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The impact of spectrum policies on the secondary spectrum market: A system dynamics approach


  • Song, Hee Seok
  • Kim, Taewan
  • Kim, Taehan


There has been a growing significance for Dynamic Spectrum Access (DSA) technology as a method to relieve the spectrum shortage problem and improve the efficiency of spectrum usage. For DSA technology to provide social and economic benefits, however, the dynamics of the secondary spectrum market must also co-evolve with the technology. Using the system dynamics (SD) methodology, we developed a secondary spectrum market model. The objective of this model is to integrate the SD approach, scenario and simulation analysis into a holistic dynamic consideration of the secondary spectrum market. Drawing on the model, we examined how the secondary spectrum market could evolve in the future and investigated how spectrum policies could influence spectrum utilization in the secondary spectrum market.

Suggested Citation

  • Song, Hee Seok & Kim, Taewan & Kim, Taehan, 2017. "The impact of spectrum policies on the secondary spectrum market: A system dynamics approach," Telecommunications Policy, Elsevier, vol. 41(5), pages 460-472.
  • Handle: RePEc:eee:telpol:v:41:y:2017:i:5:p:460-472
    DOI: 10.1016/j.telpol.2017.04.004

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    References listed on IDEAS

    1. 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.
    2. Arturo Basaure & Varadharajan Sridhar & Heikki Hämmäinen, 2016. "Adoption of dynamic spectrum access technologies: a system dynamics approach," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(2), pages 169-190, October.
    3. Sridhar, Varadharajan & Casey, Thomas & Hämmäinen, Heikki, 2013. "Flexible spectrum management for mobile broadband services: How does it vary across advanced and emerging markets?," Telecommunications Policy, Elsevier, vol. 37(2), pages 178-191.
    4. Lee, Ting-Lin & von Tunzelmann, Nick, 2005. "A dynamic analytic approach to national innovation systems: The IC industry in Taiwan," Research Policy, Elsevier, vol. 34(4), pages 425-440, May.
    5. Pagani, Margherita & Fine, Charles H., 2008. "Value network dynamics in 3G-4G wireless communications: A systems thinking approach to strategic value assessment," Journal of Business Research, Elsevier, vol. 61(11), pages 1102-1112, November.
    6. Barrie, Matthias & Delaere, Simon & Anker, Peter & Ballon, Pieter, 2012. "Aligning technology, business and regulatory scenarios for cognitive radio," Telecommunications Policy, Elsevier, vol. 36(7), pages 546-559.
    7. Casey, Thomas R. & Töyli, Juuso, 2012. "Mobile voice diffusion and service competition: A system dynamic analysis of regulatory policy," Telecommunications Policy, Elsevier, vol. 36(3), pages 162-174.
    8. Basaure, Arturo & Marianov, Vladimir & Paredes, Ricardo, 2015. "Implications of dynamic spectrum management for regulation," Telecommunications Policy, Elsevier, vol. 39(7), pages 563-579.
    9. Thomas CASEY, 2009. "Analysis of Radio Spectrum Market Evolution Possibilities," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(75), pages 109-132, 3rd quart.
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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).


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