Machine Learning Pathloss Estimation for Uplink Power Control
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Solution Overview
Problem
Conventional wireless communication systems face inefficiencies in determining uplink transmission power due to frequent measurements of pathloss reference signals, leading to increased resource usage, network overhead, and power consumption, especially in high-speed and dense deployment scenarios where uplink beams frequently change and not all beams have corresponding downlink transmissions.
Innovation Solution
Implementing a pathloss estimation function using a machine learning model, such as an artificial neural network, at the user equipment (UE) to predict uplink transmission power based on measurements of downlink reference signals, allowing for reduced measurements and improved power control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent measurements of pathloss reference signals are performed to determine uplink transmission power, then power control accuracy is improved, but resource usage and network overhead increase
Solution Approach 1:
The system performs pathloss measurements and updates in advance before uplink transmissions are needed. By maintaining a buffer of pre-measured pathloss values and updating them proactively, the system ensures accurate power control is ready when needed without requiring frequent real-time measurements, thus reducing overall resource usage while maintaining accuracy.
Solution Approach 2:
The system uses downlink reference signal measurements as a proxy or copy to estimate uplink pathloss conditions. By measuring downlink signals (which are typically more readily available) and using these measurements to infer uplink pathloss, the system avoids the need for direct uplink pathloss measurements, reducing resource overhead while maintaining sufficient accuracy for power control.
2Measurement precision
If frequent measurements of pathloss reference signals are performed to determine uplink transmission power, then power control accuracy is improved, but power consumption increases
Solution Approach 1:
The UE performs pathloss measurements and updates in advance during periods when power consumption is less critical, and stores these measurements for later use. This preliminary action ensures that accurate pathloss data is available when needed for uplink transmissions without requiring continuous high-power measurement activities, thus reducing overall power consumption while maintaining power control accuracy.
3Measurement precision
If pathloss reference signals are tracked for all uplink beams, then power control accuracy is improved, but device complexity increases
Solution Approach 1:
The system applies different measurement and tracking strategies to different uplink beams based on their specific characteristics and requirements. Instead of uniformly tracking all beams with the same complexity, the UE identifies which beams require accurate pathloss measurement and focuses measurement resources on those specific beams, reducing overall device complexity while maintaining accuracy where it matters most.
Data Source
AI summary
A method of wireless communication performed at a user equipment (UE) includes receiving, at the UE, a set of downlink (DL) reference signals (RSs) associated with one or more first transmission beams. The method also includes measuring, at the UE, the set of DL-RSs. The method further includes performing, at the UE, an uplink transmission having a transmission power that is set by a pathloss estimation function based on a set of pathloss parameters. One or more of pathloss parameters of the set of pathloss parameters is based on measuring the set of DL-RSs.