Dynamic IoT Coverage Configuration via Service Distribution Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing manual and semi-static methods for configuring internet of things (IoT) coverage levels in wireless communication networks are time-consuming, laborious, and prone to mismatches with the actual network environment, leading to access congestion and resource waste.
Innovation Solution
An information processing method that dynamically configures resource settings for IoT devices by predicting service distribution based on historical data and real-time measurements, allowing for adaptive adjustments to coverage classifications and resource allocations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual and semi-static methods are used for configuring IoT coverage levels, then configuration simplicity is maintained, but system adaptability to time-varying IoT terminal distributions deteriorates, causing access congestion and resource waste
Solution Approach 1:
The patent implements dynamic coverage level configuration by enabling the network device to automatically adjust coverage levels and resource allocations based on real-time service distribution characteristics of IoT terminals. The system transitions from static manual configuration to dynamic adaptive configuration that responds to changing terminal distributions, thereby resolving the contradiction between adaptability and configuration complexity
Solution Approach 2:
The network device performs self-configuration of coverage levels by autonomously determining service distribution characteristics and adjusting resource allocations without manual intervention. This self-service mechanism enables the system to adapt to time-varying terminal distributions while eliminating the need for complex manual reconfiguration
2Loss of energy
If fixed coverage level division is implemented, then initial configuration time is reduced, but resource allocation efficiency deteriorates due to mismatch with actual network environment
Solution Approach 1:
The system continuously monitors service distribution characteristics of IoT terminals and uses this feedback to dynamically adjust coverage level configurations. This feedback mechanism ensures resource allocation matches actual network conditions, reducing resource waste while maintaining timely adaptation to environmental changes
Solution Approach 2:
The patent dynamically changes coverage level parameters based on observed service distribution characteristics. By adjusting parameters such as coverage level thresholds and resource allocations according to actual terminal distributions, the system optimizes resource efficiency without requiring extensive manual configuration time
3Productivity
If manual parameter adjustment is performed after network operation begins, then initial setup is simplified, but system productivity deteriorates due to time-consuming manual analysis and adjustment
Solution Approach 1:
The network device automatically performs parameter adjustment by determining service distribution characteristics and configuring coverage levels without manual intervention. This self-service approach dramatically improves configuration efficiency while eliminating the time loss associated with manual analysis and adjustment
Solution Approach 2:
The system performs preliminary determination of service distribution characteristics and proactively configures coverage levels before access congestion or resource waste occurs. This preliminary action enables the system to maintain optimal performance without requiring time-consuming reactive manual adjustments
Data Source
AI summary
A method, an apparatus, device, and a computer-readable storage medium for processing information are provided. The method is used in a first network device, and includes receiving information related to a second network device, determining a first resource configuration corresponding to a coverage classification related to the second network device based on the information, and transmitting the first resource configuration to the second network device. The method may obtain the first resource configuration through making prediction and calculation analysis based on the information, which may achieve dynamic configurations of different coverage classifications, save energy consumption, and improve system capacity and performance at the same time.