Abstract
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 none 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 ELAAmMIMO.
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.