Resource Allocation for an Underlay Wireless Powered Cognitive Radio

This paper investigates an underlay cognitive radio (CR) that extracts energy from radio-frequency signals of one primary user. We assume that both the wireless energy harvesting and the secondary transmission processes of the CR suffer Rayleigh block fading. Considering the intrinsic harvesting- transmitting tradeoff, we optimize the harvesting time and transmit power of the CR to minimize the outage probability of the secondary transmission, subject to the primary interference and the energy causality constraints. Numerical evaluation validates the correctness of this work.

[1]  Derrick Wing Kwan Ng,et al.  Simultaneous wireless information and power transfer in modern communication systems , 2014, IEEE Communications Magazine.

[2]  Sixing Yin,et al.  Achievable Throughput Optimization in Energy Harvesting Cognitive Radio Systems , 2015, IEEE Journal on Selected Areas in Communications.

[3]  Wei Liang,et al.  Harvesting-Throughput Tradeoff for CDMA-Based Underlay Cognitive Radio Networks With Wireless Energy Harvesting , 2018, IEEE Systems Journal.

[4]  Pingzhi Fan,et al.  Outage Performance of Cognitive Relay Networks With Wireless Information and Power Transfer , 2016, IEEE Transactions on Vehicular Technology.

[5]  Jian Zhou,et al.  Cognitive Relay Networks With Energy Harvesting and Information Transfer: Design, Analysis, and Optimization , 2016, IEEE Transactions on Wireless Communications.

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

[7]  Zhu Han,et al.  Wireless Networks With RF Energy Harvesting: A Contemporary Survey , 2014, IEEE Communications Surveys & Tutorials.

[8]  Ying Wang,et al.  Optimization of relay selection and ergodic capacity in cognitive radio sensor networks with wireless energy harvesting , 2015, Pervasive Mob. Comput..

[9]  Insoo Koo,et al.  Access Strategy for Hybrid Underlay-Overlay Cognitive Radios With Energy Harvesting , 2014, IEEE Sensors Journal.

[10]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[11]  Caijun Zhong,et al.  Application of smart antenna technologies in simultaneous wireless information and power transfer , 2014, IEEE Communications Magazine.

[12]  Caijun Zhong,et al.  Wireless-Powered Communications: Performance Analysis and Optimization , 2015, IEEE Transactions on Communications.

[13]  Ping Zhang,et al.  Power Versus Spectrum 2-D Sensing in Energy Harvesting Cognitive Radio Networks , 2015, IEEE Transactions on Signal Processing.

[14]  Haibin Yu,et al.  Harvesting-throughput tradeoff for RF-powered underlay cognitive radio networks , 2016 .

[15]  Ping Zhang,et al.  Power Versus Spectrum 2-D Sensing in Energy Harvesting Cognitive Radio Networks , 2015, IEEE Transactions on Signal Processing.

[16]  Derrick Wing Kwan Ng,et al.  Multiobjective Resource Allocation for Secure Communication in Cognitive Radio Networks With Wireless Information and Power Transfer , 2016, IEEE Transactions on Vehicular Technology.

[17]  Ying-Chang Liang,et al.  Outage Performance of Underlay Multihop Cognitive Relay Networks With Energy Harvesting , 2016, IEEE Communications Letters.

[18]  Dong In Kim,et al.  Opportunistic Channel Access and RF Energy Harvesting in Cognitive Radio Networks , 2014, IEEE Journal on Selected Areas in Communications.

[19]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

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