New cooperative strategy for cognitive radios with wireless powered primary users

Conventional strategy for cognitive radios does not assume any energy harvesting capability at the primary users. However, this is not the case when primary users are wirelessly powered, especially in wireless sensor works that are widely used in the Internet of Things. In this paper, we propose a new cooperative strategy where the secondary user transmits data if the primary users are detected to be idle or harvest energy, in contrast to conventional strategy where the secondary user only transmits data if the primary users are detected idle. The performances of this new strategy are analysed. Numerical results show that primary user can achieve energy gain from the transmission of secondary user and that secondary user can also achieve throughput gain by transmitting data when primary user performs energy harvesting. On the other hand, secondary user harvests less energy on average using the new strategy as it has to transmit data when primary user harvests energy.

[1]  Leandros Tassiulas,et al.  The mutual benefits of primary-secondary user cooperation in wireless cognitive networks , 2014, 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[2]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[3]  Zihao Wang,et al.  Wireless energy harvesting and information transfer in cognitive two-way relay networks , 2014, 2014 IEEE Global Communications Conference.

[4]  Hsiao-Hwa Chen,et al.  Enhancing wireless information and power transfer by exploiting multi-antenna techniques , 2015, IEEE Communications Magazine.

[5]  Lav R. Varshney,et al.  Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.

[6]  Victor C. M. Leung,et al.  Wireless energy harvesting in interference alignment networks , 2015, IEEE Communications Magazine.

[7]  Hsiao-Hwa Chen,et al.  Computation Diversity in Emerging Networking Paradigms , 2017, IEEE Wireless Communications.

[8]  Kaibin Huang,et al.  Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment , 2012, IEEE Transactions on Wireless Communications.

[9]  Kaibin Huang,et al.  Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.

[10]  Björn E. Ottersten,et al.  Information and Energy Cooperation in Cognitive Radio Networks , 2014, IEEE Transactions on Signal Processing.

[11]  Sungsoo Park,et al.  Cognitive Radio Networks with Energy Harvesting , 2013, IEEE Transactions on Wireless Communications.

[12]  Hyungsik Ju,et al.  Throughput Maximization in Wireless Powered Communication Networks , 2013, IEEE Trans. Wirel. Commun..

[13]  Victor C. M. Leung,et al.  Opportunistic communications in interference alignment networks with wireless power transfer , 2015, IEEE Wireless Communications.

[14]  Sungsoo Park,et al.  Spectrum Sensing Optimization for Energy-Harvesting Cognitive Radio Systems , 2014, IEEE Transactions on Wireless Communications.