Terminal-Specific Beamforming Adaptation for Signal Quality and Coverage
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Solution Overview
Problem
In next-generation wireless communication systems, there is a need for efficient and unified radio resource management mechanisms that cater to various use cases such as enhanced mobile broadband, ultra-reliable low latency, and massive machine type communication, each with different coverage requirements and frequency bands, to enhance network access and radio resource management.
Innovation Solution
Implementing terminal-specific beamforming adaptation in user equipment (UE) for advanced wireless systems, utilizing UE-specific beam sub-codebooks and adaptive beam training mechanisms to optimize signal transmission and reception based on device-specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If beamforming and massive MIMO techniques are implemented to decrease propagation loss and increase transmission distance, then signal coverage and transmission distance are improved, but device complexity and system configuration complexity increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting beamforming parameters (beam width, beam direction, codebook selection) based on UE-specific conditions such as device orientation, location, and environmental factors. This allows the system to optimize transmission distance for each specific scenario without requiring complex hardware changes, resolving the contradiction between extended transmission distance and device complexity
Solution Approach 2:
The patent implements dynamic beamforming adaptation where beam parameters are continuously adjusted based on real-time UE conditions and channel state information. This dynamic approach enables the system to maintain optimal transmission distance while avoiding the need for static complex configurations, thereby reducing overall system complexity while preserving transmission performance
2Reliability
If terminal-specific beamforming adaptation is implemented to optimize signal transmission based on device-specific conditions, then signal quality and reliability are improved, but processing complexity and computational requirements increase
Solution Approach 1:
The patent employs preliminary action by pre-defining beam codebooks and beamforming parameter sets that are tailored to specific UE conditions and use cases. This pre-computation approach allows the system to quickly select appropriate beam parameters without performing complex real-time calculations, thereby maintaining high signal quality while reducing processing complexity during actual operation
Solution Approach 2:
The patent applies local quality by implementing UE-specific beam sub-codebooks that are customized for individual user equipment based on their specific conditions (device type, orientation, location). This localized approach ensures optimal signal quality for each UE without requiring the entire system to handle maximum complexity for all users, thereby reducing overall processing requirements while maintaining high reliability
3Ease of operation
If unified radio resource acquisition mechanism is implemented to work for various use cases with different coverage requirements, then system simplicity and ease of operation are improved, but adaptability to specific use case requirements may be reduced
Solution Approach 1:
The patent implements universality by designing a unified beamforming framework that can serve multiple use cases (eMBB, URLLC, mMTC) with different coverage requirements. The system uses a common beam management architecture with UE-specific adaptations, allowing a single unified mechanism to handle diverse scenarios without requiring separate complex systems for each use case, thereby maintaining ease of operation while preserving adaptability through parameter customization
Data Source
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AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of user equipment (UE) in a wireless communication system is provided. The method comprises providing an indicia to instruct placement of the UE in a beam training condition, in response to identifying placement of the UE in the beam training condition, performing a beam codebook training including identifying beam usage rate statistics, and generating a beam codebook for a beam generation of an antenna array of the UE for the beam training condition based on the identified beam usage rate statistics, the beam codebook including a UE-specific sub-codebook.