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020 _a9783319427843
_9978-3-319-42784-3
024 7 _a10.1007/978-3-319-42784-3
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aZhao, Guodong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959709
245 1 0 _aAdvanced Sensing Techniques for Cognitive Radio
_h[electronic resource] /
_cby Guodong Zhao, Wei Zhang, Shaoqian Li.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aX, 76 p. 39 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
520 _aThis SpringerBrief investigates advanced sensing techniques to detect and estimate the primary receiver for cognitive radio systems. Along with a comprehensive overview of existing spectrum sensing techniques, this brief focuses on the design of new signal processing techniques, including the region-based sensing, jamming-based probing, and relay-based probing. The proposed sensing techniques aim to detect the nearby primary receiver and estimate the cross-channel gain between the cognitive transmitter and primary receiver. The performance of the proposed algorithms is evaluated by simulations in terms of several performance parameters, including detection probability, interference probability, and estimation error. The results show that the proposed sensing techniques can effectively sense the primary receiver and improve the cognitive transmission throughput. Researchers and postgraduate students in electrical engineering will find this an exceptional resource.
650 0 _aTelecommunication.
_910437
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Engineering and Networks.
_959710
700 1 _aZhang, Wei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959711
700 1 _aLi, Shaoqian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_959712
710 2 _aSpringerLink (Online service)
_959713
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319427836
776 0 8 _iPrinted edition:
_z9783319427850
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
_959714
856 4 0 _uhttps://doi.org/10.1007/978-3-319-42784-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80399
_d80399