path loss offset

By incorporating a reinforcement learning (RL) predictor into the user equipment, path loss offsets are generated autonomously, solving the complexity of transmit power control in wireless cellular communication and achieving energy-saving and efficient path loss offset management.

CN122294142APending Publication Date: 2026-06-26NOKIA TECHNOLOGIES OY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NOKIA TECHNOLOGIES OY
Filing Date
2025-12-12
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In wireless cellular communication, existing technologies struggle to effectively manage transmit power control when user equipment communicates with multiple base stations or transmit/receive points (TRPs), leading to increased energy consumption and signaling delays.

Method used

The user equipment has a built-in reinforcement learning (RL) predictor that autonomously generates path loss offsets, reducing reliance on the network. It predicts path loss offsets through machine learning algorithms and autonomously instructs the network to stop or resume providing path loss offsets when trigger conditions are met.

Benefits of technology

By reducing signaling requirements and latency, energy savings and faster path loss offset management are achieved, improving communication efficiency.

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Abstract

According to an exemplary aspect of the invention, a user equipment is provided, which is configured to: determine that at least one trigger condition is met, and based on the meeting of at least one trigger condition, instruct the network serving the user equipment to start or stop providing path loss offset to the user equipment.
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