  This paper analyses the performance of filter bank multicarrier (FBMC)
signaling in conjunction with offset quadrature amplitude modulation (OQAM) in
multi-user (MU) massive multiple-input multiple-output (MIMO) systems.
Initially, closed form expressions are derived for tight lower bounds
corresponding to the achievable uplink sum-rates for FBMC-based single-cell MU
massive MIMO systems relying on maximum ratio combining (MRC), zero forcing
(ZF) and minimum mean square error (MMSE) receiver processing with/without
perfect channel state information (CSI) at the base station (BS). This is
achieved by exploiting the statistical properties of the intrinsic interference
that is characteristic of FBMC systems. Analytical results are also developed
for power scaling in the uplink of MU massive MIMO-FBMC systems. The above
analysis of the achievable sum-rates and corresponding power scaling laws is
subsequently extended to multi-cell scenarios considering both perfect as well
as imperfect CSI, and the effect of pilot contamination. The
delay-spread-induced performance erosion imposed on the linear processing aided
BS receiver is numerically quantified by simulations. Numerical results are
presented to demonstrate the close match between our analysis and simulations,
and to illustrate and compare the performance of FBMC and traditional
orthogonal frequency division multiplexing (OFDM)-based MU massive MIMO
systems.
