| 000 | 03795nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-00290-9 | ||
| 003 | DE-He213 | ||
| 005 | 20220801213948.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 181019s2019 sz | s |||| 0|eng d | ||
| 020 |
_a9783030002909 _9978-3-030-00290-9 |
||
| 024 | 7 |
_a10.1007/978-3-030-00290-9 _2doi |
|
| 050 | 4 | _aTK5103.2-.4885 | |
| 072 | 7 |
_aTJKW _2bicssc |
|
| 072 | 7 |
_aTEC061000 _2bisacsh |
|
| 072 | 7 |
_aTJKW _2thema |
|
| 082 | 0 | 4 |
_a621.384 _223 |
| 100 | 1 |
_aGao, Yue. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _935481 |
|
| 245 | 1 | 0 |
_aData-Driven Wireless Networks _h[electronic resource] : _bA Compressive Spectrum Approach / _cby Yue Gao, Zhijin Qin. |
| 250 | _a1st ed. 2019. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
|
| 300 |
_aXIX, 93 p. 35 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 |
|
| 520 | _aThis 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. | ||
| 650 | 0 |
_aWireless communication systems. _93474 |
|
| 650 | 0 |
_aMobile communication systems. _94051 |
|
| 650 | 0 |
_aTelecommunication. _910437 |
|
| 650 | 1 | 4 |
_aWireless and Mobile Communication. _935482 |
| 650 | 2 | 4 |
_aCommunications Engineering, Networks. _931570 |
| 700 | 1 |
_aQin, Zhijin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _935483 |
|
| 710 | 2 |
_aSpringerLink (Online service) _935484 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030002893 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030002916 |
| 830 | 0 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 _935485 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-00290-9 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c75800 _d75800 |
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