Impact of Geographical Separation on Spectrum Sharing Markets

Kangle Mu, Zongyun Xie, Igor Kadota, Randall Berry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the increasing demand for wireless services, spectrum management agencies and service providers (SPs) are seeking more flexible mechanisms for spectrum sharing to accommodate this growth. Such mechanisms impact the market dynamics of competitive SPs. Prior market models of spectrum sharing largely focus on scenarios where competing SPs had identical coverage areas. We depart from this and consider a scenario in which two competing SPs have overlapping but distinct coverage areas. We study the resulting competition using a Cournot model. Our findings reveal that with limited shared bandwidth, SPs might avoid overlapping areas to pre-vent potential losses due to interference. Sometimes SPs can strategically cooperate by agreeing not to provide service in the overlapping areas and, surprisingly, customers might also benefit from such cooperation under certain circumstances. Overall, market outcomes exhibit complex behaviors that are influenced by the sizes of coverage areas and the bandwidth of the shared spectrum.

Original languageEnglish (US)
Title of host publication2024 22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages233-240
Number of pages8
ISBN (Electronic)9783903176652
StatePublished - 2024
Event22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2024 - Seoul, Korea, Republic of
Duration: Oct 21 2024Oct 24 2024

Publication series

NameProceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt
ISSN (Print)2690-3334
ISSN (Electronic)2690-3342

Conference

Conference22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period10/21/2410/24/24

Funding

This work was supported in part by the National Science Foundation (NSF) SII-Center: SpectrumX An NSF Spectrum Innovation Center Grant 2132700 and by NSF grants CNS-2148183 and SES-2332054.

Keywords

  • dynamic spectrum as-signment
  • market modeling
  • spectrum management

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Control and Optimization
  • Modeling and Simulation

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