Energy-Efficient Secure Communications for Wireless-Powered Cognitive Radio Networks

Area of Science:

• Wireless Communications
• Network Security
• Energy Harvesting

Background:

• Cognitive radio networks enable spectrum sharing between primary users (PUs) and secondary users (SUs).
• Energy harvesting (EH) nodes can collect energy from wireless signals, even without decoding information.
• Balancing secure communication, PU interference, and EH requirements is crucial for SUs.

Purpose of the Study:

• To develop an energy-efficient algorithm for secure communications in wireless-powered cognitive radio networks.
• To maximize the average secrecy energy efficiency (SEE) for secondary users.
• To ensure acceptable interference levels for primary users and meet energy requirements for energy harvesting nodes.

Main Methods:

• An energy-efficient transmit power control algorithm is proposed using dual decomposition.
• Suboptimal transmit powers are determined iteratively with low computational complexity.
• Extensive simulations are conducted across various network scenarios.

Main Results:

• The proposed scheme achieves higher average secrecy energy efficiency (SEE) compared to conventional methods.
• The algorithm demonstrates a significantly shorter computation time than optimal schemes.
• The method effectively balances SEE maximization with interference and energy harvesting constraints.

Conclusions:

• The developed dual decomposition-based algorithm offers an efficient solution for energy-efficient secure communications in cognitive radio networks.
• The proposed approach provides a practical method for optimizing SEE while respecting network constraints.
• The findings highlight the potential for improved performance and reduced computational overhead in wireless-powered cognitive radio systems.