IoT Network Device Excluding Base Stations by Signal Disturbance
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Solution Overview
Problem
IoT networks face signal disturbance and overload issues due to the inability of IoT Base Stations (BS) to change frequency bands, leading to inconsistent packet reception success rates and service quality deterioration.
Innovation Solution
An IoT network device that identifies and excludes BSs with signal disturbances or overload states, using alternative BSs with better channel conditions to change frequency bands and ensure reliable packet transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If IoT BS continuously uses the same frequency band, then the device complexity is reduced and ease of operation is improved, but signal disturbance occurs and reliability deteriorates
Solution Approach 1:
The network device performs preliminary identification of BSs with signal disturbance or overload states before packet transmission. By pre-excluding problematic BSs based on received messages (pushdata messages indicating signal disturbance, overload status), the system prepares a reliable set of BSs for subsequent communications, ensuring high packet reception success rate without requiring complex real-time switching during transmission
Solution Approach 2:
The network device acts as an intermediary between the terminal and multiple BSs. It receives messages from BSs indicating signal disturbance or overload states, identifies problematic BSs, and excludes them from the packet reception process. This intermediary role simplifies the frequency band management for individual BSs while maintaining high reliability through centralized coordination
2Adaptability or versatility
If IoT BS cannot change frequency band, then the device complexity is reduced and ease of manufacture is improved, but adaptability to signal disturbance deteriorates
Solution Approach 1:
Instead of making the BS change frequency bands (which would increase BS complexity), the invention inverts the approach: the network device identifies and excludes BSs experiencing signal disturbance from the communication process. This reverses the problem-solving direction from active frequency switching to passive exclusion, achieving adaptability without adding complexity to the BS
Solution Approach 2:
The network device extracts and identifies BSs with signal disturbance or overload states from the set of available BSs by processing received messages. Problematic BSs are extracted from the communication pool and excluded, leaving only reliable BSs for packet transmission. This extraction approach provides adaptability to signal disturbance without requiring frequency band switching mechanisms
3Reliability
If multiple BSs are used for packet reception, then the reliability is improved through redundancy, but the difficulty of detecting and measuring signal quality increases
Solution Approach 1:
Each BS autonomously monitors its own signal quality and generates self-service messages (pushdata messages) indicating signal disturbance or overload states. The network device collects these self-reported status messages from multiple BSs and uses them to identify and exclude problematic BSs. This self-service mechanism simplifies detection by leveraging the BSs' own monitoring capabilities rather than requiring complex centralized measurement systems
Data Source
AI summary
Disclosed is technology for improving the quality of an IoT service by avoiding using a frequency band in which signal disturbance occurs and using a BS in an overload state.