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1. Decolonizing Dynamic Spectrum Sharing

   Blackwater, D; Murtazashvili, I; Gifford, KK (August 2024, SSRN)

   Spectrum sharing, including dynamic spectrum sharing, is arguably the most significant overarching feature of the new era of spectrum management. The emphasis on sharing spectrum recognizes the importance of balancing the needs of different users of an exceptionally valuable resource. Despite the equitable features of spectrum sharing, what has been underemphasized in spectrum management is its colonial features from the perspective of Native Nations. This paper proposes ways to decolonize dynamic spectrum sharing and, in the process, improve prospects for a new spectrum era that recognizes Native Nations as collaborators in the American system of spectrum management. 

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2. Crowdsourcing-based Spectrum Monitoring at A Large Geographical Scale

   https://doi.org/10.1109/DySPAN.2019.8935832  

   Lin, Yousi; Ye, Yuxian; Yang, Yaling (November 2019, 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN))

   Spectrum monitoring is a powerful tool in dynamic spectrum access to help secondary users access the unused spectrum white space. The common approach for spectrum monitoring is to build infrastructures (e.g. spectrum observatories), which cost much money and manpower but have relatively low coverage. To aid in this, we propose a crowdsourcing based spectrum monitoring system for a large geographical area that leverages the power of masses of portable mobile devices. The system can accurately predict future spectrum utilization and intelligently schedule the spectrum monitoring tasks among mobile secondary users accordingly, so that the energy of mobile devices can be saved and more spectrum activities can be monitored. We also demonstrate our system's ability to capture not only the existing spectrum access patterns but also the unknown patterns where no historical spectrum information exist. The experiment shows that our spectrum monitoring system can obtain a high spectrum monitoring coverage and low energy consumption. 

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3. Differentially-Private Incentive Mechanism for Crowdsourced Radio Environment Map Construction

   https://doi.org/10.1109/INFOCOM.2019.8737512  

   Hu, Yidan; Zhang, Rui (April 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications)

   Database-driven Dynamic Spectrum Sharing (DSS) is a promising technical paradigm for enhancing spectrum efficiency by allowing secondary user to opportunistically access licenced spectrum channels without interfering with primary users' transmissions. In database-driven DSS, a geo-location database administrator (DBA) maintains the spectrum availability in its service region in the form of a radio environment map (REM) and grant or deny secondary users' spectrum access requests based on primary users' activities. Crowdsourcing-based spectrum sensing has great potential in improving the accuracy of the REM at the DBA but requires strong incentives and privacy protection to simulate mobile users' participation. To tackle this challenge, this paper introduces a novel differentially-private reverse auction mechanism for crowdsourcing-based spectrum sensing. The proposed mechanism allows the DBA to select spectrum sensing participants under a budget constraint while offering differential bid privacy, approximate truthfulness, and approximate accuracy maximization. Extensive simulation studies using a real spectrum measurement dataset confirm the efficacy and efficiency of the proposed mechanism. 

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4. Differentially-Private Incentive Mechanism for Crowdsourced Radio Environment Map Construction

   Hu, Yidan; Zhang, Rui (April 2019, IEEE International Conference on Computer Communications)

   Database-driven Dynamic Spectrum Sharing (DSS) is a promising technical paradigm for enhancing spectrum efficiency by allowing secondary user to opportunistically access licenced spectrum channels without interfering with primary users' transmissions. In database-driven DSS, a geo-location database administrator (DBA) maintains the spectrum availability in its service region in the form of a radio environment map (REM) and grant or deny secondary users' spectrum access requests based on primary users' activities. Crowdsourcing-based spectrum sensing has great potential in improving the accuracy of the REM at the DBA but requires strong incentives and privacy protection to simulate mobile users' participation. To tackle this challenge, this paper introduces a novel differentially-private reverse auction mechanism for crowdsourcing-based spectrum sensing. The proposed mechanism allows the DBA to select spectrum sensing participants under a budget constraint while offering differential bid privacy, approximate truthfulness, and approximate accuracy maximization. Extensive simulation studies using a real spectrum measurement dataset confirm the efficacy and efficiency of the proposed mechanism. 

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5. Spectrum Measurement Markets for Tiered Spectrum Access

   https://doi.org/10.1109/ICC.2018.8422512  

   Ghosh, Arnob; Berry, Randall; Aggarwal, Vaneet (May 2018, 2018 IEEE International Conference on Communications (ICC))

   The recent framework for tiered spectrum sharing in the 3.5 GHz band establishes rules in which multiple firms called Environment Sensing Capability operators (ESCs) may measure spectrum occupancy and sell these measurements to other firms to help facilitate spectrum access. Motived by this we consider a scenario in which two spectrum access firms (SAs) seeks to access a shared band of spectrum and must in turn purchase spectrum measurements from one of two ESCs. Given the measurements they purchase, the SA firms then compete on price to serve customers in a shared band of spectrum. We study how differences in the quality and price of the spectrum measurements impact the resulting market equilibrium between the SAs and find that having different qualities of measurements available to different SAs can lead to better economic welfare. 

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