Cellular Network Component Selection for Renewable Energy Use
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Solution Overview
Problem
Current technologies do not effectively utilize renewable energy sources in cellular networks, leading to inefficient energy consumption and potential underutilization of green energy sources.
Innovation Solution
An information processing method and device that acquire and analyze renewable energy usage data for components within a cellular network, allowing for the selection of candidates that maximize renewable energy usage, thereby optimizing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If data processing is dynamically allocated to multiple data centers based on renewable energy generation, then renewable energy utilization is improved, but system complexity increases
Solution Approach 1:
The patent introduces a selection unit as an intermediary component that manages the complexity of allocating data processing tasks across multiple data centers. This selection unit receives information about renewable energy usage from various data centers and makes centralized decisions about task allocation, thereby improving renewable energy utilization without requiring each data center to independently manage the complexity of coordination with others.
2Loss of energy
If renewable energy usage information is collected and analyzed for component selection, then energy efficiency is improved, but information processing overhead increases
Solution Approach 1:
The patent extracts only the essential information needed for renewable energy-based selection - specifically, renewable energy usage information from each data center - rather than processing all possible operational parameters. This extraction approach enables energy efficiency improvements while minimizing information processing overhead by focusing only on the critical energy-related metrics.
3Object-generated harmful factors
If a selection mechanism is implemented to choose components based on renewable energy potential, then environmental performance is improved, but operational complexity increases
Solution Approach 1:
The selection unit operates autonomously by automatically receiving renewable energy usage information, evaluating data centers based on their renewable energy potential, and making selection decisions without requiring manual intervention. This self-service mechanism improves environmental performance through green energy utilization while keeping operational complexity manageable by eliminating the need for human operators to manually assess and decide based on energy metrics.
Data Source
Figure 1A~1B
Figure 2
Figure 3A~3B
AI summary
An information processing method executed by an information processing device (20), includes: acquiring information indicating renewable energy usage related to each of a plurality of selectable candidates for a component included in a cellular network; and selecting a selectable candidate that has potential for using renewable energy from among the plurality of selectable candidates, based on the information indicating the renewable energy usage.