UE Predictive Beam Management Using Supported Beam Characteristics
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Solution Overview
Problem
Existing wireless communication systems lack efficient mechanisms for UE-based predictive beam management, which is crucial for optimizing beamforming in environments with varying interference and user mobility.
Innovation Solution
The implementation of a UE apparatus and network node apparatus that facilitate the exchange of requests and responses regarding beam characteristics for predictive beam management, enabling the transmission and reception of downlink reference signals or virtual resources based on UE-supported capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional beam management mechanisms are used, then system complexity is reduced, but beam management efficiency and adaptability to varying interference and user mobility deteriorate
Solution Approach 1:
The UE determines beam characteristics in advance (prior to actual beamforming operations) and reports them to the network node. This preliminary determination includes identifying supported beam shapes, beam associations, and other characteristics that enable the network to pre-configure appropriate beamforming strategies, thereby improving management efficiency without adding complex real-time processing requirements.
Solution Approach 2:
The system dynamically adapts beam characteristics based on UE mobility and interference conditions. The UE reports beam characteristics that reflect current channel conditions, and the network node adjusts beamforming parameters accordingly. This dynamic adaptation allows the system to respond to varying environmental conditions while maintaining a relatively simple overall architecture.
2Adaptability or versatility
If UE-based predictive beam management is implemented, then beamforming adaptability to varying interference and user mobility is improved, but the complexity of beam management mechanisms increases
Solution Approach 1:
The UE performs predictive determination of beam characteristics in advance, identifying which beam shapes and configurations are supported based on current channel conditions and UE capabilities. This predictive approach enables the network to prepare appropriate beamforming strategies beforehand, improving adaptability to future mobility and interference scenarios without requiring complex real-time decision-making mechanisms.
Solution Approach 2:
The UE acts as an intermediary that bridges the network's beamforming capabilities and the actual channel conditions. By determining and reporting supported beam characteristics, the UE provides the network with the information needed to select appropriate beamforming parameters, while the network maintains control over the actual beamforming operations. This intermediary role enables adaptability without significantly increasing overall system complexity.
3Measurement precision
If comprehensive beam characteristics are requested and transmitted, then beam management precision and communication quality are improved, but information exchange overhead and processing time increase
Solution Approach 1:
The system extracts and reports only the most critical beam characteristics that are essential for predictive beam management, such as supported beam shapes, beam associations, and key capability indicators. By selectively extracting and reporting only the necessary information rather than all possible beam parameters, the system achieves sufficient precision for effective beam management while minimizing information exchange overhead and processing time.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a network node, a request that indicates one or more beam characteristics supported by the UE for a UE-based predictive beam management. The UE may receive, from the network node and based at least in part on the request, one or more of a downlink reference signal or an indication of a virtual resource, wherein the downlink reference signal or the virtual resource is associated with the one or more beam characteristics indicated in the request. Numerous other aspects are described.