5G Beam Selection via Dynamic Candidate Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In 5G wireless communication systems, especially in above 6 GHz (A6G) distributed massive MIMO systems, effective beam selection is challenging due to the presence of multiple beams from different antenna panels, leading to decreased system throughput and potential data transmission interruptions when user equipment (UE) posture changes or transmission signals are blocked.
Innovation Solution
A method and apparatus for dynamically selecting a suitable serving beam for each UE by acquiring network and UE-related information, determining candidate beams based on this information, and allocating resources to ensure continuous data transmission and improved system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple beams are transmitted from different antenna panels to cover a service area, then coverage is improved, but beam selection complexity increases and system throughput decreases
Solution Approach 1:
The base station divides the service area into multiple beam coverage regions, each associated with specific antenna panels. The beam management entity segments the beam selection process by determining candidate beams based on UE location information and selecting serving beams from these candidates, thereby managing complexity while maintaining comprehensive coverage.
Solution Approach 2:
A beam management entity is introduced as an intermediary component at the base station. This entity receives UE location information, determines candidate beams based on the UE's position, and selects appropriate serving beams. This intermediary layer simplifies the overall beam selection complexity by centralizing the decision-making process.
2Area of stationary object
If multiple beams are transmitted from different antenna panels, then coverage is improved, but system throughput decreases due to selection difficulty
Solution Approach 1:
The beam management entity performs preliminary actions by determining candidate beams in advance based on UE location information before actual data transmission. This preliminary beam selection reduces the time and complexity of beam switching during data transmission, thereby improving system throughput while maintaining comprehensive coverage.
Solution Approach 2:
The beam selection process is made dynamic by continuously updating candidate beams based on real-time UE location information. The beam management entity adapts the serving beam selection as the UE moves or changes posture, ensuring optimal throughput while maintaining coverage across the service area.
3Reliability
If beam selection is performed dynamically based on UE posture changes, then transmission reliability is improved, but processing complexity increases
Solution Approach 1:
The system uses feedback mechanisms where the beam management entity receives UE location information and beam quality measurements, then adjusts candidate beam determination and serving beam selection accordingly. This feedback loop ensures reliable data transmission during UE posture changes while managing complexity through automated decision-making based on measured parameters.
Solution Approach 2:
The beam management entity performs self-service by autonomously determining candidate beams and selecting serving beams based on UE location information and beam quality measurements. This self-service capability reduces the need for complex external control while maintaining high transmission reliability during UE movement and posture changes.
Data Source
AI summary
The disclosure relates to a 5th generation (5G) or 6th generation (6G) communication system for supporting a higher data transmission rate. The disclosure relates to the field of communication. A method and device for beam selection are provided. The method for beam selection includes acquiring network related information and/or user equipment (UE) related information for the beam selection, determining at least one first candidate beam corresponding to the UE among beams of a base station based on the acquired information, and determining a serving beam of the UE based on the determined at least one first candidate beam.