Optimum energy harvesting model for bidirectional cognitive radio networks

EURASIP Journal on Wireless Communications and Networking

Khairul A. A. Bakar¹  Mohammad Kamrul Hasan¹  Jamel Nibhen²  Shakil Ahmed³  Md. Monwar J. Chowdhury⁴  Saifur R. Sabuj⁵ 

[1] Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia;College of Computer Science and Engineering, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia;Department of Electrical Engineering, Iowa State University, Ames, IA, USA;Department of Electrical and Electronic Engineering, Brac University, Dhaka, Bangladesh;Department of Electronic Engineering, Hanbat National University, Daejeon, South Korea;

关键词: Cognitive radio network;    Data rate;    Energy efficiency;    Energy harvesting;    Outage probability;   

DOI  :  10.1186/s13638-021-02064-5

来源: Springer

【 摘 要 】

Wireless devices’ energy efficiency and spectrum shortage problem has become a key concern worldwide as the number of wireless devices increases at an unparalleled speed. Wireless energy harvesting technique from traditional radio frequency signals is suitable for extending mobile devices’ battery life. This paper investigates a cognitive radio network model where primary users have their specific licensed band, and secondary users equipped with necessary hardware required for energy harvesting can use the licensed band of the primary user by smart sensing capability. Analytical expressions for considered network metrics, namely data rate, outage probability, and energy efficiency, are derived for uplink and downlink scenarios. In addition, optimal transmission power and energy harvesting power are derived for maximum energy efficiency in downlink and uplink scenarios. Numerical results show that outage probability improves high transmission power in the downlink scenario and high harvested power in the uplink scenario. Finally, the result shows that energy efficiency improves using optimum transmission power and energy harvesting power for downlink and uplink scenarios.

【 授权许可】

CC BY