Table 5.

Comparison between wideband spectrum sensing techniques.

Wideband Sensing Technique	Advantages	Disadvantage
Wavelet-based detection [12,13,14]	Reduced latency compared to sequential sensing Find the frequency locations of the occupied channels No sensing of the sub-bands one-by-one is required	High latency High power consumption High sampling rate High complexity of implementation Low detection at low SNR values
Multi-band joint-based detection [15]	Optimize the selection of the threshold for energy detector The detection is performed jointly Reduced latency compared with wavelet-based detection	The optimization introduces large latency High sampling rate High complexity implementation
Filter bank-joint detection [16,17,18]	Moderate latency High detection performance	Hardware cost High sampling rate Low detection performance at low SNR values
Compressive sensing-based detection	Reduced latency and sampling rate compared with Nyquist-based sensing Insensitive to noise uncertainty Reduce the processing time Power consumption is reduced The same detection performance as Nyquist-based detection with lost cost	The performance of this techniques depends on the accuracy of the recovery process Estimation of the sparsity level and recovery introduce extra latency