Name: Smart Spectrum Detection for Next-Generation Wireless Systems (en Inglés)
SKU: 66360954
Price: 100.22 USD
Availability: InStock
Author: Koshti, Rahul
ISBN: 9786209264191

portada Smart Spectrum Detection for Next-Generation Wireless Systems (en Inglés)

Smart Spectrum Detection for Next-Generation Wireless Systems (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Koshti, Rahul

Idioma

Inglés

N° páginas

156

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.9 cm

ISBN13

9786209264191

Smart Spectrum Detection for Next-Generation Wireless Systems (en Inglés)

Koshti, Rahul (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Smart Spectrum Detection for Next-Generation Wireless Systems (en Inglés)"

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.