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Operations Research Enables Auction to Repurpose Television Spectrum for Next-Generation Wireless Technologies

Author

Listed:
  • Jean L. Kiddoo

    (Federal Communications Commission, Washington, District of Columbia 20554)

  • Evan Kwerel

    (Federal Communications Commission, Washington, District of Columbia 20554)

  • Sasha Javid

    (Hogan Lovells US LLP, Washington, District of Columbia 20004)

  • Melissa Dunford

    (Federal Communications Commission, Washington, District of Columbia 20554)

  • Gary M. Epstein

    (Federal Communications Commission, Washington, District of Columbia 20554)

  • Charles E. Meisch,Jr.

    (SKDKnickerbocker, Washington, District of Columbia 20036)

  • Karla L. Hoffman

    (George Mason University, Fairfax, Virginia 22030)

  • Brian B. Smith

    (NCI Information Systems, Inc., Reston, Virginia 20190)

  • Anthony B. Coudert

    (NCI Information Systems, Inc., Reston, Virginia 20190)

  • Rudy K. Sultana

    (NCI Information Systems, Inc., Reston, Virginia 20190)

  • James A. Costa

    (Grubhub, Chicago, Illinois 60602)

  • Steven Charbonneau

    (Incentive Technology Group, Arlington, Virginia 22202)

  • Michael Trick

    (Carnegie Mellon University, Qatar, Doha, Qatar)

  • Ilya Segal

    (Auctionomics Inc, Palo Alto, California 94301; Stanford University, Stanford, California 94305)

  • Kevin Leyton-Brown

    (Stanford University, Stanford, California 94305; University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada)

  • Neil Newman

    (Stanford University, Stanford, California 94305; University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada)

  • Alexandre Fréchette

    (University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada)

  • Dinesh Menon

    (Marriott International, Bethesda, Maryland 20817)

  • Paul Salasznyk

    (Emprata, LLC, Clifton, Virginia 20140)

Abstract

In 2017, the U.S. Federal Communications Commission completed the world’s first two-sided spectrum auction, reclaiming radio frequency spectrum from television broadcasters to meet exploding demand for mobile broadband, 5G, and other wireless services. Operations research—including a customized series of optimization models, decompositions, cuts, heuristics, large neighborhood searches, and a portfolio of propositional satisfiability solvers whose parameters were determined by machine learning—was essential to the design and implementation of the auction. The auction repurposed 84 megahertz of spectrum and generated gross revenue of nearly $20 billion, providing more than $10 billion in capital for the broadcast television industry and over $7 billion for federal deficit reduction.

Suggested Citation

  • Jean L. Kiddoo & Evan Kwerel & Sasha Javid & Melissa Dunford & Gary M. Epstein & Charles E. Meisch,Jr. & Karla L. Hoffman & Brian B. Smith & Anthony B. Coudert & Rudy K. Sultana & James A. Costa & Ste, 2019. "Operations Research Enables Auction to Repurpose Television Spectrum for Next-Generation Wireless Technologies," Interfaces, INFORMS, vol. 49(1), pages 7-22, January.
    • Handle: RePEc:inm:orinte:v:49:y:2019:i:1:p:7-22
    DOI: 10.1287/inte.2018.0972
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    Citations

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    Cited by:

    1. Michael F. Gorman, 2021. "Contextual Complications in Analytical Modeling: When the Problem is Not the Problem," Interfaces, INFORMS, vol. 51(4), pages 245-261, July.
    2. Bo Li & Subodha Kumar, 2022. "Managing Software‐as‐a‐Service: Pricing and operations," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2588-2608, June.
    3. Kevin Leyton-Brown & Paul Milgrom & Neil Newman & Ilya Segal, 2023. "Artificial Intelligence and Market Design: Lessons Learned from Radio Spectrum Reallocation," NBER Chapters, in: New Directions in Market Design, National Bureau of Economic Research, Inc.

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