  The assumption that no LoS channels exist between wireless access
points~(APs) and user equipments~(UEs) becomes questionable in the context of
the recent developments in the direction of cell free massive multiple input
multiple output MIMO~(CF-mMIMO) systems. In CF-mMIMO systems, the access point
density is assumed to be comparable to, or much larger than the the user
density, thereby leading to the possibility of existence of LoS links between
the UEs and the APs, depending on the local propagation conditions. In this
paper, we compare the rates achievable by CF-mMIMO systems under probabilistic
LoS/ NLos channels, with and without acquiring the channel state
information~(CSI) of the fast fading components. We show that, under
sufficiently large AP densities, statistical beamforming that does not require
the knowledge about the fast fading components of the channels, performs almost
at par with full beamforming, utilizing the information about the fast fading
channel coefficients, thus potentially avoiding the need for training during
every frame. We validate our results via detailed Monte Carlo simulations, and
also elaborate the conditions under which statistical beamforming can be
successfully employed in massive MIMO systems with LoS/ NLoS channels.
