mechanisms are designed to be multi-functional, working across various 5G NR scenarios and device capabilities, thereby managing complexity through standardization.
3Measurement precision
If UEs store and share aggregated beam data from multiple UEs, then beam selection accuracy is improved, but the information processing overhead increases
Solution Approach 1:
The patent extracts only the essential beam management information from UE measurements - specifically beam identifiers, signal quality metrics, and basic environmental parameters - while discarding redundant raw measurement data. This extraction approach maintains beam selection accuracy by preserving key information while significantly reducing processing overhead and data storage requirements.
Solution Approach 2:
The patent implements partial information sharing where UEs share aggregated beam data with the network and potentially with other UEs, but not all possible information is transmitted. The system uses just enough data to achieve improved beam selection accuracy without the excessive overhead of complete information exchange, balancing precision and efficiency.
Data Source
AI summary
Aspects of the disclosure are directed to method of selecting receive beams using a neural network (e.g., via a reinforcement learning process). In some examples, a user equipment (UE) may select one or more receive beams for receiving synchronization signal blocks (SSBs) of a first synchronization signal burst set (SSBS). In some examples, the UE may measure a power of a first SSB of the first SSBS received via a first receive beam of the one or more receive beams. In some examples, the UE may store, in a local storage, the measured power of the first SSB and at least one parameter associated with receiving the first SSB.