Energy Behavior Category Mapping for User Equipment
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Solution Overview
Problem
Current communication systems lack an efficient mechanism to categorize and manage energy behavior of user equipment, leading to suboptimal energy usage and charging policies.
Innovation Solution
An apparatus that maps energy behavior categories defined by network operators to user equipment, providing an indication to requesting network functions, and adjusts charging policies based on these categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If energy behavior categorization is implemented, then energy efficiency management is improved, but system complexity increases
Solution Approach 1:
The patent segments the user equipment base into multiple energy behavior categories (e.g., green, yellow, red categories) based on their energy consumption patterns. This segmentation allows the system to manage different groups of devices with tailored charging policies, improving overall energy efficiency without requiring complex individual analysis of each device
Solution Approach 2:
The patent introduces an intermediary function (charging function or network data analytics function) that acts as a mediator between the network and user equipment. This intermediary performs the energy behavior analysis and category assignment, shielding the core network from complexity while enabling sophisticated energy management
2Productivity
If dynamic charging policies are implemented based on energy categories, then charging optimization is improved, but policy management complexity increases
Solution Approach 1:
The patent changes the parameter basis for charging policies from traditional static criteria to dynamic energy behavior categories. By using energy category as the key parameter, the system can automatically adjust charging policies (e.g., energy credits, pricing tiers) based on observed device behavior patterns, improving charging efficiency while maintaining manageable policy structures
Solution Approach 2:
The patent performs preliminary energy behavior analysis and category assignment before charging decisions are made. The charging function or analytics function pre-processes device data to determine energy categories, so that when charging policies need to be applied, the classification work is already complete, streamlining the policy execution process
3Measurement precision
If energy behavior analytics are performed with high accuracy, then categorization precision is improved, but computational resources increase
Solution Approach 1:
The patent applies partial action by focusing analytics on key energy-related parameters and behaviors rather than analyzing all possible device attributes. The system performs sufficient analysis to achieve meaningful categorization accuracy without exhaustively examining every aspect of device operation, balancing precision with computational efficiency
Solution Approach 2:
The patent applies different levels of analytics precision to different user equipment based on their specific characteristics and the importance of accurate categorization for that device type. Not all devices require the same level of analytical scrutiny, allowing the system to allocate computational resources efficiently while maintaining adequate categorization accuracy where needed
Data Source
AI summary
There is provided an apparatus, method, and computer program for causing an apparatus to perform: mapping an energy behaviour category to a user equipment, wherein the energy behaviour category is an energy behaviour category of a plurality of energy behaviour categories defined by a network operator that categorizes how energy efficiently an apparatus is behaving; and providing an indication of the mapped energy behaviour category to a requesting network function.