Wireless Market Competition with Time/Frequency Prioritized Spectrum Sharing

Spectrum sharing plays an important role in meeting the demand for the 6 G and advanced wireless communications. This paper considers a framework of time-frequency prioritized spectrum sharing, in which a given band of spectrum is shared both in time and frequency with certain service providers (SPs) having priority access to given time-frequency partitions and other partitions available for use by all SPs. We investigate the competition between the two SPs in such a setting under both Bertrand and Cournot competition models, where SPs compete by either announcing prices or quantities, respectively. We calculate a market equilibrium for both competition models and analyze the impact of the available bandwidth and the spectrum sharing parameters on the revenues of the SPs, the customer surplus, and the social welfare.

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Published
2025-05-26
DOI
https://doi.org/10.23919/wiopt66569.2025.11123287
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
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article

Wireless Market Competition with Time/Frequency Prioritized Spectrum Sharing

Randall Berry, Qixuan Zai, Yaxuan Liu
Cognitive Radio Networks and Spectrum Sensing
article

Wireless Market Competition with Time/Frequency Prioritized Spectrum Sharing

Randall Berry, Qixuan Zai, Yaxuan Liu
article en

Abstract

Spectrum sharing plays an important role in meeting the demand for the 6 G and advanced wireless communications. This paper considers a framework of time-frequency prioritized spectrum sharing, in which a given band of spectrum is shared both in time and frequency with certain service providers (SPs) having priority access to given time-frequency partitions and other partitions available for use by all SPs. We investigate the competition between the two SPs in such a setting under both Bertrand and Cournot competition models, where SPs compete by either announcing prices or quantities, respectively. We calculate a market equilibrium for both competition models and analyze the impact of the available bandwidth and the spectrum sharing parameters on the revenues of the SPs, the customer surplus, and the social welfare.

Northwestern University (US)
Openalex Percentile: Top 75%
Cognitive Radio Networks and Spectrum Sensing
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Wireless Market Competition with Time/Frequency Prioritized Spectrum Sharing — Randall Berry, Qixuan Zai, et al. · (2025) | TGRS Research Map | TGRS