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BD-SAS: Enabling Dynamic Spectrum Sharing in Low-Trust Environment

  • Yang Xiao
  • , Shanghao Shi
  • , Wenjing Lou
  • , Chonggang Wang
  • , Xu Li
  • , Ning Zhang
  • , Y. Thomas Hou
  • , Jeffrey H. Reed

Producción científica: Article › revisión exhaustiva

24 Citas (Scopus)

Resumen

The spectrum access system (SAS) designated by the FCC follows a centralized server-client model where a spectrum user registers with one SAS service provider for spectrum allocation and other spectrum management functions. This model, however, is vulnerable to adversarial influence on individual SAS servers, causing concerns over system reliability and trustworthiness, especially when the ecosystem embraces a growing base of SAS service providers and heterogeneous user requirements. In this paper, we propose a blockchain-based decentralized SAS architecture called BD-SAS to provide SAS services securely and efficiently, without assuming trust in individual SAS servers. BD-SAS is backward compatible with the existing SAS infrastructure and supports the automatic execution of key spectrum management functions. A global blockchain network (G-Chain) is used for spectrum regulatory tasks while localized blockchain networks (L-Chains) are instantiated in individual spectrum zones for automating spectrum access assignment and other spectrum management activities. To further achieve security against an adaptive adversary, BD-SAS integrates a SAS server reshuffle scheme to resist adaptive corruptions on individual SAS servers. We implemented a BD-SAS prototype with practical blockchain platforms. Evaluation results demonstrate the feasibility and responsiveness of our system, wherein a spectrum access assignment can be finalized at the level of seconds.

Idioma originalEnglish
Páginas (desde-hasta)842-856
Número de páginas15
PublicaciónIEEE Transactions on Cognitive Communications and Networking
Volumen9
N.º4
DOI
EstadoPublished - ago 1 2023

Nota bibliográfica

Publisher Copyright:
© 2015 IEEE.

Financiación

This work was supported in part by the U.S. National Science Foundation under grants 1916902, 1916926, 2154929, and 2154930, the Army Research Office under grant W911NF- 20-1-0141, and a gift from InterDigital. A preliminary version of this work has appeared as Chapter 6 in Yang Xiao's Ph.D.

FinanciadoresNúmero del financiador
National Science Foundation Arctic Social Science Program2154930, 1916926, 2154929, 1916902
Army Research OfficeW911NF- 20-1-0141

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Computer Networks and Communications
    • Artificial Intelligence

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