Channel Sensing without Quiet Period for Cognitive Radio Systems: A Pilot Cancellation Approach

The cognitive radio (CR) systems usually arrange for the quiet period to detect the primary user (PU) effectively. Since all CR users do not transmit any data during quiet period, the interference caused by other CR users can be prevented in the channel sensing for PU detection. Even though the quiet period improves the PU detection performance, it degrades the channel utilization of CR system. To cope with this problem, we propose a channel sensing scheme without quiet period, which is based on the pilot cancellation, and analyze its performance. The numerical results show that the proposed scheme highly outperforms the existing PU detection schemes.

[1]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Transactions on Wireless Communications.

[2]  Gwangzeen Ko,et al.  An efficient quiet period management scheme for cognitive radio systems , 2008, IEEE Transactions on Wireless Communications.

[3]  W. Gardner Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.

[4]  Wha Sook Jeon,et al.  Nonquiet primary user detection for OFDMA-based cognitive radio systems , 2009, IEEE Transactions on Wireless Communications.

[5]  Dong Chen,et al.  In-Band Sensing without Quiet Period in Cognitive Radio , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[6]  Daniel Yellin,et al.  Pilot interference cancellation technology for CDMA cellular networks , 2005, IEEE Transactions on Vehicular Technology.

[7]  Yonghong Zeng,et al.  Maximum-Minimum Eigenvalue Detection for Cognitive Radio , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[8]  Erik G. Larsson,et al.  Primary System Detection for Cognitive Radio: Does Small-Scale Fading Help? , 2007, IEEE Communications Letters.

[9]  Petre Stoica,et al.  Correlation Matching Approach for Spectrum Sensing in Open Spectrum Communications , 2009, IEEE Transactions on Signal Processing.

[10]  Wha Sook Jeon,et al.  Dynamic Channel Sensing Management for OFDMA-Based Cognitive Radio Systems , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[11]  P. K. Chaturvedi,et al.  Communication Systems , 2002, IFIP — The International Federation for Information Processing.

[12]  Laurence B. Milstein,et al.  Effects of imperfections on the performance of OFDM systems , 2009, IEEE Transactions on Communications.