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In this paper, a novel spatially non-stationary fading channel model isproposed for multiple-input multiple-output (MIMO) system with extremely-largeaperture service-array (ELAA). The proposed model incorporates three keyfactors which cause the channel spatial non-stationarity: 1) link-wisepath-loss; 2) shadowing effect; 3) line-of-sight (LoS)/non-LoS state. Withappropriate parameter configurations, the proposed model can be used togenerate computer-simulated channel data that matches the published measurementdata from practical ELAA-MIMO channels. Given such appealing results, theproposed fading channel model is employed to study the cumulative distributionfunction (CDF) of ELAA-MIMO channel capacity. For all of our studied scenarios,it is unveiled that the ELAA-MIMO channel capacity obeys the skew-normaldistribution. Moreover, the channel capacity is also found close to theGaussian or Weibull distribution, depending on users' geo-location anddistribution. More specifically, for single-user equivalent scenarios ormultiuser scenarios with short user-to-ELAA distances (e.g., 1 m), the channelcapacity is close to the Gaussian distribution; and for others, it is close tothe Weibull distribution. Finally, the proposed channel model is also employedto study the impact of channel spatial non-stationarity on linear MIMOreceivers through computer simulations. The proposed fading channel model isavailable at https://github.com/ELAA-MIMO/non-stationary-fading-channel-model.

A Spatially Non-stationary Fading Channel Model for Simulation and (Semi-) Analytical Study of ELAA-MIMO