Dynamic Load Threshold Adjustment for Base Station Energy Optimization
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Solution Overview
Problem
Current methods for determining load thresholds in base stations are conservative to maintain key performance indicators (KPIs) and end-user experience, limiting the reduction of energy consumption despite high energy costs in network operation.
Innovation Solution
A method and apparatus that dynamically determine a load threshold by evaluating KPI and energy saving information using preselected thresholds, updating periodically based on comprehensive performance evaluation, allowing for real-time adjustments to optimize energy consumption without compromising KPIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a higher load threshold is set to reduce energy consumption, then energy saving is improved, but KPI performance deteriorates
Solution Approach 1:
The patent implements dynamic load threshold adjustment by periodically evaluating multiple preselected thresholds and selecting the optimal one based on current cell conditions. The network element dynamically switches between different load thresholds (first, second, third thresholds) depending on traffic patterns and KPI requirements, transforming the static threshold setting into a dynamic adaptive system that balances energy savings with performance maintenance.
Solution Approach 2:
The patent changes the load threshold parameter based on evaluated performance metrics. By establishing multiple preselected load threshold values and selectively applying different thresholds according to real-time cell status and KPI evaluations, the system optimizes the threshold parameter to achieve both energy reduction and performance preservation simultaneously.
2Reliability
If a conservative load threshold is set to ensure KPI performance, then reliability is improved, but energy saving deteriorates
Solution Approach 1:
The system dynamically adjusts the load threshold based on real-time evaluations rather than using a fixed conservative value. By periodically assessing cell conditions and KPI metrics, the network element can temporarily adopt more aggressive thresholds when conditions permit, thereby reducing energy consumption while maintaining adequate KPI performance through adaptive response to changing conditions.
Solution Approach 2:
The patent implements periodic evaluation of multiple preselected load thresholds with different KPI impacts. By regularly reassessing the optimal threshold based on current cell status and performance requirements, the system can cyclically adjust between conservative and aggressive thresholds, achieving energy savings during favorable periods while maintaining reliability when needed.
3Loss of energy
If multiple preselected load thresholds are evaluated periodically, then energy saving optimization is improved, but device complexity increases
Solution Approach 1:
The patent segments the load threshold selection into discrete predefined levels (first, second, third thresholds with different KPI impacts). By dividing the continuous threshold adjustment space into specific evaluated options, the system simplifies the decision-making process while still achieving optimized energy savings through periodic comparison of these segmented threshold options against current cell conditions.
Data Source
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AI summary
Embodiments of this application provide a load threshold determining method and apparatus. The method includes: obtaining a plurality of preselected load thresholds of a cell; obtaining an evaluation value corresponding to each preselected load threshold in a first periodicity, where each evaluation value is used to evaluate key performance indicator KPI information and energy saving information of the cell; and determining a target load threshold of the cell in a second periodicity based on all evaluation values, where the target load threshold is a load threshold in the plurality of preselected load thresholds, and the second periodicity is a next periodicity of the first periodicity. A determined load threshold in the embodiments of this application can both ensure a KPI and reduce energy consumption of a base station as much as possible.