Smart Spectrum Detection for Next-Generation Wireless Systems | Optimizing Wireless Networks Through Smart Spectrum Sensing

Rahul Koshti

ISBN 10: 6209264190 / ISBN 13: 9786209264191

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Smart Spectrum Detection for Next-Generation Wireless Systems | Optimizing Wireless Networks Through Smart Spectrum Sensing | Rahul Koshti | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209264191 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 134443025

Bibliographic Details

• Title: Smart Spectrum Detection for Next-Generation Wireless Systems | Optimizing Wireless Networks Through Smart Spectrum Sensing
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6209264190
• ISBN 13: 9786209264191
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 250 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.