Joint Relay Selection and Power Allocation through a Genetic Algorithm for Secure Cooperative Cognitive Radio...

Area of Science:

• Wireless Communication
• Network Security
• Signal Processing

Background:

• Cooperative cognitive radio networks (CCRNs) face challenges in secure data transmission for secondary users (SUs).
• Efficient power allocation (PA) and multi-relay selection (MRS) are crucial for balancing SU secrecy and primary user (PU) interference.
• Existing methods struggle with the complexity of optimizing PA and MRS simultaneously.

Purpose of the Study:

• To develop an optimal solution for PA and MRS in amplify-and-forward (AF) CCRNs.
• To maximize the network's secrecy rate (SR) while adhering to power and interference constraints.

Main Methods:

• Formulated the problem as a mixed integer programming problem.
• Proposed a meta-heuristic genetic algorithm-based scheme for MRS and PA.
• Evaluated performance using simulation against exhaustive search and conventional schemes.

Main Results:

• The proposed genetic algorithm scheme achieves near-optimal SR performance.
• Demonstrated significant SR improvement compared to conventional relay selection with equal power allocation.
• Successfully satisfied transmission power and interference requirements.

Conclusions:

• The genetic algorithm-based approach effectively addresses the complexity of PA and MRS optimization in CCRNs.
• This method offers a practical solution for enhancing secure communication in cognitive radio environments.
• The findings provide a valuable contribution to improving the security and efficiency of CCRNs.