Communication Band Calculation Using Transition Probability Matrix
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Solution Overview
Problem
Current techniques fail to accurately predict user distribution of traffic amounts in future planning target times, making it difficult to calculate the required communication band for maintaining quality of communication services.
Innovation Solution
A communication band calculation device and method that acquires user-based traffic information, sets a state space for user distribution, generates a transition probability matrix, and uses this matrix to predict user distribution at a future time, thereby calculating the necessary communication band facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional traffic prediction techniques are used, then calculation of communication band requirements becomes simpler, but prediction accuracy of user distribution in future planning target time deteriorates
Solution Approach 1:
The patent segments the user base into multiple groups based on traffic amount characteristics (e.g., low, medium, high traffic users). By dividing users into distinct segments and analyzing transition probabilities between segments, the system achieves more accurate predictions of future user distribution while maintaining manageable calculation complexity through structured categorization.
Solution Approach 2:
The patent transforms the prediction problem by changing parameters from direct traffic amount forecasting to transition probability analysis between user groups. This parameter transformation enables accurate prediction of future user distribution patterns while simplifying the computational approach through probabilistic modeling of user behavior transitions.
2Manufacturing precision
If accurate prediction of user distribution is achieved, then communication band calculation becomes more precise, but the complexity of prediction model increases
Solution Approach 1:
By segmenting users into discrete groups based on traffic characteristics, the patent creates a structured framework that improves band calculation precision through targeted analysis of each segment's future distribution, while avoiding the complexity of continuous modeling approaches.
Solution Approach 2:
The patent incorporates feedback mechanisms by analyzing historical transition data between user groups and using this information to refine future predictions. This feedback loop enables precise band calculation by continuously improving the accuracy of user distribution forecasts based on observed behavioral patterns.
Data Source
AI summary
A communication band calculation device includes a memory; and a processor configured to execute acquiring user-based traffic information; defining non-overlapping separate section columns having any section width as a state space and sets a user distribution of a traffic amount according to the state space based on the traffic information; generating a transition probability matrix in which a transition probability that a transition from a separate section to another in the state space occurs is set as an element based on the traffic information; obtaining prediction of the user distribution at a desired future time using a product of the user distribution which is a starting point of prediction and the transition probability matrix; and calculating an amount of band facilities required to achieve quality of a communication service at a future point in time based on the user distribution in future.