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Due to the continuous advancements of orthogonal frequency divisionmultiplexing (OFDM) and multiple antenna techniques, multiuser multiple inputmultiple output (MU-MIMO) OFDM is a key enabler of both fourth and fifthgeneration networks. In this paper, we consider the problem of weightedsum-rate maximization under latency constraints in finite buffer multicellMU-MIMO OFDM systems. Unlike previous works, the optimization variables includethe transceiver beamforming vectors, the scheduled packet size and theresources in the frequency and power domains. This problem is motivated by theobservation that multicell MU-MIMO OFDM systems serve multiple quality ofservice classes and the system performance depends critically on both thetransceiver design and the scheduling algorithm. Since this problem isnon-convex, we resort to the max-plus queuing method and successive convexapproximation. We propose both centralized and decentralized solutions, inwhich practical design aspects, such as signaling overhead, are considered.Finally, we compare the proposed framework with state-of-the-art algorithms inrelevant scenarios, assuming a realistic channel model with space, frequencyand time correlations. Numerical results indicate that our design providessignificant gains over designs based on the wide-spread saturated buffersassumption, while also outperforming algorithms that consider a finite-buffermodel.

Joint Resource Allocation and Transceiver Design for Sum-Rate Maximization under Latency Constraints in Multicell MU-MIMO Systems