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Cooperative and Adaptive Spectrum Management System Using Blockchain for 5G NR-U and WiFi Coexistence in the Unlicensed Band

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submitted on 2024-12-22, 12:02 and posted on 2024-12-26, 10:23 authored by Lina Salim Alsahan
The licensed band is crowded and suffers from the immense mobile data traffic growth, which exceeded 58 exabytes per month in five years. Meanwhile, a significant portion of the unlicensed band is underutilized and not coordinated efficiently. 5G NR-U technology supports 5G networks in the unlicensed band to tackle the aforementioned concern. Different heterogeneous network access technologies already use the unlicensed band. Consequently, 5G NR-U networks will operate in the proximity of other heterogeneous network access technologies such as WiFi in the 5 GHz frequency band. The standard spectrum access control of the 5G NR-U networks is Listen-Before-Talk. Unfortunately, this protocol is susceptible to inaccurate spectrum assessment due to the wireless medium's nature. Therefore, detecting the signal transmitted over the shared spectrum becomes challenging. Cooperative spectrum sensing (CSS) broadens the spectrum assessment process, as the decision about the spectrum state is rendered based on the local decision of multiple sensing nodes. We exploit CSS by integrating it with Blockchain technology to design a decentralized cooperative and adaptive spectrum management system, attributed to ameliorate spectrum sharing between 5G NR-U and WiFi networks in the unlicensed band. We first design and implement a proof-of-concept using Ethereum Blockchain and NS3 simulator. Then we conduct an empirical evaluation of the system's accuracy and energy consumption. Finally, we present a theoretical security analysis.

History

Language

  • English

Publication Year

  • 2021

License statement

© The author. The author has granted HBKU and Qatar Foundation a non-exclusive, worldwide, perpetual, irrevocable, royalty-free license to reproduce, display and distribute the manuscript in whole or in part in any form to be posted in digital or print format and made available to the public at no charge. Unless otherwise specified in the copyright statement or the metadata, all rights are reserved by the copyright holder. For permission to reuse content, please contact the author.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU

Degree Date

  • 2021

Degree Type

  • Master's

Advisors

Mohammed Abdallah

Committee Members

Alaa Al Fuqaha; Aiman Erbad

Department/Program

College of Science and Engineering

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