  Massive multiple-input multiple-output (mMIMO) technology is considered a key
enabler for the 5G and future wireless networks. In most wireless communication
systems, mMIMO is employed together with orthogonal frequency-division
multiplexing (OFDM) which exhibits a high peak-to-average-power ratio (PAPR).
While passing the OFDM signal through one of the common RF front-ends of
limited linearity, significant distortion of the transmitted signal can be
expected. In mMIMO systems, this problem is still relevant as in some channels
the distortion component is beamformed in the same directions as the desired
signal. In this work, we propose a multi-antenna clipping noise cancellation
(MCNC) algorithm for the downlink of the mMIMO OFDM system. Computer
simulations show it can remove nonlinear distortion even under severe
nonlinearity. Next, a simplified version of the algorithm is proposed. It was
observed that for the direct visibility channels, its performance is only
slightly degraded with respect to the MCNC algorithm.
