UE Linear Combination for Adaptive Beam Weight Emulation
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face challenges in optimizing beamforming techniques to improve signal reception and efficiency due to limitations in adaptive beam weight management and feedback overhead.
Innovation Solution
The implementation of independent symbol processing at user equipment (UE) to determine and adjust linear combinations of beamformed signals, emulating adaptive transmit beam weights for network entities, thereby enhancing signal reception and reducing feedback requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive beam weight management is used to improve signal reception, then signal reception quality is improved, but feedback overhead increases
Solution Approach 1:
The UE performs self-processing by independently determining linear combinations of received beamformed signals to emulate adaptive transmit beam weights. This self-service approach eliminates the need for extensive feedback to the network entity, as the UE autonomously processes the signals to achieve optimal reception without requiring continuous feedback overhead.
Solution Approach 2:
The patent reduces feedback overhead by implementing a feedback mechanism where the UE determines linear combinations locally and the network entity communicates based on these determined combinations. This selective feedback approach maintains signal reception quality while minimizing the information loss associated with extensive feedback requirements.
2Productivity
If multiple beamformed signals are processed to improve communication efficiency, then communication efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent segments the processing of multiple beamformed signals by handling each signal component independently through linear combination operations. The UE processes each beamformed signal separately and combines them through simple linear operations, which maintains processing efficiency while managing complexity through systematic segmentation of the processing tasks.
Solution Approach 2:
The system dynamically adjusts the linear combinations based on the specific signal conditions and beam configurations. The UE determines the appropriate linear combinations in real-time based on the received signals, allowing the system to adapt to changing communication conditions without requiring overly complex predetermined processing configurations.
Data Source
AI summary
A method for wireless communication at a user equipment (UE) and related apparatus are provided. In the method, the UE receives multiple transmissions from a network entity. Each transmission of the multiple transmissions may use one symbol of a set of multiple symbols and may be sent using one transmit beam of multiple transmit beams. The UE further determines a first linear combination of the multiple transmissions that emulates an adaptive transmit beam weight, and determines an adaptive receive beam weight based on a second linear combination of multiple receive beams. The method enables a UE to emulate the adaptive transmitting weight based on a linear combination of multiple transmissions of independent symbols, and to adjust the receive beams based on the linear combination. It improves signal reception and efficiency of wireless communication.


