Price-Based Spectrum Management in Cognitive Radio Networks

By Fan Wang, Marwan Krunz, Shuguang Cui. IEEE Journal on Selected Topics in Signal Processing, 2007

359 citations recorded by the source corpus.

How researchers see this paper

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Cognitive radio networking and communications: an overview (2011, background): “Operating the SUs in a self-organizing (typically ad hoc) network has been considered to adaptively and efficiently allocate transmission powers and spectrum among the CR users according to ambient surroundings without disturbing the PUs [203].”
Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems (2013, neutral): “V for the complex case.”
Game theory for cognitive radio networks: An overview (2010, methodology): “In [25], the authors further point out that most existing pricing techniques, e.g., a linear pricing function with a ﬁxed pricing factor for all users, can usually improve the equilibrium by pushing it closer to the Pareto optimal frontier.”
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking (2021, background): “In addition, game-theoretic approaches have attracted a lot of attention to resolve the resource allocation problem [322], [323].”
Multi-Cell MIMO Cooperative Networks: A New Look at Interference (2010, background): “This idea is called interference pricing, which has been proposed for the power spectrum adaptation problem for the wireless ad-hoc network [86], [87], [88], [89], the digital subscriber line network [90], and is also applicable to wireless multi-cell networks [78], [82].”