Channel Scattering Identification for Adaptive mmWave Beam Management
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Solution Overview
Problem
Existing wireless communications systems, particularly those utilizing mmWave frequencies, face challenges with high path loss, signal attenuation, and poor propagation due to phenomena like low knife-edge diffraction and building penetration, leading to performance degradation without considering channel scattering types in modem beam management designs.
Innovation Solution
A channel scattering identifier is used by user equipment (UE) to select appropriate beam management parameters based on channel scattering types, such as line of sight (LoS) or non-LOS (NLoS), to optimize synchronization signal block (SSB) tracking and beam management, thereby improving performance and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam management parameters are selected without considering channel scattering types, then device complexity is reduced, but wireless communication reliability deteriorates due to high path loss and signal attenuation
Solution Approach 1:
The patent applies parameter changes by selecting different beam management parameters (such as SSB tracking parameters, beam sweeping parameters, and reference signal parameters) based on the identified channel scattering type. The UE identifies whether the channel is LoS or NLoS and adjusts parameters accordingly - for example, using different SSB measurement thresholds, different beam refinement strategies, and different power control parameters for each channel type, thereby optimizing reliability for each scattering scenario
Solution Approach 2:
The patent implements dynamics by making beam management parameters adaptive rather than static. The system dynamically adjusts beam management configuration based on real-time channel scattering type identification. The UE continuously monitors channel conditions, identifies the scattering type, and updates beam management parameters accordingly, enabling the system to adapt to changing propagation conditions and maintain optimal performance
2Reliability
If optimal beam management parameters are selected for each channel scattering type, then wireless communication performance is improved, but power consumption increases due to additional channel scattering type identification
Solution Approach 1:
The patent applies self-service by enabling the UE to autonomously identify channel scattering types and select appropriate beam management parameters without requiring network assistance or additional signaling. The UE uses its own measurements of synchronization signal blocks and reference signals to determine whether the channel is LoS or NLoS, then independently configures optimal beam management parameters, thereby avoiding additional power-consuming network interactions
Solution Approach 2:
The patent implements preliminary action by performing channel scattering type identification using existing synchronization signal block measurements that are already being performed for initial access and beam alignment. The UE leverages these preliminary measurements to determine channel characteristics before configuring beam management parameters, avoiding the need for separate dedicated measurement procedures and reducing overall power consumption
3Measurement precision
If channel scattering type identification is performed, then beam management precision is improved, but measurement complexity increases
Solution Approach 1:
The patent applies universality by using synchronization signal blocks that serve multiple functions - both for initial access/beam alignment and for channel scattering type identification. The same SSB measurements used for basic beam selection are also utilized to determine channel scattering characteristics, eliminating the need for separate dedicated measurement signals and reducing overall measurement complexity
Solution Approach 2:
The patent implements segmentation by dividing the beam management process into distinct stages: initial beam acquisition using SSB measurements, channel scattering type identification based on those measurements, and subsequent beam refinement using the identified scattering type. This segmented approach allows each stage to build upon the previous one, reducing overall complexity while achieving high measurement precision
Data Source
AI summary
Certain aspects of the present disclosure provide a method of wireless communications by a user equipment (UE), generally including detecting one or more synchronization signal blocks (SSBs) transmitted from a network entity, identifying a channel scattering type based on the detecting, and selecting one or more parameters for beam management, based on the identified channel scattering type.


