IoT KPI Management Apparatus for Adaptive Communication Performance
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Solution Overview
Problem
In services using radio resources, achieving a targeted Key Performance Indicator (KPI) is challenging due to varying communication performance across IoT devices, leading to insufficient performance for some devices when equal communication lines are provided.
Innovation Solution
A management apparatus that acquires target KPIs, element data for service components, calculates predicted KPIs, and adjusts communication performance to meet specific targets by detecting and optimizing communication performance for each IoT device, ensuring the service meets the defined KPIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If equal communication lines are provided to all IoT devices, then resource allocation is simplified and management is easier, but communication performance becomes insufficient for some devices with varying operational requirements
Solution Approach 1:
The patent applies local quality by customizing communication lines according to each IoT device's specific operational environment and KPI requirements. The management apparatus determines device-specific communication line configurations based on acquired operational data, ensuring that each device receives appropriately tailored resource allocation rather than uniform treatment.
Solution Approach 2:
The patent utilizes parameter changes by adjusting communication line parameters (such as bandwidth, priority, or resource allocation) based on the operational environment and predicted KPIs of each IoT device. The management apparatus dynamically modifies these parameters to optimize communication performance for diverse device requirements.
2Reliability
If communication performance is customized for each IoT device based on operational environment, then service quality meets targeted KPIs, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling IoT devices to autonomously report their operational environment data and KPI requirements to the management apparatus. This automated data collection and reporting mechanism reduces the manual configuration complexity while maintaining customized service quality for each device.
Solution Approach 2:
The patent utilizes feedback mechanisms where the management apparatus continuously monitors operational environment data and KPI achievement levels, then adjusts communication line allocations accordingly. This closed-loop feedback system automates the complexity of customization, allowing the system to adapt to each device's needs without proportionally increasing operational complexity.
3Manufacturing precision
If element data regarding service components is acquired and predicted KPIs are calculated, then communication performance can be optimized to meet targets, but data processing requirements and computational load increase
Solution Approach 1:
The patent applies preliminary action by calculating predicted KPIs before actual service delivery based on acquired element data and operational environment information. This predictive approach allows the management apparatus to pre-determine appropriate communication line allocations, avoiding the need for complex real-time adjustments and reducing overall computational burden.
Data Source
AI summary
An object of the present disclosure is to provide a management apparatus, a communication apparatus, a system, a method, and a program capable of providing a service that meets a targeted KPI. A management apparatus according to the present disclosure includes: KPI management means for acquiring a target Key Performance Indicator (KPI) of a service that is provided to a communication terminal by a business operator; operation state acquisition means for acquiring element data regarding a component necessary for the service, the element data indicating a feature of a control system of the service; KPI prediction means for calculating a predicted KPI which is a predicted value of the KPI of the service based on the element data; and communication performance calculation means for, when the KPI is defined so that a value becomes lower as performance becomes better, detecting the component in which the predicted KPI is equal to or greater than the target KPI.