Stochastic modeling of Wireless Networks: A case study in time domain

In wireless communication networks, interference produced by simultaneous transmission of the undesired transmitters and useful signal sources is one of the central aspects in system designs, since it dominantly limits network performance. We sampled data from a centrally controlled IEEE 802.11agn wireless sensor network established at the main campus of the University of Debrecen consisting of 54 non-mobile access points communicating in 29 active channels. After a reasonable and practical transformation the captured channel noise level is analyzed both as random variables and as time series by statistical methods for several fixed channels and access points.