Data-Driven Wireless Networks: A Compressive Spectrum Approach

Yue Gao, Zhijin Qin

Informasi Dasar

21.21.1307
621.382
Buku - Elektronik (E-Book)

In this book, we will discuss the applications of spare representation in wireless communications, with particular focus on the most recently developed compressive sensing-enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing. This book starts from a comprehensive overview of CS principles. Subsequently, we will present a complete framework for data-driven compressive spectrum sensing in cognitive radio networks, which is able to provide guarantee on robustness, low complexity, and security. Particularly, robust compressive spectrum sensing, low-complexity compressive spectrum sensing, and secure compressive sensing-based malicious user detection are proposed to address the various issues in wideband cognitive radio networks. Correspondingly, the real-world signals and data collected by experiments carried out during TV white space pilot trial enable data-driven compressive spectrum sensing. The collected data are used to verify our designs and provide significant insights on the potential of applying compressive sensing to wideband spectrum sensing. We believe this book will provide readers a clear picture on how to exploit the compressive sensing to process wireless signals in wideband cognitive radio networks.

Subjek

COMMUNICATION ENGINEERING
 

Katalog

Data-Driven Wireless Networks: A Compressive Spectrum Approach
978-3-030-00290-9
104p.: pdf file.; 3 MB
Inggris

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

Yue Gao, Zhijin Qin
Perorangan
 
 

Penerbit

Springer
Switzerland
2019

Koleksi

Kompetensi

  • TTI4A3 - KOMUNIKASI AKSES WIRELESS

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