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

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.