In this paper, we present a scheduling policy, sequential maximal tree scheduling that attains | of the maximum throughput region in tree-graphs under primary interference constraints. The computation time of the policy varies as the square of the logarithm of the network size. Our results are a significant improvement over previous results which can attain only 1/2 of the maximum throughput region, even for graphs that have a simple path topology, in similar computation time.
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