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Secure Cognitive Radio-Enabled Vehicular Communications under Spectrum-Sharing Constraints.

Suneel Yadav1, Anshul Pandey2, Dinh-Thuan Do3

  • 1Department of Electronics and Communication Engineering, Indian Institute of Information Technology Allahabad, Prayagraj 211015, India.

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Summary
This summary is machine-generated.

Cognitive radio vehicular networks enhance spectrum access and security. This study analyzes secrecy performance in these networks, deriving key metrics like secrecy outage probability and ergodic secrecy capacity under specific interference constraints.

Keywords:
cognitive radio vehicular networks (CRVNs)double-Rayleigh fading channelsergodic secrecy capacity (ESC)physical-layer securitysecrecy outage probability (SOP)

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Area of Science:

  • Wireless Communication
  • Network Security
  • Cognitive Radio

Background:

  • Vehicular networks face spectrum scarcity and security challenges.
  • Smart vehicles necessitate advanced communication solutions beyond 5G.
  • Cognitive radio offers a promising approach to spectrum access and security.

Purpose of the Study:

  • To investigate the secrecy performance of cognitive radio-enabled vehicular networks.
  • To analyze the impact of interference constraints on network security.
  • To derive exact expressions for secrecy outage probability and ergodic secrecy capacity.

Main Methods:

  • Modeling vehicular networks with double-Rayleigh fading channels.
  • Implementing an underlay approach with two interference constraint strategies.
  • Deriving analytical expressions for secrecy outage probability (SOP) and ergodic secrecy capacity (ESC).

Main Results:

  • Achieved full secrecy diversity of 1 under specific channel gain conditions.
  • Identified an ESC scaling law of ΘlnΩm2Ωe2 for large channel gains.
  • Validated analytical findings through numerical and simulation results.

Conclusions:

  • Cognitive radio frameworks effectively address spectrum scarcity and security in vehicular networks.
  • The derived analytical expressions provide valuable insights into network performance.
  • The study confirms the feasibility of achieving high security levels in dynamic vehicular environments.