Prioritizing Signaling Information Transmission in Next Generation Networks

Table 5

Regression model for analyzing IPLR for SIP signaling flows.

IPLR^a		Regression model	Parameters				𝑟^2b	𝑟^c	𝑝^d
			𝑏0	𝑏1	𝑏2	𝑏3
Experiment 1	Scenario 1	𝑌=𝑏0+𝑏1𝑡+𝑏2𝑡^2+𝑏3𝑡^3	−0.3573	−0.0251	−0.0004	−1.73×10^−6	0.6858	0.8281	<0.05
	Scenario 2	𝑌=𝑏0+𝑏1𝑡+𝑏2𝑡^2+𝑏3𝑡^3	0.1538	−0.0094	0.0001	−2.25×10^−7	0.8369	0.9148	<0.05
	Scenario 3	—	—	—	—	—	—	—	—
	Scenario 4	—	—	—	—	—	—	—	—
Experiment 2	Scenario 1	𝑌=𝑏0+𝑏1𝑡+𝑏2𝑡^2+𝑏3𝑡^3	0.1734	−0.0110	0.0002	−4.58×10^−7	0.9485	0.9739	<0.05
	Scenario 2	𝑌=𝑏0+𝑏1𝑡+𝑏2𝑡^2+𝑏3𝑡^3	0.1807	−0.0144	0.0003	−8.38×10^−7	0.9673	0.9836	<0.05
	Scenario 3	𝑌=𝑏0+𝑏1𝑡+𝑏2𝑡^2+𝑏3𝑡^3	0.3318	−0.0176	0.0002	−6.01×10^−7	0.8643	0.9296	<0.05
	Scenario 4	—	—	—	—	—	—	—	—
Experiment 3	Scenario 1	𝑌=𝑏0+𝑏1𝑡+𝑏2𝑡^2+𝑏3𝑡^3	−0.5489	0.0370	−0.0005	2.71×10^−6	0.8847	0.9405	<0.05
	Scenario 2	𝑌=𝑏0+𝑏1𝑡+𝑏2𝑡^2+𝑏3𝑡^3	−1.2363	0.0881	−0.0015	−8.04×10^−6	0.9682	0.9839	<0.05
	Scenario 3	—	—	—	—	—	—	—	—
	Scenario 4	—	—	—	—	—	—	—	—

^aIPLR: IP packet loss ratio; ^b𝑟²: determination coefficient; ^c𝑟: correlation coefficient; ^d𝑝: significance.