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A Package Bidding Tool for the Fcc’S Spectrum Auctions, and its Effect on Auction Outcomes

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Telecommunications Modeling, Policy, and Technology

Abstract

We present a bidder aid tool that allows bidders to more effectively participate in combinatorial FCC spectrum auctions by enabling concise expression of preferences. In addition to logical relationships between items, bidders may express spectrum-specific preferences such as those related to minimum population coverage, bandwidth, and budget. The tool can be used to simultaneously generate and evaluate a set of most profitable biddable packages, both at the start of the auction and dynamically before each round. We also explore the effect of creating “best-fit” packages at each round. Our preliminary results show that the use of this tool may significantly simplify bidders’ efforts in generating packages of interest and lead to efficient auction outcomes.

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References

  • An, N. Elmaghraby, W. and Keskinocak,P, Bidding Strategies and their Impact on Revenues in Combinatorial Auctions, Journal of Revenue & Pricing Management 3, 337–357 (2005).

    Article  Google Scholar 

  • Ausubel, L, E-mail communication (2002).

    Google Scholar 

  • Ausubel, L.M., and Cramton, P., Demand Reduction and Inefficiency in Multi-Unit Auctions, Working paper, Department of Economics, University of Maryland. (1998).

    Google Scholar 

  • Ausubel, L.M. and Cramton, P., Auctioning Many Divisible Goods Journal of the European Economic Association, 2, 480-493 (2004).

    Article  Google Scholar 

  • Ausubel, L.M. and Milgrom, P. Ascending Auctions with Package Bidding, Frontiers of Theoretical Economics, 1, 1-45 (2002).

    MathSciNet  Google Scholar 

  • Banks, J.S., Ledyard, J.O., and Porter, D., Allocating Uncertain and Unresponsive Resources: An Experimental Approach, The Rand Journal of Economics, 20(1), 1- 25 (1989).

    Article  Google Scholar 

  • Boutilier, C., Solving Concisely Expressed Combinatorial Auction Problems, Proceedings of the 18 th National Conference on Artificial Intelligence (AAAI-02), pp. 359-366 (2002).

    Google Scholar 

  • Boutilier, C., and Hoos, H.,H., Bidding Languages for Combinatorial Auctions, Proceedings of the 7th International Joint Conference on Artificial Intelligence, pp. 1211-1217, (2001).

    Google Scholar 

  • Bykowsky, M.M., Cull, R.J., and Ledyard, J.O., Mutually Destructive Bidding: The FCC Auction Design Problem, Journal of Regulatory Economics, 17(3), 205-228 (2000).

    Article  Google Scholar 

  • Conen, W., and Sandholm, T, Minimal Preference Elicitation in Combinatorial Auctions, Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, Workshop on Economic Agents, Models, and Mechanisms, 71-80, (2001).

    Google Scholar 

  • Cramton, P., Money Out of Thin Air: The Nationwide Narrowband PCS Auction, Journal of Economics and Management Strategy, 4, 267-343 (1995).

    Article  Google Scholar 

  • Cramton, P., The FCC Spectrum Auctions: An Early Assessment, Journal of Economics and Management Strategy,.6(3), 431-495, (1997).

    Article  Google Scholar 

  • Cramton, P., Interview at the University of Maryland, 2002a.

    Google Scholar 

  • Cramton, P., Spectrum Auctions, in Handbook of Telecommunications Economics, Cave. M., Majumdar, S., and Vogelsang, I., Eds., Amsterdam: Elsevier Science B.V., Chapter 14, 605-639 (2002b).

    Google Scholar 

  • Cramton, P., E-mail communication, 2003.

    Google Scholar 

  • Cramton, P., Shoham, Y., and Steinberg, R., Introduction to Combinatorial Auctions, in Combinatorial Auctions, edited by Peter Cramton, Yoav Shoham, and Richard Steinberg , MIT Press (2005).

    Google Scholar 

  • Csirik, J.A., Littman, M.L., Singh, S., and Stone, P., FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents, In Electronic Commerce: Proceedings of the Second International Workshopedited by Fiege, L., Mühl, G., and Wilhelm, U, 139-151, Springer Verlag, Heidelberg, Germany, (2001).

    Google Scholar 

  • DeMartini, C., Kwasnica, A.M., Ledyard, J.O., and Porter, D., A New and Improved Design for Multi-Object Iterative Auctions, Technical report, California Institute of Technology, (1998).

    Google Scholar 

  • Dunford, M., Hoffman, K., Menon, D., Sultana, R., and Wilson, T., Testing Linear Pricing Algorithms for use in Ascending Combinatorial Auctions, working paper, George Mason University, Department of Systems Engineering and Operations Research, (2004).

