EAN: 9783030002893

SPRINGERBRIEFS IN ELECTRICAL AND COMPUTER ENGIN...

This SpringerBrief discusses the applications of spare representation in wireless
communications  with a particular focus on the most recent developed compressive sensing (CS)
enabled approaches. With the help of sparsity property  sub-Nyquist sampling can be achieved in
wideband cognitive radio networks by adopting compressive sensing  which is illustrated in this
brief  and it starts with a comprehensive overview of compressive sensing principles.
Subsequently  the authors present a complete framework for data-driven compressive spectrum
sensing in cognitive radio networks  which guarantees 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 enables
data-driven compressive spectrum sensing. The collected data are analysed and used to verify
our designs and provide significant insights on the potential of applying compressive sensing
to wideband spectrum sensing. This SpringerBrief provides readers a clear picture on how to
exploit the compressive sensing to process wireless signals in wideband cognitive radio
networks. Students  professors  researchers  scientists  practitioners  and engineers working
in the fields of compressive sensing in wireless communications will find this SpringerBrief
very useful as a short reference or study guide book. Industry managers  and government
research agency employees also working in the fields of compressive sensing in wireless
communications will find this SpringerBrief useful as well.

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