Cooperative spectrum sensing in RF-powered full-duplex cognitive radio networks

In this paper, we consider RF energy harvesting full-duplex (FD) cognitive radio networks (CRNs) which employs cooperative spectrum sensing (CSS) to improve the sensing performance. Equipped with three antennas, secondary users (SUs) in the network can conduct CSS, access to the spectrum opportunistically and harvest RF energy simultaneously. Analytical energy efficiency (EE) and harvesting efficiency (HE) are analyzed for the proposed cooperative RF-powered FD CRNs and a comparison with non-cooperative scenario is provided to measure the performance of our proposed scheme. Both theoretical and simulation results show that there exists a tradeoff between SU's transmit power and its EE, which means an optimal transmit power can be obtained for maximizing the EE. In addition, results indicate that the HE is a monotone increasing function of SU's transmit power.

[1]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[2]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

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

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

[5]  Hamid Jabbar,et al.  RF energy harvesting system and circuits for charging of mobile devices , 2010, IEEE Transactions on Consumer Electronics.

[6]  Lingyang Song,et al.  Cooperative spectrum sensing for full-duplex cognitive radio networks , 2014, 2014 IEEE International Conference on Communication Systems.

[7]  Ashutosh Sabharwal,et al.  Full-duplex wireless communications using off-the-shelf radios: Feasibility and first results , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[8]  Khaled Ben Letaief,et al.  Cooperative Communications for Cognitive Radio Networks , 2009, Proceedings of the IEEE.

[9]  Amir Ghasemi,et al.  Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs , 2008, IEEE Communications Magazine.

[10]  Risto Wichman,et al.  In-Band Full-Duplex Wireless: Challenges and Opportunities , 2013, IEEE Journal on Selected Areas in Communications.

[11]  Taneli Riihonen,et al.  Analog and digital self-interference cancellation in full-duplex MIMO-OFDM transceivers with limited resolution in A/D conversion , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[12]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[13]  Athanasios V. Vasilakos,et al.  Full duplex techniques for 5G networks: self-interference cancellation, protocol design, and relay selection , 2015, IEEE Communications Magazine.

[14]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks , 2007, IEEE Transactions on Wireless Communications.

[15]  Qian Wang,et al.  Detection threshold optimization for RF-powered full-duplex cognitive radio networks , 2016, 2016 IEEE International Conference on Communication Systems (ICCS).

[16]  Anant Sahai,et al.  Cooperative Sensing among Cognitive Radios , 2006, 2006 IEEE International Conference on Communications.

[17]  Ashutosh Sabharwal,et al.  Passive Self-Interference Suppression for Full-Duplex Infrastructure Nodes , 2013, IEEE Transactions on Wireless Communications.

[18]  Gert Frølund Pedersen,et al.  Full-duplex MIMO system based on antenna cancellation technique , 2014 .

[19]  Tommy Svensson,et al.  Exploiting full duplex for device-to-device communications in heterogeneous networks , 2015, IEEE Communications Magazine.

[20]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks , 2007, IEEE Transactions on Wireless Communications.