Enhancing Reconfigurable Intelligent Surface-Enabled Cognitive Radio Networks for Sixth Generation and Beyond:...

Area of Science:

• Wireless Communication Engineering
• Signal Processing
• Information Theory

Background:

• The integration of reconfigurable intelligent surfaces (RISs) and cognitive radio (CR) is crucial for advancing wireless communication systems.
• Future networks like 6G demand innovative solutions for efficient spectrum utilization and enhanced connectivity.

Purpose of the Study:

• To propose and analyze a novel RIS-assisted CR network architecture.
• To investigate the performance of the proposed system under various conditions and parameters.
• To provide insights for optimizing RIS-assisted CR systems for future wireless networks.

Main Methods:

• Mathematical derivation of performance metrics for the secondary user (SU).
• Validation of analytical results using Monte Carlo simulations.
• Analysis of system performance based on signal-to-noise ratio (SNR), power allocations, number of reflectors, and blocklength.

Main Results:

• Performance is sensitive to the number of reflectors, fading severity, and correlation coefficient.
• Optimized reflector configuration prevents complete system outage and enhances overall performance.
• The proposed RIS-assisted CR systems demonstrate superior performance compared to reference schemes.

Conclusions:

• The proposed RIS-assisted CR system offers a robust and efficient solution for future wireless networks.
• Parameter optimization, particularly reflector configuration, is key to maximizing system performance.
• This work provides valuable insights for the design and deployment of advanced wireless communication systems.