Neural Network Reception Beam Selection for Faster 5G Beam Search
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Solution Overview
Problem
In 5G communication systems, changes in the posture or angle between electronic devices and base stations render previously configured optimal transmission/reception beam pairs ineffective, leading to a lengthy process of finding new optimal beams, which consumes high current and time due to the need to search through all possible reception beams.
Innovation Solution
An electronic device uses an antenna module to form multiple reception beams and a processor to select a subset of these beams, measure their power, and determine transmission conditions using an artificial neural network to select an optimal reception beam for communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the electronic device searches for optimal reception beam by measuring all possible reception beams, then the reliability of beam selection is improved, but the time consumption and current consumption increase significantly
Solution Approach 1:
The patent applies partial action by selecting a subset of reception beams (e.g., 2-4 beams) from the total available beams (e.g., 6-12 beams) based on reception power measurements. Instead of exhaustively measuring all beams, the device measures only the selected subset, reducing time consumption while maintaining sufficient reliability for beam selection.
2Reliability
If the electronic device searches for optimal reception beam by measuring all possible reception beams, then the reliability of beam selection is improved, but the current consumption increases significantly
Solution Approach 1:
The patent reduces current consumption by performing partial measurements. The device measures reception power for only a selected subset of beams rather than all beams, thereby reducing the energy required for the beam search process while still achieving reliable beam selection through the use of an artificial neural network to determine the optimal beam from the measured subset.
3Power
If the electronic device uses directional antenna with narrow beam width, then the signal intensity is improved, but the beam search complexity increases
Solution Approach 1:
The patent introduces an artificial neural network as an intermediary that processes reception power measurements and determines the optimal reception beam. This intermediary simplifies the overall system complexity by providing an intelligent decision-making mechanism that handles the beam selection task, rather than requiring complex exhaustive search algorithms or manual configuration.
Data Source
AI summary
Disclosed in various embodiments of the present invention are a method and a device, the device comprising: an antenna module configured to form a plurality of beams having different directions; and a processor operatively connected to the antenna module, wherein the processor is configured to select a partial reception beam from among a plurality of reception beams, measure the reception power of the selected reception beam, determine a transmission condition through an artificial neural network on the basis of the measured reception power, and determine a reception beam for a communication connection by using the artificial neural network corresponding to the transmission condition. Various embodiments are possible.