Dynamic Radio Transmission Power Threshold Determination
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Solution Overview
Problem
Current 5G NR implementations may be overly conservative in determining radio transmission power consumption, potentially wasting resources by considering past power consumption below a guaranteed level as equal to the guaranteed level, without accounting for real-time variations.
Innovation Solution
A network node device evaluates radio transmission power consumption over a sampling period and computes a real-time or non-real-time radio transmission power threshold based on past consumption, ensuring that power usage within a sliding window does not exceed a predetermined limit, allowing for dynamic adjustment and optimization of power transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current 5G NR implementations use averaging time Tavg of 1 to 30 minutes to determine radio transmission power consumption, then compliance with RF EMF exposure requirements is achieved, but resource waste occurs due to overly conservative power threshold determination
Solution Approach 1:
The patent implements dynamic adjustment of power thresholds by continuously monitoring actual power consumption and updating thresholds in real-time or near-real-time. The network node device adapts the power threshold based on observed consumption patterns, transitioning from static conservative thresholds to dynamic optimized thresholds that reflect actual usage, thereby reducing energy waste while maintaining compliance.
Solution Approach 2:
The system employs feedback mechanisms by evaluating the function of power consumption over sampling periods and using this information to determine updated power thresholds. The network node device receives feedback on actual power consumption and adjusts future threshold decisions accordingly, creating a closed-loop system that optimizes power usage while ensuring regulatory compliance.
2Device complexity
If past radio transmission power consumption below guaranteed level is considered equal to guaranteed level, then simplified computation is achieved, but resource optimization is lost
Solution Approach 1:
The patent performs preliminary evaluation of power consumption functions over sampling periods before making threshold decisions. By pre-computing and storing power consumption data and evaluating trends in advance, the system prepares optimized thresholds ahead of time, reducing the need for complex real-time computations while improving power usage efficiency.
Solution Approach 2:
The system implements a two-tier computation approach where simple real-time computations provide baseline thresholds, and more sophisticated non-real-time computations provide optimized thresholds when conditions permit. This partial application of complex computation (only when beneficial) balances computational simplicity with power optimization, applying advanced processing selectively rather than continuously.
3Loss of energy
If real-time computation is used to determine power threshold, then power optimization is improved, but computational load and processing time increase
Solution Approach 1:
The patent implements periodic evaluation of power consumption at defined sampling period boundaries rather than continuous monitoring. By computing power thresholds periodically at these boundaries and holding them constant between evaluations, the system achieves power optimization without the computational burden of continuous real-time processing, balancing efficiency with processing requirements.
Solution Approach 2:
The system performs preliminary computations during idle periods or at sampling period boundaries before actual transmission decisions are needed. By preparing power threshold values in advance during periods when computational resources are available, the system reduces the computational load during critical transmission decision-making moments, optimizing both power efficiency and processing timing.
Data Source
AI summary
Devices, methods and computer programs for determining a radio transmission power threshold are disclosed. At least some of the example embodiments described herein may allow improving resource usage by serving a maximum amount of traffic and not wasting resources, while also ensuring the possibility of serving a minimum traffic level.