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Automating spectrum sharing: A bottom-up approach and research agenda

Author

Listed:
  • Lehr, William
  • Berry, Randall
  • Kadota, Igor
  • Caicedo Bastidas, Carlos E.
  • Mu, Kangle
  • Xie, Zongyun
  • Tamim, Irfan

Abstract

Future G networks will require more dynamic, agile support for the management of radio spectrum on a fine-grained basis. The radio access network (RAN) technologies necessary to enable Dynamic Spectrum Access (DSA) have progressed significantly over the past 20 years, but the challenges of realizing the potential for DSA requires the co-evolution of technologies, business models, and regulatory policy. This paper presents a multidisciplinary research effort to develop the building blocks needed to advance DSA. In particular, we focus on the use of standards-based Spectrum Consumption Models (SCMs) and review on-going research to incorporate SCMs in an automated management framework based on incentive-compatible, technically-sound spectrum access contracts referred to as Spectrum Access Agreements (SAAs). This paper introduces the core concepts of the SCM/SAA framework, project goals, and preliminary insights into how the framework can help improve spectrum management. The research on SCM/SAA represents a bottom-up effort to develop the techno-economic building blocks or tools to facilitate market-based experimentation and development of DSA based spectrum sharing markets, business models, and applications.

Suggested Citation

  • Lehr, William & Berry, Randall & Kadota, Igor & Caicedo Bastidas, Carlos E. & Mu, Kangle & Xie, Zongyun & Tamim, Irfan, 2025. "Automating spectrum sharing: A bottom-up approach and research agenda," Telecommunications Policy, Elsevier, vol. 49(5).
    • Handle: RePEc:eee:telpol:v:49:y:2025:i:5:s0308596125000345
    DOI: 10.1016/j.telpol.2025.102937
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    References listed on IDEAS

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    1. Matheson, Robert & Morris, Adele C., 2012. "The technical basis for spectrum rights: Policies to enhance market efficiency," Telecommunications Policy, Elsevier, vol. 36(9), pages 783-792.
    2. Thành Nguyen & Hang Zhou & Randall A. Berry & Michael L. Honig & Rakesh Vohra, 2016. "The Cost of Free Spectrum," Operations Research, INFORMS, vol. 64(6), pages 1217-1229, December.
    3. Kangle Mu & Zongyun Xie & Igor Kadota & Randall Berry, 2024. "Impact of Geographical Separation on Spectrum Sharing Markets," Papers 2407.20909, arXiv.org.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • L5 - Industrial Organization - - Regulation and Industrial Policy
    • K2 - Law and Economics - - Regulation and Business Law
    • K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • P14 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Property Rights
    • Q29 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Other
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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