An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks
In wireless networks, the optimization problems generally have complex constraints and are usually solved via utilizing the traditional optimization methods that have high computational complexity and need to be executed repeatedly with the change of network environments. In this paper, to overcome...
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Veröffentlicht in: | IEEE transactions on wireless communications 2022-10, Vol.21 (10), p.8552-8564 |
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Sprache: | eng |
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