Binary Power Control for Sum Rate Maximization over Multiple Interfering Links

By A. Gjendemsjø, David Gesbert, Geir Egil Øien, S. G. Kiani. IEEE Transactions on Wireless Communications, 2008

312 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks (2008, background): “In the special case of two interfering links, a simple on/off power control strategy was shown to be optimal [7].”
Multi-Cell MIMO Cooperative Networks: A New Look at Interference (2010, background): “The resource allocation problem in the multi-cell setting has been studied extensively in the literature [17], [74], [75], [76], [77], [78], [79].”
Coordinated Scheduling and Power Allocation in Downlink Multicell OFDMA Networks (2009, methodology): “For example, we can leverage the iterative strategy proposed in [18], which has a complexity O(|S|M2), or we can adopt the threshold-based approach suggested in [39], which has a complexity O(|S|M).”
Learning to optimize: Training deep neural networks for wireless resource management (2017, methodology): “we also use DNN to learn a greedy binary power control algorithm (Greedy) [29].”
Team Deep Neural Networks for Interference Channels (2018, background): “(11) Binary forms of power control were shown to be rate optimal in the case of 2-user IC with perfect CSI at all TXs and near optimal with more users [7].”