User Equipment Beam Parameter Adaptation for 5G NR
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Solution Overview
Problem
In wireless communication networks, particularly in 5G NR systems, the UE faces challenges in efficiently managing beams due to the large number of potential beam combinations, leading to prolonged scanning times, unnecessary signaling overhead, and sub-optimal connections.
Innovation Solution
The UE adapts its beam parameters based on performance indications, dynamically changing its reception antenna configuration and balancing the number of beams in use to optimize Rx quality, thereby reducing unnecessary resource usage and improving connection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE scans all potential beam combinations to ensure optimal connection, then connection reliability is improved, but scanning time and latency increase significantly
Solution Approach 1:
The network node provides preliminary beam information (SSBRI, TCI states) to the UE in advance, indicating which beams are most likely to be optimal. This allows the UE to prioritize scanning these pre-indicated beams first, rather than scanning all possible beam combinations uniformly, thus reducing overall scanning time while maintaining connection reliability.
Solution Approach 2:
The beam scanning process is segmented into priority levels based on network-provided indications. The UE divides the large set of potential beams into subsets (high-priority beams indicated by SSBRI/TCI states versus other beams), scanning the high-priority subset first. This segmentation allows the UE to find a satisfactory beam faster without completely scanning all possibilities.
2Productivity
If the UE uses a large number of beams and antenna panels to improve coverage and capacity, then network performance is improved, but device complexity and battery consumption increase
Solution Approach 1:
The UE does not need to configure and scan all potential beams and antenna panels simultaneously. Instead, it partially activates only the necessary subset of beams indicated by the network (through SSBRI and TCI states), achieving sufficient network performance without the full complexity of managing all possible beam combinations.
Solution Approach 2:
The UE dynamically changes beam parameters (such as beam direction, width, and active antenna elements) based on network indications and channel conditions. This allows the system to achieve high network performance when needed while reducing to lower complexity configurations when conditions permit, optimizing the trade-off between performance and complexity.
3Measurement precision
If the UE scans all beam combinations including neighboring cells to ensure comprehensive coverage, then measurement accuracy is improved, but signaling overhead and processing load increase
Solution Approach 1:
The network node performs preliminary measurements and identifies the most relevant beams and cells before indicating them to the UE. The UE then focuses its measurement efforts on these pre-identified targets rather than independently scanning all possible beams in all cells, reducing the signaling overhead required for beam management while maintaining measurement accuracy for the most important beams.
Data Source
AI summary
It is herein disclosed a method performed by a UE for handling communication in a wireless communication network. The UE obtains an indication of a performance of one or more beams of an antenna panel of the UE. The UE adapts one or more beam parameters of at least one antenna panel of the UE based on the obtained indication, wherein the one or more beam parameters are for establishing one or more beams of the at least one antenna panel of the UE.