On capturing spatio-temporal factors in cognitive network channel selection

Joshal Daftari Bheemarjuna Reddy Tamma BS Manoj Ramesh Rao
Abstract: In this paper, we present an application of probabilistic graphical models such as Bayesian Networks (BNs) for capturing the spatio-temporal factors in cognitive networks. We propose to use a BN that makes use of historical network information to learn the network behavior across spatio-temporal-spectral dimensions and predicts best configuration for each Access Point (AP) in a Wireless LAN (WLAN) system. We further present the application of BNs for traffic prediction as well as channel selection in a cognitive WLAN ...