A channel allocation protocol for strategy manipulation and economic impact assessment in cognitive radio-based internet of things network

In the heterogeneous cognitive radio-based internet of things network, mobile virtual network operator (MVNO) faces the challenge of strategy manipulation by users. Under this condition, ensuring MVNO economic benefits is a critical practical issue. To address this issue, a channel allocation protocol based on the Top - trading cycles algorithm is proposed, ensuring fairness in the spectrum distribution process. Additionally, an economic impact assessment framework is designed to analyze the effects of strategy manipulation on economic benefits. Simulation results show that the proposed method improves spectrum utilization by 7%.

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Published
2025-02-21
DOI
https://doi.org/10.1145/3732365.3732435
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
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article

A channel allocation protocol for strategy manipulation and economic impact assessment in cognitive radio-based internet of things network

Shi Wang, XU Xiao-hui
Cognitive Radio Networks and Spectrum Sensing
article

A channel allocation protocol for strategy manipulation and economic impact assessment in cognitive radio-based internet of things network

Shi Wang, XU Xiao-hui
article en

Abstract

In the heterogeneous cognitive radio-based internet of things network, mobile virtual network operator (MVNO) faces the challenge of strategy manipulation by users. Under this condition, ensuring MVNO economic benefits is a critical practical issue. To address this issue, a channel allocation protocol based on the Top - trading cycles algorithm is proposed, ensuring fairness in the spectrum distribution process. Additionally, an economic impact assessment framework is designed to analyze the effects of strategy manipulation on economic benefits. Simulation results show that the proposed method improves spectrum utilization by 7%.

Liaoning Technical University (CN)
Openalex Percentile: Top 84%
Cognitive Radio Networks and Spectrum Sensing
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