Sensing-throughput tradeoff for cooperative multiple-input single-output cognitive radio

Summary In this paper, we propose a new cooperative multiple-input single-output (MISO) cognitive radio (CR) system, which can use some of the antennas to transmit its data and the others to help to transmit the data of the primary user (PU) by performing cooperative communication if the presence of the PU is detected through the cooperative spectrum sensing. A new cooperative sensing-throughput tradeoff model is proposed, which maximizes the aggregate rate of the CR by jointly optimizing sensing time and spatial sub-channel power, subject to the constraints of the aggregate rate of the PU, the false alarm and detection probabilities, the aggregate interference to the PU and the aggregate power of the CR. Simulation results show that compared with the conventional scheme, the proposed cooperative scheme can achieve the larger aggregate rate of the CR, while keeping the aggregate rate of the PU invariable with the increasing of the interference. Copyright © 2013 John Wiley & Sons, Ltd.

[1]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[2]  Siavash Ghavami,et al.  Spectrum sensing and power/rate control in CDMA cognitive radio networks , 2012, Int. J. Commun. Syst..

[3]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Trans. Wirel. Commun..

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

[5]  Jing Liu,et al.  Full-Diversity Codes for MISO Systems Equipped With Linear or ML Detectors , 2008, IEEE Transactions on Information Theory.

[6]  James C. Bezdek,et al.  Convergence of Alternating Optimization , 2003, Neural Parallel Sci. Comput..

[7]  Jun Zhou,et al.  Antenna selection for multiple-input and single-output cognitive radio systems , 2012, IET Commun..

[8]  Kejie Lu,et al.  MaxDiv: an optimal randomized spectrum access with maximum diversity scheme for cognitive radio networks , 2012, Int. J. Commun. Syst..

[9]  Xin Liu,et al.  Optimization algorithm of periodical cooperative spectrum sensing in cognitive radio , 2014, Int. J. Commun. Syst..

[10]  R. Schober,et al.  Sensing Time and Power Optimization in MIMO Cognitive Radio Networks , 2012, IEEE Transactions on Wireless Communications.

[11]  Xiaola Lin,et al.  An auction‐based MAC protocol for cognitive radio networks , 2012, Int. J. Commun. Syst..

[12]  Yonghong Zeng,et al.  Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View , 2009, IEEE Transactions on Vehicular Technology.

[13]  Sidan Du,et al.  Resource allocation for multiuser cognitive OFDM networks with proportional rate constraints , 2012, Int. J. Commun. Syst..

[14]  H. Urkowitz Energy detection of unknown deterministic signals , 1967 .

[15]  Kyung Sup Kwak,et al.  Joint sensing time and power allocation in cooperatively cognitive networks , 2010, IEEE Communications Letters.