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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
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612-822-4611
Smart Spectrum Detection for Next-Generation Wireless Systems

Smart Spectrum Detection for Next-Generation Wireless Systems

Paperback

Technology & Engineering

ISBN10: 6209264190
ISBN13: 9786209264191
Publisher: LAP Lambert Academic Publishing
Published: Dec 12 2025
Pages: 156
Weight: 0.48
Height: 0.36 Width: 6.00 Depth: 9.00
Language: English
Spectrum sensing plays a vital role in cognitive radio-based wireless communication, as enhanced sensing improves overall network performance. Traditional signal analysis methods like Fast Fourier Transform (FFT) and Wavelet Transform are widely used but have limitations. FFT requires large data samples and high processing time, while Wavelet analysis, though efficient in both time and frequency domains, also demands substantial computation. To address these issues, this study explores the Empirical Mode Decomposition (EMD) technique for spectrum sensing in IEEE 802.22 Wireless Regional Area Networks (WRAN). The performance of FFT, Wavelet, and EMD-based methods is compared in terms of detection probability, false alarm probability, signal-to-noise ratio, and bit error rate. Simulation and experimental results show that EMD significantly enhances spectrum sensing accuracy and efficiency. Thus, implementing EMD in WRAN improves cognitive radio spectrum detection compared to FFT and Wavelet techniques.

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Technology & Engineering