Cognitive Radio-Assisted NOMA Broadcasting for 5G Cellular V2X Communications: Model of Roadside Unit Selection and...

Area of Science:

• Wireless communication networks
• Spectrum management
• Energy harvesting technologies

Background:

• Cognitive Radio (CR) implementation in Vehicle-to-Everything (V2X) networks faces challenges with outage performance.
• Non-Orthogonal Multiple Access (NOMA) is gaining interest for wireless-powered communication systems.
• Conventional CR-enabled V2X-NOMA networks suffer from spectrum sensing limitations and Roadside Unit (RSU) battery capacity issues.

Purpose of the Study:

• To propose and analyze a CR-enabled V2X-NOMA system model incorporating Simultaneous Wireless Information and Power Transfer (SWIPT).
• To investigate the impact of RSU selection schemes on system performance.
• To derive exact expressions for the outage probability of distant vehicles in the overlay CR-enabled V2X-NOMA network.

Main Methods:

• Adoption of an RSU selection scheme.
• Integration of Simultaneous Wireless Information and Power Transfer (SWIPT) at the RSU for energy harvesting and spectrum sensing.
• Derivation of exact outage probability expressions for distant vehicles.

Main Results:

• The proposed system demonstrates that CR-enabled V2X-NOMA networks benefit from integrated energy harvesting and RSU selection.
• Transmit power and the number of RSUs significantly impact system performance in overlay CR-enabled V2X-NOMA networks.
• Simulation results validate the performance improvements achieved through the proposed schemes.

Conclusions:

• The integration of SWIPT and RSU selection schemes effectively addresses outage performance issues in CR-enabled V2X-NOMA networks.
• Energy harvesting and strategic RSU selection are crucial for enhancing the reliability of V2X communication.
• The study provides a framework for optimizing CR-enabled V2X-NOMA systems through efficient resource management.