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Complexity of Allocation Problems in Spectrum Markets with Interference Complementarities

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4 Author(s)
Hang Zhou ; Department of Electrical Engineering and Computer Science at Northwestern University ; Randall Berry ; Michael L. Honig ; Rakesh Vohra

Markets are often viewed as a key ingredient in facilitating more efficient dynamic spectrum access. In this paper we consider how such spectrum markets are influenced by a key property of the wireless medium: interference. Interference can result in "complementarities" among the "spectrum goods" being traded, which complicates the design of an efficient market mechanism. We consider several alternative models for defining such spectrum goods, and explore the impact of these choices on the complexity of the resulting market.

Published in:

IEEE Journal on Selected Areas in Communications  (Volume:31 ,  Issue: 3 )