Wireless Resource Visualization for IoT Communication Stability
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Solution Overview
Problem
In IoT applications, especially in factories, wireless communication stability is challenging due to varying propagation path qualities and interference, making it difficult to predict and ensure stable communication, particularly in uplink scenarios where resource distribution is affected by frequency channel allocation and interference, and existing technologies lack effective methods for measuring wireless quality before terminal installation.
Innovation Solution
A communication system that includes a base station, an edge apparatus, a packet analysis apparatus, and a wireless quality calculation unit to analyze traffic and calculate wireless quality, allowing visualization of resource usage and prediction of future usage scenarios, enabling on-site managers to assess stability without modifying the base station apparatus, by using a wireless simulator to model radio wave propagation and estimate resource requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless communication is used in IoT systems, then flexibility and ease of deployment are improved, but communication stability and reliability deteriorate due to varying propagation path qualities and interference
Solution Approach 1:
The patent performs preliminary measurement of propagation path quality and resource availability before terminal installation or communication start. The base station measures reference signals from terminals at different locations and calculates resource block availability in advance, allowing prediction of communication stability before actual deployment completes.
Solution Approach 2:
The system implements feedback mechanisms where terminals report measured propagation path quality (RSRP, RSRQ, SINR) back to the base station. The base station uses this feedback to dynamically adjust resource allocation and predict communication stability for different terminal placements and timing scenarios.
2Reliability
If resource allocation is dynamically adjusted based on propagation path quality, then communication stability is improved, but system complexity increases due to multiple measurement and calculation requirements
Solution Approach 1:
The base station autonomously performs measurement of reference signals, calculation of propagation path quality metrics (RSRP, RSRQ, SINR), and determination of resource block availability without requiring external intervention. The system self-manages the complexity of dynamic resource allocation based on real-time measurements.
Solution Approach 2:
The patent changes physical parameters such as terminal position, coupling timing, and resource block allocation dynamically. By adjusting these parameters based on measured propagation conditions, the system optimizes communication stability while managing complexity through standardized measurement and calculation procedures.
3Measurement precision
If measurement and prediction functions are added to base station apparatus, then communication stability assessment capability is improved, but manufacturing cost and device complexity increase
Solution Approach 1:
The base station apparatus performs multiple functions including reference signal transmission, propagation path quality measurement (RSRP, RSRQ, SINR), resource block availability calculation, and communication stability prediction using a single integrated system. This multi-functionality avoids the need for separate dedicated measurement devices, reducing overall system cost while maintaining measurement precision.
4Reliability
If terminal positions and coupling timing are optimized for stable communication, then communication reliability is improved, but flexibility in terminal deployment and application timing is reduced
Solution Approach 1:
The patent implements dynamic resource block allocation that adapts to different terminal positions and coupling timings. The base station calculates available resource blocks based on current propagation conditions and terminal location, allowing the system to maintain communication reliability while adapting to various deployment scenarios and timing requirements.
Data Source
AI summary
It is provided a communication system comprising: an access system including a base station wirelessly receives information from a terminal, and an edge apparatus; a user data system including a mobile core apparatus configured to receive via the edge apparatus a signal transmitted from the base station; and a monitoring system including a packet analysis apparatus analyzes traffic used by the terminal from the user data copied by the edge apparatus, a wireless quality calculation unit calculates a wireless quality between the base station and the terminal, and a visualization unit visualizes a usage situation of a wireless resource based on calculation using information collected from the packet analysis apparatus, the mobile core apparatus, and the wireless quality calculation module, the visualization unit outputs data for displaying the usage situation of the wireless resource from an arrangement of the terminal, the calculated wireless quality, and the analyzed traffic.