Communication Cell Congestion Estimation Using Physical Presence Data
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Solution Overview
Problem
Existing communication systems struggle to accurately estimate congestion states in communication cells due to the limitations of monitoring communication traffic, which does not account for non-communicating individuals or objects, and the lack of accessibility to communication traffic from different carriers.
Innovation Solution
A communication control apparatus and method that integrates a communication congestion detector, a congestion measurer, and a congestion state estimator to combine 'communication' and 'non-communication' perspectives, utilizing communication radio waves, sensors, and AI/ML to estimate congestion states comprehensively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If communication traffic monitoring is performed individually by each communication carrier, then communication congestion detection is achieved, but actual congestion state of persons or objects cannot be accurately represented
Solution Approach 1:
The patent combines communication perspective data (from multiple carriers) and non-communication perspective data (sensor data, GPS data) into a unified congestion estimation system. The congestion state estimator integrates these diverse data sources to produce a comprehensive congestion state assessment that accurately reflects the actual situation in the communication cell.
Solution Approach 2:
The system uses a unified congestion state estimator that handles multiple types of input data (communication traffic from different carriers, sensor data, GPS data) and produces a single comprehensive congestion state output. This multi-functional approach allows the system to estimate congestion for various purposes including emergency services, traffic management, and commercial applications.
2Measurement precision
If communication traffic monitoring is used, then communication congestion is detected, but persons or objects not communicating cannot be monitored
Solution Approach 1:
The patent introduces sensor data and GPS data as intermediary information sources that indirectly reveal the presence and state of persons or objects in the communication cell. These intermediary data sources allow the system to detect entities that are not actively communicating, thereby improving the accuracy of congestion state estimation.
Solution Approach 2:
The system uses feedback from multiple data sources (communication traffic, sensor data, GPS data) to continuously refine the congestion state estimation. The congestion state estimator processes this feedback information to update its assessment of the actual congestion state, ensuring accurate monitoring of both communicating and non-communicating entities.
3Measurement precision
If only communication perspective data is used, then communication congestion is measured, but actual physical congestion state is not reflected
Solution Approach 1:
The patent merges communication perspective data (traffic volume, signal strength) with non-communication perspective data (sensor readings, GPS coordinates) in the congestion state estimator. This combination allows the system to correlate communication metrics with physical presence indicators, producing an accurate representation of the actual congestion state in the communication cell.
Solution Approach 2:
The system creates a composite information structure by integrating multiple types of data (communication data, sensor data, GPS data) into a unified congestion state assessment. This composite approach allows the system to leverage the strengths of each data source while compensating for their individual limitations, achieving accurate congestion estimation.
Data Source
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AI summary
A communication control apparatus includes at least one processor that performs: by a communication congestion detector, detecting congestion state of communications in a communication cell; by a congestion measurer, measuring congestion state of at least one of persons and objects in the communication cell; and by a congestion state estimator, estimating congestion state in the communication cell, based on the congestion state of communications detected by the communication congestion detector and the congestion state of at least one of the persons and the objects measured by the congestion measurer.