SCALE: A Low-Complexity Distributed Protocol for Spectrum Balancing in Multiuser DSL Networks

By John Papandriopoulos, Jamie S. Evans. IEEE Transactions on Information Theory, 2009

397 citations recorded by the source corpus.

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Fractional Programming for Communication Systems—Part I: Power Control and Beamforming (2018, methodology): “In contrast, SCALE and direct FP both require solving a convex problem in each iteration.”
Learning to Optimize: Training Deep Neural Networks for Interference Management (2017, methodology): “To obtain a good solution for problem (1), many transceiver design algorithms developed in the literature, such as WMMSE [2], SCALE [3], and the pricing algorithm [4].”
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems (2013, background): “We conclude this review by mentioning the recent work [34], where the authors, developing ideas contained in [30], [33], proposed parallel schemes based of the SCA idea that are applicable (only) to the class of sum-utility problems for which a connection with a MMSE formulation can be established.”
Learning to optimize: Training deep neural networks for wireless resource management (2017, background): “…for such purposes include those developed for power control (e.g., iterative water-ﬁlling type algorithms [3], [4], interference pricing [5], SCALE [6]), transmit/receive beamformer design (e.g., the WMMSE algorithm [7], pricing-based schemes [8], semideﬁnite relaxation based schemes [9]),…”