Dynamic Beamforming Weight Vector Adjustment for SINR
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Solution Overview
Problem
Beamforming in wireless communication systems faces challenges in adapting to changes in user equipment (UE) position and channel status, leading to reduced signal-to-interference plus noise ratio (SINR) and increased block error ratio (BLER).
Innovation Solution
A method implemented at a network node to dynamically adjust the beam width and shape based on real-time changes in the UE's channel state by determining a self-correlation factor and using it to calculate a suitable main lobe width and weight vector for the antennas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming concentrates all power of the antennas to a special direction, then the terminal device can get higher receiving power gain and improved SINR, but the power outside the direction area becomes weaker or even zeroed, causing the beam to fail when UE moves or channel changes
Solution Approach 1:
The patent applies dynamics by making the beamforming weight vector adjustable and adaptable to changing channel conditions. The network device dynamically updates the weight vector based on feedback from the terminal device, allowing the beam to track UE movement and channel variations while maintaining high SINR through continuous optimization of the focusing direction.
Solution Approach 2:
The patent implements feedback mechanisms where the terminal device measures channel quality and sends feedback information to the network device. This feedback loop enables the network device to adjust the beamforming weight vector in real-time, ensuring the beam continues to concentrate power on the terminal device even as UE position or channel conditions change, thus maintaining both high SINR and adaptability.
2Reliability
If the network node refreshes the uplink channel state of the UE more frequently, then the base station can always get the latest channel information to update the beam direction, but one UE might occupy more reference signal resources
Solution Approach 1:
The patent applies partial action by updating the beamforming weight vector based on the degree of channel change rather than continuously refreshing at maximum frequency. The network device adjusts the update frequency according to actual channel variation, performing updates only when necessary to maintain beam accuracy, thus reducing reference signal resource consumption while preserving channel information accuracy.
Solution Approach 2:
The patent changes the parameter of update frequency based on channel conditions. Instead of fixed frequent updates, the system adapts the refresh rate of channel state information and weight vectors according to channel stability and UE movement patterns, optimizing the balance between maintaining accurate beam direction and conserving reference signal resources.
Data Source
AI summary
Various embodiments of the present disclosure provide a method for beamforming. The method which may be at a network node and includes: obtaining channel information of a terminal device; determining a self-correlation factor of the terminal device according to the channel information; determining main lobe width according to a relationship between self-correlation factor and main lobe width; determining a weight vector on at least one transmitting antenna according to the determined main lobe width; and transmitting a message using the weight vector on the at least one transmitting antenna, to the terminal device.