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We consider multiple-antenna (MIMO) multiplexing (multi-stream) systems in a spatial Aloha network under quality of service (QoS) constraints. The active transmitters form a bipolar Poisson point process with given density, each with its own communicating receiver. The QoS requirement is specified in terms of the asymptotic decay rate of the buffer occupancy, characterizing the statistical queuing constraint. Assuming open-loop zero-forcing beamforming (ZFBF) at the receiver, we therefore evaluate the effective capacity (EC), which is the throughput metric subject to a given queuing delay requirement. Due to Nakagami-type fading per data stream as well as the SIR correlation among data streams of each communication link- stemmed from the common location of transmitters across data streams-the evaluation of EC is, however, substantially complex, and has not yet considered in the related literature. We in this paper provide a number of approximations that formulate EC as a function of multiplexing gain, the number of antennas, QoS requirement, density of transmitters, and path- loss exponent. Approximations are numerically friendly, and their accuracy are corroborated against simulations. It is seen that for given QoS requirement, there is a multiplexing gain that optimizes EC. We further observe that for less stringent delay requirement, large multiplexing gain is preferable, while by increasing delay exponent it is advocated to shift the operating point toward the single-stream communication.