IDEAS home Printed from https://ideas.repec.org/p/zbw/itse18/184932.html
   My bibliography  Save this paper

Spectrum management for 5G: assignment methods for spectrum sharing

Author

Listed:
  • Beltrán, Fernando
  • Massaro, Maria

Abstract

The current development of fifth generation of mobile communications technology, known as 5G, has triggered intense discussions about proper spectrum assignment procedures to accommodate 5G spectrum needs (LStelcom et al., 2017). In particular, spectrum scarcity and lengthy processes to remove and relocate low-intensity uses have led to a renewed interest in spectrum sharing (PCAST, 2012). Since access to radio spectrum for the provision of commercial mobile communications services, mostly cellular telephony and wireless broadband access, is generally granted by means of exclusive usage rights, a growing stream of research is recognising efficiency gains of allowing spectrum to be shared, questioning the primacy of exclusive access to spectrum (Beltran, 2017). Against this background, this paper aims to discuss recent international attempts to introduce some forms of spectrum sharing for the assignment of spectrum rights for the fourth generation (4G) of mobile communications technology, in the light of current challenges posed by the fifth generation (5G). Recently, three cases have called or are calling for the award of rights to the shared use of the spectrum. These cases reveal the rationales supporting National Regulatory Authorities' (NRAs) decisions that led or will lead to the assignment of shared spectrum rights. Furthermore, they also reveal specific assignment methods – either proposed or not fully deployed, which this paper uses for its main contribution. The three cases considered for the analysis are: the 800 MHz and 2.6 GHz bands auction planned by the UK regulator in 2013; the Licensed Shared Access (LSA) approach defined by the European Union (EU); and the 3.5 GHz ecosystem developed in the United States (US). Using an analytical framework for the identification of the adequate spectrum management approach, this paper undertakes a comparison of the abovementioned three cases to draw lessons applicable to the upcoming 5G services.

Suggested Citation

  • Beltrán, Fernando & Massaro, Maria, 2018. "Spectrum management for 5G: assignment methods for spectrum sharing," 29th European Regional ITS Conference, Trento 2018 184932, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itse18:184932
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/184932/1/Beltran-Massaro.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Cramton, 2013. "Spectrum Auction Design," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 42(2), pages 161-190, March.
    2. Peter Cramton & Evan Kwerel & Gregory Rosston & Andrzej Skrzypacz, 2011. "Using Spectrum Auctions to Enhance Competition in Wireless Services," Journal of Law and Economics, University of Chicago Press, vol. 54(S4), pages 167-188.
    3. Lawrence M. Ausubel & Oleg Baranov, 2017. "A Practical Guide to the Combinatorial Clock Auction," Economic Journal, Royal Economic Society, vol. 127(605), pages 334-350, October.
    4. Gary Madden & Erik Bohlin & Paitoon Kraipornsak & Thien Tran, 2014. "The determinants of prices in the FCC's 700 MHz spectrum auction," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 1953-1960, June.
    5. Freyens, Benoît, 2009. "A policy spectrum for spectrum economics," Information Economics and Policy, Elsevier, vol. 21(2), pages 128-144, June.
    6. Massaro, Maria, 2017. "Next generation of radio spectrum management: Licensed shared access for 5G," Telecommunications Policy, Elsevier, vol. 41(5), pages 422-433.
    7. Bichler, Martin & Goeree, Jacob K., 2017. "Frontiers in spectrum auction design," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 372-391.
    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. Massaro, Maria & Beltrán, Fernando, 2020. "Will 5G lead to more spectrum sharing? Discussing recent developments of the LSA and the CBRS spectrum sharing frameworks," Telecommunications Policy, Elsevier, vol. 44(7).
    2. Mochon, Asuncion & Saez, Yago, 2017. "A review of radio spectrum combinatorial clock auctions," Telecommunications Policy, Elsevier, vol. 41(5), pages 303-324.
    3. Daglish, Toby & Sağlam, Yiğit & Ho, Phuong, 2017. "Auctioning the Digital Dividend: A model for spectrum auctions," International Journal of Industrial Organization, Elsevier, vol. 53(C), pages 63-98.
    4. Kazumori, Eiichiro & Belch, Yaakov, 2019. "t-Tree: The Tokyo toolbox for large-scale combinatorial auction experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    5. Jain, Rekha & Dara, Rishabh, 2017. "Framework for evolving spectrum management regimes: Lessons from India," Telecommunications Policy, Elsevier, vol. 41(5), pages 473-485.
    6. Ryuji Sano, 2018. "An equilibrium analysis of a core-selecting package auction with reserve prices," Review of Economic Design, Springer;Society for Economic Design, vol. 22(3), pages 101-122, December.
    7. Gary Madden & Erik Bohlin & Paitoon Kraipornsak & Thien Tran, 2014. "The determinants of prices in the FCC's 700 MHz spectrum auction," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 1953-1960, June.
    8. Lawrence M. Ausubel & Oleg Baranov, 2020. "Core-selecting auctions with incomplete information," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(1), pages 251-273, March.
    9. Stojadinović, Nikola & Bošković, Branislav & Trifunović, Dejan & Janković, Slađana, 2019. "Train path congestion management: Using hybrid auctions for decentralized railway capacity allocation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 123-139.
    10. 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.
    11. Grønnevet, Gorm A. & Hansen, Bjørn & Reme, Bjørn-Atle, 2016. "Spectrum policy and competition in mobile data," Information Economics and Policy, Elsevier, vol. 37(C), pages 34-41.
    12. Shimaa A. Abdel Hakeem & Anar A. Hady & HyungWon Kim, 2020. "Current and future developments to improve 5G-NewRadio performance in vehicle-to-everything communications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 75(3), pages 331-353, November.
    13. Philippe Jehiel & Laurent Lamy, 2020. "On the Benefits of Set-Asides," Journal of the European Economic Association, European Economic Association, vol. 18(4), pages 1655-1696.
    14. Massaro, Maria & Pogorel, Gérard, 2015. "Next generation of radio spectrum management licensed shared access and the trade-off between static and dynamic efficiency," 2015 Regional ITS Conference, Los Angeles 2015 146322, International Telecommunications Society (ITS).
    15. Aytek Erdil & Paul Klemperer, 2010. "A New Payment Rule for Core-Selecting Package Auctions," Journal of the European Economic Association, MIT Press, vol. 8(2-3), pages 537-547, 04-05.
    16. Gary Madden & Erik Bohlin & Thien Tran & Aaron Morey, 2014. "Spectrum Licensing, Policy Instruments and Market Entry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(3), pages 277-298, May.
    17. Benoît Pierre Freyens & Chris Jones, 2014. "Efficient Allocation of Radio Spectrum," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 16(1), pages 1-23, February.
    18. Oughton, Edward J. & Lehr, William & Katsaros, Konstantinos & Selinis, Ioannis & Bubley, Dean & Kusuma, Julius, 2021. "Revisiting Wireless Internet Connectivity: 5G vs Wi-Fi 6," Telecommunications Policy, Elsevier, vol. 45(5).
    19. Marsden, Richard & Ihle, Hans-Martin, 2018. "Mechanisms to incentivise shared-use of spectrum," Telecommunications Policy, Elsevier, vol. 42(4), pages 315-322.
    20. Andor Goetzendorff & Martin Bichler & Pasha Shabalin & Robert W. Day, 2015. "Compact Bid Languages and Core Pricing in Large Multi-item Auctions," Management Science, INFORMS, vol. 61(7), pages 1684-1703, July.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:itse18:184932. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.itseurope.org/ .

    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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itseurope.org/ .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.