This work considers the performance of the downlink channel of MIMO cellular networks serving multiple users with different statistical QoS requirements. The paper proposes resource allocation algorithms that aim to optimize the system performance over the sum of the optimal user utility functions by employing the effective capacity theory. Proportionally fair resource allocation among the users is performed via two different approaches and solutions, namely, the Frame Allocation Algorithm (FAA), which involves dynamic time allocation for transmit beamforming, and the Power Allocation Algorithm (PAA), which provides optimal power control for space division multiple access. In FAA, each user is assigned a distinct slot of optimal length, based on the instantaneous channel conditions of the active users in each frame; while in PAA, resource allocation is performed via power assignment by taking into account the long-term averages of the channel conditions across all users. The efficacy of the proposed algorithms are demonstrated via numerical experiments considering realistic channel models and various QoS settings.

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