BLMA: A Blind Matching Algorithm with Application to Cognitive Radio Networks
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AbstractWe consider a two-sided one-to-one abstract matching problem with a defined notion of pairwise stability. The formulated problem is shown to encompass the ordinal and cardinal utility markets. We propose a distributed blind matching algorithm (BLMA) to solve the problem. BLMA is characterized by random activations of agents, and by generic negotiation and aspiration (utility) update processes. We prove the solution produced by BLMA will converge to an <formula> <img src=
CitationHamza D, Shamma JS (2017) BLMA: A Blind Matching Algorithm with Application to Cognitive Radio Networks. IEEE Journal on Selected Areas in Communications: 1–1. Available: http://dx.doi.org/10.1109/JSAC.2017.2659098.
SponsorsThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST).