  Due to the continuous advancements of orthogonal frequency division
multiplexing (OFDM) and multiple antenna techniques, multiuser multiple input
multiple output (MU-MIMO) OFDM is a key enabler of both fourth and fifth
generation networks. In this paper, we consider the problem of weighted
sum-rate maximization under latency constraints in finite buffer multicell
MU-MIMO OFDM systems. Unlike previous works, the optimization variables include
the transceiver beamforming vectors, the scheduled packet size and the
resources in the frequency and power domains. This problem is motivated by the
observation that multicell MU-MIMO OFDM systems serve multiple quality of
service classes and the system performance depends critically on both the
transceiver design and the scheduling algorithm. Since this problem is
non-convex, we resort to the max-plus queuing method and successive convex
approximation. We propose both centralized and decentralized solutions, in
which practical design aspects, such as signaling overhead, are considered.
Finally, we compare the proposed framework with state-of-the-art algorithms in
relevant scenarios, assuming a realistic channel model with space, frequency
and time correlations. Numerical results indicate that our design provides
significant gains over designs based on the wide-spread saturated buffers
assumption, while also outperforming algorithms that consider a finite-buffer
model.
