Discrete stochastic optimization based parameter estimation for modeling partially observed WLAN spectrum activity
Ioannis Glaropoulos, Viktória Fodor · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2012
Modeling and parameter estimation of spectrum usage in the ISM band would allow the competing networking technologies to adjust their medium access control accordingly, leading to the more efficient use of the shared spectrum. Tn this paper we address the problem of WLAN spectrum activity model parameter estimation. We propose a solution based on discrete stochastic optimization, that allows accurate spectrum activity modeling and can be implemented even in wireless sensor nodes with limited computational and energy resources.