On protocol and physical interference models in Poisson wireless networks
Jeffrey Wildman, Steven Weber

TL;DR
This paper investigates the relationship between protocol and physical interference models in Poisson wireless networks using stochastic geometry, providing insights into their correlation, estimation accuracy, and effects of fading and multiple observations.
Contribution
It introduces a comprehensive analysis connecting protocol and physical models, including correlation, Bayesian risk, ROC, and effects of fading and multiple observations.
Findings
Maximum correlation between models quantified.
Bayesian risk for estimating physical success from protocol data.
Fading reduces correlation and improves ROC performance.
Abstract
This paper analyzes the connection between the protocol and physical interference models in the setting of Poisson wireless networks. A transmission is successful under the protocol model if there are no interferers within a parameterized guard zone around the receiver, while a transmission is successful under the physical model if the signal to interference plus noise ratio (SINR) at the receiver is above a threshold. The parameterized protocol model forms a family of decision rules for predicting the success or failure of the same transmission attempt under the physical model. For Poisson wireless networks, we employ stochastic geometry to determine the prior, evidence, and posterior distributions associated with this estimation problem. With this in hand, we proceed to develop five sets of results: i) the maximum correlation of protocol and physical model success indicators, ii) the…
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