Beam Prediction Using UE Side Information
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, face challenges in accurately predicting beam conditions due to the difficulty in modeling future environments using conventional statistical signaling processing methods, leading to degraded prediction accuracy when relying solely on UE measurements.
Innovation Solution
The system utilizes side information from other wireless devices to improve beam prediction accuracy. A UE can operate in either a time domain (TD) beam prediction mode or a spatial domain (SD) beam prediction mode, receiving side information associated with neighboring UEs to estimate channel characteristics for downlink reference signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional statistical signaling processing methods are used to predict beam conditions, then the system can operate with existing measurement capabilities, but prediction accuracy degrades due to difficulty in modeling future environments
Solution Approach 1:
The system performs preliminary actions by collecting and storing side information from neighboring UEs about their beam measurements and channel conditions in advance. This pre-collected data is then used to predict future beam conditions, allowing the first UE to anticipate blockages and failures before they occur, thereby improving prediction accuracy without requiring complex real-time modeling.
Solution Approach 2:
The patent introduces side information from neighboring UEs as an intermediary element. Instead of directly modeling complex future environmental conditions, the system uses measurements and data from other UEs as intermediate indicators to infer and predict beam conditions. This intermediary approach simplifies the modeling task while maintaining or improving prediction accuracy.
2Measurement precision
If UE measurements are used exclusively for beam prediction, then the system maintains simple operation, but prediction accuracy degrades
Solution Approach 1:
The system merges two sources of information: traditional UE measurements and side information from neighboring UEs. By combining these complementary data sources, the system achieves improved prediction accuracy. The first UE continues to perform its own measurements while also incorporating side information about beam conditions, blockages, and channel characteristics from other UEs in the vicinity.
Solution Approach 2:
The side information mechanism serves multiple functions: it provides prediction data, indicates potential blockages, reveals channel characteristics, and reduces measurement overhead. This multi-functional approach allows the system to improve accuracy without significantly complicating operation, as the same side information serves multiple predictive purposes.
3Measurement precision
If side information from neighboring UEs is incorporated, then beam prediction accuracy improves, but power and overhead resources increase
Solution Approach 1:
Neighboring UEs self-generate and transmit side information about their beam measurements and channel conditions without requiring the first UE to actively query or measure them. This self-service approach allows the first UE to obtain valuable prediction data passively, reducing its own power consumption for measurements while still improving prediction accuracy through the incorporated side information.
Solution Approach 2:
The system uses partial action by selectively incorporating side information only when it provides value for prediction, rather than continuously processing all possible data. The first UE can adjust the amount of side information processing based on current needs, using enough to improve accuracy but not so much as to unnecessarily increase power consumption and overhead.
4Measurement precision
If comprehensive beam measurements are performed, then prediction accuracy improves, but latency and throughput are negatively impacted due to measurement overhead
Solution Approach 1:
Side information from neighboring UEs is collected and made available in advance before the first UE needs to make beam prediction decisions. This pre-available information allows the system to skip or reduce certain measurement steps, thereby reducing latency while maintaining prediction accuracy. The first UE can quickly query and use pre-collected side information instead of performing comprehensive real-time measurements.
Solution Approach 2:
The system extracts essential prediction-relevant information from side information provided by neighboring UEs, rather than performing complete comprehensive measurements. By taking out only the necessary channel characteristics and beam condition data from the available side information, the system achieves accurate predictions with reduced measurement overhead and lower latency.
Data Source
AI summary
A first UE may receive an indication to operate in at least one of a TD beam prediction mode or an SD beam prediction mode. The indication may be received from a first network entity. A second UE may obtain side information associated with the second UE for at least one of the TD beam prediction mode or the SD beam prediction mode. The second UE may transmit the side information associated with the second UE. The first UE may receive the side information from at least one of the first network entity, the second UE, or a second network entity. The first UE may estimate, based on the side information, one or more channel characteristics for a first set of DL RSs based on at least one of the TD beam prediction mode or the SD beam prediction mode.