  In this paper, a novel spatially non-stationary channel model is proposed for
link-level computer simulations of massive multiple-input multiple-output
(mMIMO) with extremely large aperture array (ELAA). The proposed channel model
allows a mix of non-line-of-sight (NLoS) and LoS links between a user and
service antennas. The NLoS/LoS state of each link is characterized by a binary
random variable, which obeys a correlated Bernoulli distribution. The
correlation is described in the form of an exponentially decaying window. In
addition, the proposed model incorporates shadowing effects which are
non-identical for NLoS and LoS states. It is demonstrated, through computer
emulation, that the proposed model can capture almost all spatially
non-stationary fading behaviors of the ELAA-mMIMO channel. Moreover, it has a
low implementational complexity. With the proposed channel model, Monte-Carlo
simulations are carried out to evaluate the channel capacity of ELAA-mMIMO. It
is shown that the ELAA-mMIMO channel capacity has considerably different
stochastic characteristics from the conventional mMIMO due to the presence of
channel spatial non-stationarity.
