Unified Analysis of Low-SNR Energy Detection and Threshold Selection

被引:52
|
作者
Atapattu, Saman [1 ]
Tellambura, Chintha [1 ]
Jiang, Hai [1 ]
Rajatheva, Nandana [2 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
[2] Univ Oulu, Dept Commun Engn, Ctr Wireless Commun, FIN-90570 Oulu, Finland
关键词
Cognitive radio; energy detection; low signal-to-noise ratio (SNR); spectrum sensing; threshold selection; SIGNALS; AREA;
D O I
10.1109/TVT.2014.2381648
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For spectrum sensing in cognitive radio networks, the IEEE 802.22 standard requires the detection of primary signals with a signal-to-noise ratio (SNR) as low as -20 dB and receiver sensitivity as low as -116 dBm. Under such low-SNR levels, the performance of a conventional energy detector is analyzed in this paper. The analysis includes novel expressions for missed-detection probability and area under the receiver operating characteristic (ROC) curve. Thus, a unified framework covering fading channels, square-law diversity combining, and cooperative spectrum-sensing scenarios is developed. The detection threshold is optimized to minimize the total error rate subject to bounded false-alarm and missed-detection probabilities, which outperforms traditional detection threshold selection. Numerical results and Monte Carlo simulation results with the IEEE 802.22 sensing requirements are provided and discussed.
引用
收藏
页码:5006 / 5019
页数:14
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