Transparent Gif

Department of Computer Science

University of California, Santa Barbara

Abstract

Tackling Bidder Collusion in Dynamic Spectrum Auctions (Extended)

by: Xia Zhou, Alessandra Sala, and Haitao Zheng

Abstract:

Dynamic spectrum auction is an effective solution to manage spectrum across many small networks. As the number of participants grows, collusion poses a serious threat to auction performance. Small groups of colluding bidders can make use of the interference constraints to manipulate auction outcomes, leading to unfair spectrum distribution and significant loss in auction revenue. Prior designs, however, are either forced to give up spatial reuse for collusion-resistance, become computationally prohibitive, or can only address very limited types of collusion. In this paper, we present DC2, a systematic auction design that can effectively discourage collusion and achieve spatial reuse, even when multiple collusion groups are present. DC2 achieves this using a novel 3-stage “Divide, Conquer, and Combine” procedure that integrates an efficient spectrum allocation algorithm with a powerful collusion-resistant mechanism design. More importantly, DC2 can configure the level of collusionresistance and maximize auction revenue for any given level. Auctioneers can now configure auctions based on their own preferences and deployment environments. We analytically prove DC2’s collusion-resistance and its revenue bound, and perform extensive network simulations to verify DC2’s effectiveness. We show that it is particularly effective against small-size collusion, the most commonly observed in practical auctions.

Keywords:

None

Date:

Aug 2009

Document: 2009-13

XHTML Validation | CSS Validation
Updated 14-Nov-2005
Questions should be directed to: webmaster@cs.ucsb.edu