Effect of Spectrum Sensing Reliability on the Capacity of Multiuser Uplink Cognitive Radio Systems

In this paper, we investigate the performance of opportunistic scheduling in uplink cognitive radio (CR) systems by taking into account the CR users' spectrum sensing reliability. In uplink CR systems, each secondary transmitter (CR user) has a spectrum sensing responsibility to protect the primary system, and the secondary receiver (base station) schedules the transmission opportunities for the CR users. We propose novel optimal and suboptimal scheduling schemes by simultaneously taking into account the spectrum sensing reliability and the data channel quality. Analytical performance results for the proposed suboptimal scheduling schemes show that the spectrum sensing reliability should be considered for scheduling to maximize the capacity of the secondary system. Moreover, we also analyze the achievable multiuser diversity (MUD) gain of one of the proposed suboptimal scheduling schemes, which is based on the linear combination of the sensing channel and the data channel qualities. We show that the MUD gain of uplink CR systems grows significantly slower than that of conventional multiuser systems, particularly if the quality of the sensing channel is poor. Analytical and simulation results confirm that the proposed optimal and suboptimal scheduling schemes taking into account the spectrum sensing reliability and the data channel quality yield significant performance gains compared with conventional opportunistic scheduling.

[1]  Wei Zhang,et al.  Opportunistic spectrum sharing in cognitive MIMO wireless networks , 2009, IEEE Transactions on Wireless Communications.

[2]  Gaston H. Gonnet,et al.  On the LambertW function , 1996, Adv. Comput. Math..

[3]  Seong-Lyun Kim,et al.  Comparison of opportunistic scheduling policies in time-slotted AMC wireless networks , 2006, 2006 1st International Symposium on Wireless Pervasive Computing.

[4]  Vijay K. Bhargava,et al.  Opportunistic spectrum scheduling for multiuser cognitive radio: a queueing analysis , 2009, IEEE Transactions on Wireless Communications.

[5]  Xiaodong Wang,et al.  Multiuser diversity gain in cognitive networks with distributed spectrum access , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

[6]  Michael J. Neely,et al.  Opportunistic Scheduling with Reliability Guarantees in Cognitive Radio Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[7]  François Chapeau-Blondeau,et al.  Numerical evaluation of the Lambert W function and application to generation of generalized Gaussian noise with exponent 1/2 , 2002, IEEE Trans. Signal Process..

[8]  John G. Proakis,et al.  Digital Communications , 1983 .

[9]  Wei Zhang,et al.  Uplink Scheduling with QoS Provisioning for Cognitive Radio Systems , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[10]  Wan Choi,et al.  Multi-user diversity in a spectrum sharing system , 2009, IEEE Transactions on Wireless Communications.

[11]  Weiping Zhu,et al.  Joint user scheduling and beamforming for underlay cognitive radio systems , 2009, 2009 15th Asia-Pacific Conference on Communications.

[12]  Vincent K. N. Lau,et al.  Joint Cross-Layer Scheduling and Spectrum Sensing for OFDMA Cognitive Radio Systems , 2009, 2009 IEEE Wireless Communications and Networking Conference.

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

[14]  Anant Sahai,et al.  SNR Walls for Signal Detection , 2008, IEEE Journal of Selected Topics in Signal Processing.

[15]  David Tse,et al.  Opportunistic beamforming using dumb antennas , 2002, IEEE Trans. Inf. Theory.

[16]  H. N. Nagaraja,et al.  Order Statistics, Third Edition , 2005, Wiley Series in Probability and Statistics.

[17]  Young-Jun Hong,et al.  Two-Dimensional Channel Estimation and Prediction for Scheduling in Cellular Networks , 2009, IEEE Transactions on Vehicular Technology.

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

[19]  Kyounghwan Lee,et al.  Outage Performance of Cognitive Wireless Relay Networks , 2006 .

[20]  Sungtae Kim,et al.  Capacity of Secondary Users Exploiting Multispectrum and Multiuser Diversity in Spectrum-Sharing Environments , 2010, IEEE Transactions on Vehicular Technology.

[21]  K. B. Letaief,et al.  Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks , 2009, IEEE Transactions on Wireless Communications.

[22]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[23]  Ying-Chang Liang,et al.  Investigation on multiuser diversity in spectrum sharing based cognitive radio networks , 2008, IEEE Communications Letters.