    Google Scholar 

  • FCC Public Notice, DA 03-1994, Auction of Regional Narrowband PCS Licenses Scheduled for September 24, 2003; Notice and Filing Requirements, Minimum Opening Bids, Upfront Payments, Package Bidding and Other Auction Procedures,”http://wireless.fcc.gov/auctions/default.htm?job=release&id=53&y=2 003, (2003).

    Google Scholar 

  • Goeree, J.K., and Holt, C.A., Comparing the FCC’s Combinatorial and Non-Combinatorial Simultaneous Multiple Round Auctions: Experimental Design Report, http://hraunfoss.fcc.gov/edocs_public/attachmatch/DA-05-1267A2.pdf, (2005).

    Google Scholar 

  • Günlük, O., Ladànyi, L., and De Vries, S., A Branch-and-Price Algorithm and New Test Problems for Spectrum Auctions, Management Science 51(3) 391-406 (2005)

    Article  Google Scholar 

  • Hudson, B., and Sandholm, T. Effectiveness of Preference Elicitation in Combinatorial Auctions, AAMAS-02 Workshop on Agent-Mediated Electronic Commerce (AMEC), Italy, (2002).

    Google Scholar 

  • Jones, J.L., and Koehler, G.J., Combinatorial Auctions using Rule-based Bids, Decision Support Systems, Vol. 34(1), pp. 59-74, (2002).

    Article  Google Scholar 

  • Kwon, R.H., Anandalingam, G., and Ungar, L.H., Iterative Combinatorial Auctions with Bidder-Determined Combinations,” Management Science, 51(3), 407-418, (2005).

    Article  Google Scholar 

  • Leyton-Brown, K., Pearson, M., and Shoham, Y., Towards a Universal Test Suite for Combinatorial Auction Algorithms, Proceedings of the ACM Conference on Electronic Commerce (EC-00),66-76, (2000).

    Google Scholar 

  • McMillan, J., Selling Spectrum Rights, Journal of Economic Perspectives, 8, pp. 145-162, (1994).

    Google Scholar 

  • Nisan, N., Bidding and Allocation in Combinatorial Auctions, presented at the ACM Conference on Electronic Commerce, (2000).

    Google Scholar 

  • Parkes, D.C., iBundle: An Efficient Ascending Price Bundle Auction, Proceedings of the ACM Conference on Electronic Commerce (EC-99), (1999).

    Google Scholar 

  • Parkes, D.C., Cavallo, R., Elprin, N., Juda, A., Lahaie, S., Lubin, B., Michael, L., Shneidman, J., and Sultan, H., “ICE” An Iterative Combinatorial Exchange, Proceedings of the 6 th ACM conference on Electronic Commerce, 249 – 258, (2005).

    Google Scholar 

  • Parkes, D.C., and Ungar, L. H., Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment, Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-00), 82-89, (2000).

    Google Scholar 

  • Porter, D., Rassenti, S., and Smith, V., Combinatorial Auction Design, Proceedings of the National Academy of Sciences, 100(19) 11153-11157, (2003).

    Article  MATH  MathSciNet  Google Scholar 

  • Reitsma, P.S.A., Stone, P., Csirik, J.A., and Littman, M.L., Self-enforcing Strategic Demand Reduction, Agent Mediated Electronic Commerce IV: Designing Mechanisms and Systems, Lecture Notes in Artificial Intelligence, 289–306, Springer Verlag, (2002).

    Google Scholar 

  • Rothkopf, M.H., Pekec, A., and Harstad, R.M., Computationally Manageable Combinational Auctions, Management Science, 44(8), 1131-1147, (1998).

    Article  MATH  Google Scholar 

  • Tarnutzer, B., Interview at the Federal Communications Commission, 2002.

    Google Scholar 

  • Wilkie, S., Interview at the Federal Communications Commission, 2002.

    Google Scholar 

  • Wurman, P.R., and Wellman, M.P., AkBA: A Progressive, Anonymous-Price Combinatorial Auction, In Proceedings of the ACM Conference on Electronic Commerce (ACM-EC), 21- 29, (2000).

    Google Scholar 

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Hoffman, K., Menon, D., Heever, S.A.v. (2008). A Package Bidding Tool for the Fcc’S Spectrum Auctions, and its Effect on Auction Outcomes. In: Raghavan, S., Golden, B., Wasil, E. (eds) Telecommunications Modeling, Policy, and Technology. Operations Research/Computer Science Interfaces, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77780-1_8

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  • DOI: https://doi.org/10.1007/978-0-387-77780-1_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-77779-5

  • Online ISBN: 978-0-387-77780-1

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