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Smart Optimization Solution for Channel Access Attack Defense under UAV-aided Heterogeneous Network

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print
  • Zhaoyang Han
  • Yaoqi Yang
  • Muhammad Bilal
  • Weizheng Wang
  • Moez Krichen
  • Abeer Abdullah Alsadhan
  • Chunpeng Ge
<mark>Journal publication date</mark>1/06/2023
<mark>Journal</mark>IEEE Internet of Things Journal
Publication StatusE-pub ahead of print
Early online date1/06/23
<mark>Original language</mark>English


6G-based wireless communication system is poised to redefine the next-generation network landscape by enabling novel services and applications such as intelligent link establishment, power control, data collection, transmission, and distribution. However, security issues, particularly recently revealed Channel Access Attack (CAA), present significant challenges to performance optimization tasks in the heterogeneous wireless networks of 6G, namely, Age of Information (AoI) Oriented Network (AoN), Throughput Oriented Network (ToN), and Latency Oriented Network (LoN). To address these challenges, this paper presents a game theory-based smart optimization solution to enable Unmanned Aerial Vehicles (UAV) to resist CAA within a 6G-based heterogeneous network. Our methodology begins by outlining the advantages and challenges associated with UAV usage, followed by the design of performance indicators and intelligent resource allocation schemes under the influence of CAA. Subsequently, we introduce definitions and categories within game theory, encompassing the concept and equilibrium of three typical game models. The efficacy of our proposed framework is validated through simulation results, which demonstrate the achievement of optimal AoI, enhanced throughput, and reduced latency compared with baseline methodologies when countering CAA in a UAV-assisted heterogeneous network.

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Publisher Copyright: IEEE