IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v41y2017i5p379-390.html
   My bibliography  Save this article

Open access wireless markets

Author

Listed:
  • Cramton, Peter
  • Doyle, Linda

Abstract

This paper describes an open access market for capacity. Open access means that in real-time, network capacity cannot be withheld—capacity is priced dynamically by the marginal demand during congestion. The paper offers the open access market as a means for managing growing spectrum demand and as an alternative to naked spectrum sharing. The paper describes the parameters of the open access market showing that it can be implemented using today's technology and without significant regulatory change. The paper discusses how the open access market can eliminate barriers at the service level, allowing any number of service providers to compete in response to market drivers. The paper emphasises that the spatial and temporal granularity at which capacity can be purchased, allows for smaller entities to acquire resources, which is important for new entrants testing the water and those with non-standard business plans. The paper also shows how the open access market can provide a path to achieve greater sharing and efficient trade in the future.

Suggested Citation

  • Cramton, Peter & Doyle, Linda, 2017. "Open access wireless markets," Telecommunications Policy, Elsevier, vol. 41(5), pages 379-390.
    • Handle: RePEc:eee:telpol:v:41:y:2017:i:5:p:379-390
    DOI: 10.1016/j.telpol.2017.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596117300071
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.telpol.2017.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Noam, Eli, 1998. "Spectrum Auctions: Yesterday's Heresy, Today's Orthodoxy, Tomorrow's Anachronism. Taking the Next Step to Open Spectrum Access," Journal of Law and Economics, University of Chicago Press, vol. 41(2), pages 765-790, October.
    2. Mackie-Mason, J.K. & Varian, H.R., 1993. "Pricing the Internet," Memorandum 1993_020, Oslo University, Department of Economics.
    3. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521536721.
    4. Gençay, Ramazan & Dacorogna, Michel & Muller, Ulrich A. & Pictet, Olivier & Olsen, Richard, 2001. "An Introduction to High-Frequency Finance," Elsevier Monographs, Elsevier, edition 1, number 9780122796715.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barunik, Jozef & Vacha, Lukas, 2010. "Monte Carlo-based tail exponent estimator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4863-4874.
    2. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach," Finance Research Letters, Elsevier, vol. 26(C), pages 32-39.
    3. Laurent Lamy, 2013. "“Upping the ante”: how to design efficient auctions with entry?," RAND Journal of Economics, RAND Corporation, vol. 44(2), pages 194-214, June.
    4. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press, vol. 33(4), pages 541-571.
    5. Sabrina Camargo & Silvio M. Duarte Queiros & Celia Anteneodo, 2013. "Bridging stylized facts in finance and data non-stationarities," Papers 1302.3197, arXiv.org, revised May 2013.
    6. Lallouache, Mehdi & Abergel, Frédéric, 2014. "Tick size reduction and price clustering in a FX order book," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 488-498.
    7. Aviral Tiwari & Niyati Bhanja & Arif Dar & Faridul Islam, 2015. "Time–frequency relationship between share prices and exchange rates in India: Evidence from continuous wavelets," Empirical Economics, Springer, vol. 48(2), pages 699-714, March.
    8. Amadou Boly & Robert Gillanders & Topi Miettinen, 2016. "Deterrence, peer effect, and legitimacy in anti-corruption policy-making: An experimental analysis," WIDER Working Paper Series 137, World Institute for Development Economic Research (UNU-WIDER).
    9. Dufour, Jean-Marie & García, René & Taamouti, Abderrahim, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de Economía.
    10. Jeremy Bulow & Jonathan Levin & Paul Milgrom, 2009. "Winning Play in Spectrum Auctions," NBER Working Papers 14765, National Bureau of Economic Research, Inc.
    11. Brunner, Christoph & Hu, Audrey & Oechssler, Jörg, 2014. "Premium auctions and risk preferences: An experimental study," Games and Economic Behavior, Elsevier, vol. 87(C), pages 467-484.
    12. Frank Kelly & Peter Key & Neil Walton, 2016. "Efficient Advert Assignment," Operations Research, INFORMS, vol. 64(4), pages 822-837, August.
    13. Sylvain Mignot & Stéphanie Saba & Annick Vignes, 2016. "To trust or to bid: an empirical analysis of social relationships on a fish market," Working Papers halshs-01298872, HAL.
    14. Lamprirni Zarpala & Dimitris Voliotis, 2022. "A core-selecting auction for portfolio's packages," Papers 2206.11516, arXiv.org, revised Feb 2024.
    15. Michael Padilla & Benjamin Van Roy, 2012. "Intermediated Blind Portfolio Auctions," Management Science, INFORMS, vol. 58(9), pages 1747-1760, September.
    16. Yokote, Koji, 2021. "Consistency of the doctor-optimal equilibrium price vector in job-matching markets," Journal of Economic Theory, Elsevier, vol. 197(C).
    17. Loertscher, Simon & Mezzetti, Claudio, 2021. "A dominant strategy, double clock auction with estimation-based tatonnement," Theoretical Economics, Econometric Society, vol. 16(3), July.
    18. Bence Toth & Janos Kertesz, 2009. "The Epps effect revisited," Quantitative Finance, Taylor & Francis Journals, vol. 9(7), pages 793-802.
    19. Narine Badasyan & Subhadip Chakrabarti, 2003. "Private Peering Among Internet Backbone Providers," Industrial Organization 0301002, University Library of Munich, Germany, revised 20 Jan 2003.
    20. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "How does trading volume affect financial return distributions?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 190-206.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:telpol:v:41:y:2017:i:5:p:379-390. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.