iscussion on why FBMC is a better choice in these applications is provided in [7]. Here, we emphasize on the class of massive (multiuser) multiple-input multiple-output (MIMO) communication systems. Massive MIMO, in essence, is a multiuser technique, somewhat similar to code division multiple access (CDMA). In its simplest form, each mobile terminal (MT) has a single antenna, but the BS has a large number of antennas. The spreading code for each user is then the vector of channel gains between the respective MT antenna and the multiple anten- nas at the BS. Accordingly, by increasing the number of antennas at the BS, the processing gain of each user can be increased to an arbitrarily large value. In the pioneering work of Marzetta [34] it is noted that, in the limit, as the number of BS antennas tends to infinity, the processing gain of the system tends to infinity and, as a result, the effects of both noise and multiuser interference (MUI) are completely removed. Therefore, the network capac- ity (in theory) can be increased unboundedly by increasing the number of antennas at the BS [34]. Motivated by Marzetta's observations [34], multiple research groups in the recent past have studied a variety of implementation issues related to massive MIMO systems. An assumption made by Marzetta [34] and followed by other researchers is that OFDM may be used to convert the frequency-selective channels between each MT and the multiple anten- nas at the BS to a set of flat fading channels. Accordingly, the flat gains associated with the set of channels within each subcarrier constitute the spreading gain vector that is used for dispreading of the respective data in upstream, as well as for precoding of the respective downstream data. References In a recent work [35] embarking on the above concepts, we have introduced the appli- cation of FBMC to the area of massive MIMO communications. The interesting finding in this work is that unlike in conventional MIMO where applicability of FBMC (CMT and SMT, in particular) is found lim