Quantized UE Orientation Reporting for 5G Beam Selection
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face inefficiencies in beam management procedures, where network entities waste resources by sweeping across multiple beams to identify suitable ones for UE communication, leading to wasted time and frequency resources.
Innovation Solution
Implementing a method where UE equipment reports quantized orientation values to the network entity, allowing for the selection of optimal beams using machine learning models, reducing the need for extensive beam sweeps and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam sweep procedures are performed to identify suitable beams for UE communication, then beam selection reliability is improved, but time consumption and resource waste increase
Solution Approach 1:
The network entity performs beam sweeping in advance to establish a beam correspondence table that maps UE location information to suitable beam identifiers. This preliminary action stores the relationship between locations and beams, so that during actual communication, the network entity can directly query the table using reported location information to quickly determine appropriate beams without performing time-consuming beam sweep procedures.
Solution Approach 2:
The invention creates a beam correspondence table that copies and stores the mapping relationships between UE locations and suitable beams obtained from preliminary beam sweeping. This table serves as a reference copy that can be quickly queried multiple times without repeating the original beam sweep process, thereby reducing time consumption while maintaining beam selection reliability.
2Measurement precision
If comprehensive beam sweep is performed across all possible beams, then beam selection accuracy is improved, but resource consumption increases
Solution Approach 1:
The network entity performs comprehensive beam sweeping in advance to build a beam correspondence table that maps UE location information to suitable beam identifiers. This preliminary action captures the relationship between locations and beams once, storing the results for future queries, thereby avoiding repeated resource-intensive beam sweep operations while maintaining accurate beam selection.
Solution Approach 2:
The beam correspondence table serves as a stored copy of the mapping relationships between UE locations and suitable beams. Instead of performing energy-consuming beam sweep operations repeatedly, the system queries this pre-computed table using reported location information, significantly reducing resource consumption while preserving beam selection accuracy.
3Productivity
If quantized orientation values are reported by UE, then beam selection efficiency is improved, but information precision is reduced
Solution Approach 1:
The UE reports quantized orientation values instead of continuous orientation data. The orientation information is divided into discrete levels or ranges, which reduces the amount of data to be processed and transmitted. This parameter change from continuous to discrete values improves beam selection efficiency while the quantization is designed to maintain sufficient accuracy for practical beam selection purposes.
Data Source
AI summary
Various aspects relate generally to the beam management procedures in wireless communications systems. Some aspects more specifically relate to the selection of beams for communications to and from a UE and a network entity based on quantized orientation information for a user equipment (UE). In some implementations, a network entity can use the quantized orientation information and a machine learning model to predict a set of beams that may be suitable for communications to and from the UE and the network entity, which may be a subset of the beams that the network entity can generally use for communications to and from the UE and the network entity.