Communication Throughput Estimation via Probability Density Functions

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Solution Overview

Problem

Existing communication throughput prediction devices struggle to estimate communication throughput with high accuracy due to rapid changes caused by factors like cross traffic and radio wave intensity in TCP/IP communication, leading to inaccurate predictions.

Innovation Solution

A parameter estimation device that acquires communication throughput and estimates function specification parameters for a probability density function to predict future communication throughput, using methods like drift calculation and variance analysis to model communication throughput as a random variable, assuming processes such as Brownian motion or geometric Brownian motion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If test data transmission method is used to measure communication throughput, then measurement process is simple, but estimation accuracy becomes low due to rapid changes in communication throughput

Engineering Contradiction:

Improvecommunication throughput estimation accuracyVSAvoidtime for throughput measurement

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary measurements of communication throughput at multiple time points before the actual data transmission. These preliminary measurements establish a baseline understanding of throughput variability and are used to calculate statistical parameters (mean, standard deviation) that predict future throughput without requiring additional measurement time during critical operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention replaces the mechanical approach of direct throughput measurement during data transmission with a mathematical modeling approach. By substituting physical measurement with statistical calculation based on probability density functions, the system achieves higher accuracy without the time cost of repeated measurements.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If communication throughput is modeled as deterministic value, then calculation is simple, but prediction accuracy deteriorates due to random variations in throughput

Engineering Contradiction:

Improvethroughput prediction accuracyVSAvoidmodeling complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system transforms the deterministic throughput model into a probabilistic model by introducing statistical parameters (mean throughput, standard deviation). This parameter change allows the model to capture random variations in communication throughput while maintaining mathematical tractability through the use of probability density functions and statistical calculations.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The invention introduces probability density functions as an intermediary between the observed throughput data and the prediction task. This intermediary layer allows the system to handle randomness and uncertainty in a systematic way, bridging the gap between simple deterministic calculations and complex stochastic processes.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentEP2731302B1Parameter estimating device, parameter estimating method, and parameter estimating program

Publication Date: 2016.08.10 NEC CORP

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AI summary

A parameter estimation device 600 includes: a communication throughput acquiring part 601 for acquiring communication throughput that is an amount of data transmitted per unit time; and a function specification parameter estimating part 602 for estimating a function specification parameter for specifying a probability density function where communication throughput at a second time point later than a first time point is a random variable, based on the communication throughput acquired by the first time point.