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Summary: A General Framework for Wireless Spectrum
Auctions
Sorabh Gandhi, Chiranjeeb Buragohain*, Lili Cao, Haitao Zheng, Subhash Suri
Department of Computer Science
University of California, Santa Barbara, CA 93106 U.S.A
* Amazon.com, Seattle, WA 98106 U.S.A
Abstract-- We propose a real-time spectrum auction frame-
work to distribute spectrum among a large number wireless users
under interference constraints. Our approach achieves conflict-
free spectrum allocations that maximize auction revenue and
spectrum utilization. Our design includes a compact and yet
highly expressive bidding language, various pricing models to
control tradeoffs between revenue and fairness, and fast auction
clearing algorithms to compute revenue-maximizing prices and
allocations. Both analytical and experimental results verify the
efficiency of the proposed approach. We conclude that bidding
behaviors and pricing models have significant impact on auction
outcomes. A spectrum auction system must consider local de-
mand and spectrum availability in order to maximize revenue
and utilization.
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