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Real-time secondary markets for spectrum

Author

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  • Peha, Jon M.
  • Panichpapiboon, Sooksan

Abstract

Spectrum licensing enables quality of service guarantees, but often leads to inefficient use of spectrum. Unlicensed spectrum promotes efficiency through sharing, but quality of service cannot be guaranteed, which is a serious problem for some applications. Such applications may be better served by a real-time secondary market, where secondary users ask the license-holder for temporary access to spectrum as needed. Access is granted when and only when quality of service requirements can be met for both license-holder and secondary users. This paper quantitatively assesses real-time secondary markets for the special case of a cellular license-holder. It demonstrates that many secondary users can access spectrum with little impact on the primary cellular customers, and that cellular carriers profit even if the price for secondary access is quite low. Finally, it addresses the challenges of transferring funds from secondary user to license-holder.

Suggested Citation

  • Peha, Jon M. & Panichpapiboon, Sooksan, 0. "Real-time secondary markets for spectrum," Telecommunications Policy, Elsevier, vol. 28(7-8), pages 603-618, August.
    • Handle: RePEc:eee:telpol:v:28:y::i:7-8:p:603-618
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    Citations

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    Cited by:

    1. Jain, Rekha, 2019. "Lessons from India on the Role of Institutions in Spectrum Trading," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth 201758, International Telecommunications Society (ITS).
    2. Cui, Liu & Weiss, Martin B.H. & Morel, Benoit & Tipper, David, 2017. "Risk and decision analysis of dynamic spectrum access," Telecommunications Policy, Elsevier, vol. 41(5), pages 405-421.
    3. Mayo, John W. & Wallsten, Scott, 2010. "Enabling efficient wireless communications: The role of secondary spectrum markets," Information Economics and Policy, Elsevier, vol. 22(1), pages 61-72, March.
    4. Peha, Jon M., 2013. "Spectrum sharing in the gray space," Telecommunications Policy, Elsevier, vol. 37(2), pages 167-177.
    5. Juraj Gazda & Viliam Kováč & Peter Tóth & Peter Drotár & Vladimír Gazda, 2017. "Tax optimization in an agent-based model of real-time spectrum secondary market," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(3), pages 543-558, March.
    6. Weiss, Martin B.H. & Altamimi, Mohammed & Cui, Liu, 2012. "Spatio-temporal spectrum modeling: Taxonomy and economic evaluation of context acquisition," Telecommunications Policy, Elsevier, vol. 36(4), pages 335-348.

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