Primary spectrum availability sensing for cognitive radio

Precluding the out of date spectrum hole is quite essential for cognitive spectrum sensing. Key factors in this problem include the primary users' activity in time domain and the spectrum sensing triggers, etc. The Primary Spectrum Availability Sensing for Cognitive Radio is proposed in this paper. Renewal theory is introduced to derive the instant availability and the sensing cost. Numerical studies prove that the probability of up to date sensing result decreases and the sensing cost rises along with the time.

[1]  Romano Fantacci,et al.  A Low-Complexity Cyclostationary-Based Spectrum Sensing for UWB and WiMAX Coexistence With Noise Uncertainty , 2010, IEEE Transactions on Vehicular Technology.

[2]  Lang Tong,et al.  Optimal adaptive transmission for a cognitive radio with sensing , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[3]  Octavia A. Dobre,et al.  Dynamic threshold adaptation for spectrum sensing in cognitive radio systems , 2010, 2010 IEEE Radio and Wireless Symposium (RWS).

[4]  K. Ramchandran,et al.  Detecting primary receivers for cognitive radio applications , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[5]  Limin Xiao,et al.  Optimization of Detection Time for Channel Efficiency in Cognitive Radio Systems , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[6]  Khaled Ben Letaief,et al.  Power, Sensing Time, and Throughput Tradeoffs in Cognitive Radio Systems: A Cross-Layer Approach , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[7]  Tommaso Melodia,et al.  A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks , 2010, IEEE Communications Letters.