Partner selection in indoor-to-outdoor cooperative networks: an experimental study
Paolo Castiglione, Stefano Savazzi, Monica Nicoli, Thomas Zemen

TL;DR
This study presents a novel partner selection protocol for indoor-to-outdoor cooperative wireless networks that significantly extends network lifetime by using real-time fading parameter estimation and a Bayesian approach, validated through real measurements.
Contribution
It introduces a Bayesian-based partner selection protocol leveraging a stochastic model of fading parameters, improving network lifetime without requiring full channel knowledge.
Findings
Infrequent K-factor estimation can double network lifetime.
The Bayesian estimator performs nearly as well as full channel knowledge.
The protocol is compatible with IEEE 802.15.4 networks.
Abstract
In this paper, we develop a partner selection protocol for enhancing the network lifetime in cooperative wireless networks. The case-study is the cooperative relayed transmission from fixed indoor nodes to a common outdoor access point. A stochastic bivariate model for the spatial distribution of the fading parameters that govern the link performance, namely the Rician K-factor and the path-loss, is proposed and validated by means of real channel measurements. The partner selection protocol is based on the real-time estimation of a function of these fading parameters, i.e., the coding gain. To reduce the complexity of the link quality assessment, a Bayesian approach is proposed that uses the site-specific bivariate model as a-priori information for the coding gain estimation. This link quality estimator allows network lifetime gains almost as if all K-factor values were known.…
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