Beam Tracking Candidate Set Prediction for Wireless Devices
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Solution Overview
Problem
Current beam tracking methods in wireless communication, such as those used in 5G, require frequent adjustments to maintain service quality for moving user devices, which consumes communication resources and power, and often results in inefficient use of these resources due to the need for extensive candidate beam sets.
Innovation Solution
A method that predicts the future trajectory of a user device and determines a candidate set of beams based on this prediction, adjusting the beam tracking measurement frequency and periodicity according to the device's speed and direction, thereby optimizing the use of communication resources and power by focusing on beams likely to be used in the future.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam tracking is performed frequently to maintain proper service for moving user devices, then service quality is improved, but communication resources and power are consumed excessively
Solution Approach 1:
The system performs preliminary actions by predicting the future trajectory of the user device and proactively determining the candidate beam set in advance. This allows the beam tracking to be optimized before the user device actually moves, reducing the need for frequent reactive beam adjustments and thereby conserving communication resources and power while maintaining service quality.
2Reliability
If a large candidate set of beams is used for beam tracking, then proper service for user devices is ensured, but communication resources are used inefficiently
Solution Approach 1:
The system applies local quality by determining the candidate beam set based on the predicted future trajectory of the user device. Instead of using a uniformly large candidate set for all scenarios, the system locally optimizes the beam selection by focusing on beams that are likely to be needed in the future, thereby ensuring proper service while improving resource efficiency.
3Area of stationary object
If beam tracking measurements are performed on all available beams, then complete coverage is achieved, but measurement time and resource consumption increase
Solution Approach 1:
The system extracts only the necessary candidate beams from the full set of available beams based on the predicted future trajectory. By taking out only the relevant beams that are likely to be needed, the system maintains complete coverage for the predicted area while significantly reducing the measurement time and resource consumption compared to measuring all available beams.
Data Source
AI summary
A method for wireless communication is disclosed, wherein an access node is configured to transmit signals using beamforming to a user device, wherein transmitting signals using beamforming comprises transmitting signals using a selected beam of a plurality of available beams, and wherein beam tracking comprises measurements by the user device on a candidate set of beams of the plurality of available beams for beam selection. The method comprises predicting a future trajectory for the user device, and determining the candidate set of beams based on the predicted future trajectory. In some embodiments, determining the candidate set of beams based on the predicted future trajectory comprises giving preference to available beams covering the predicted future trajectory. In some embodiments, determining the candidate set of beams comprises letting a first candidate set of beams associated with a first reliability of the prediction include more available beams not covering the predicted future trajectory than does a second candidate set of beams associated with a second reliability of the prediction when the first reliability is lower than the second reliability. Corresponding apparatus, network node and computer program product are also disclosed.