We study distributed queue-aware beamforming in a multiple input single output (MISO) interference channel. Instead of assuming full buffer traffic, we adopt a more realistic traffic model where the data arrival rates are finite, and the beamformers are adaptive to the data in the buffer. We propose a simple dynamic beamforming strategy which significantly improves the average sum rate compared to non-adaptive beamformers.
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