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Volumn , Issue , 2013, Pages 223-227

Eigenvalue and support vector machine techniques for spectrum sensing in cognitive radio networks

Author keywords

Cognitive radio; eigenvalue; machine learning; multi antenna; spectrum sensing

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE RADIO; LEARNING SYSTEMS; RADIO SYSTEMS; SIGNAL TO NOISE RATIO; SUPPORT VECTOR MACHINES;

EID: 84899460777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TAAI.2013.52     Document Type: Conference Paper
Times cited : (39)

References (16)
  • 1
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    • Yucek, T.1    Huseyin, A.2
  • 3
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    • Eigenvalue-based cyclostationary spectrum sensing using multiple antennas
    • Anaheim, CA, USA, Dec. 3-7
    • P. Urriza, E. Rebeiz, and D. Cabric, "Eigenvalue-based Cyclostationary Spectrum Sensing Using Multiple Antennas," Proc. IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, USA, pp.1501-1506, Dec. 3-7, 2012.
    • (2012) Proc. IEEE Global Communications Conference (GLOBECOM) , pp. 1501-1506
    • Urriza, P.1    Rebeiz, E.2    Cabric, D.3
  • 7
    • 0026153032 scopus 로고
    • Detection of the number of signals: A predicted eigen-threshold approach
    • May
    • W. Chen, K.M. Wong, and J.P. Reilly, "Detection of the number of signals: a predicted eigen-threshold approach," IEEE Transactions on Signal Processing, vol.39, no.5, pp.1088-1098, May 1991.
    • (1991) IEEE Transactions on Signal Processing , vol.39 , Issue.5 , pp. 1088-1098
    • Chen, W.1    Wong, K.M.2    Reilly, J.P.3
  • 8
    • 67650712199 scopus 로고    scopus 로고
    • Eigenvalue-based spectrum sensing algorithms for cognitive radio
    • Jun.
    • Y. Zeng and Y. Liang, "Eigenvalue-based spectrum sensing algorithms for cognitive radio," IEEE Transactions on Communications, vol.57, no.6, pp.1784-1793, Jun. 2009.
    • (2009) IEEE Transactions on Communications , vol.57 , Issue.6 , pp. 1784-1793
    • Zeng, Y.1    Liang, Y.2
  • 9
    • 84881317360 scopus 로고    scopus 로고
    • A survey on machine learning techniques in cognitive radios
    • Mar.
    • M. Bkassiny, Y. Li, and S.K. Jayaweera, "A survey on machine learning techniques in cognitive radios," IEEE Communications Surveys & Tutorials, vol.15, no.3, pp.1136-1159, Mar. 2013.
    • (2013) IEEE Communications Surveys & Tutorials , vol.15 , Issue.3 , pp. 1136-1159
    • Bkassiny, M.1    Li, Y.2    Jayaweera, S.K.3
  • 12
    • 84877653491 scopus 로고    scopus 로고
    • Pattern classification techniques for cooperative spectrum sensing in cognitive radio networks: SVM and W-KNN approaches
    • Anaheim, CA, USA, Dec. 3-7
    • K.M. Thilina, K.W. Choi, N. Saquib, and E. Hossain, "Pattern classification techniques for cooperative spectrum sensing in cognitive radio networks: SVM and W-KNN approaches," Proc. IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, USA, pp.1260-1265, Dec. 3-7, 2012.
    • (2012) Proc. IEEE Global Communications Conference (GLOBECOM) , pp. 1260-1265
    • Thilina, K.M.1    Choi, K.W.2    Saquib, N.3    Hossain, E.4
  • 14
    • 85032752314 scopus 로고    scopus 로고
    • Collaborative wideband sensing for cognitive radios
    • Nov
    • Z. Quan, S. Cui, V. Poor, and A. H. Sayed, "Collaborative wideband sensing for cognitive radios, " IEEE Signal Processing Magazine, vol.25, no.6, pp.60-73, Nov. 2008.
    • (2008) IEEE Signal Processing Magazine , vol.25 , Issue.6 , pp. 60-73
    • Quan, Z.1    Cui, S.2    Poor, V.3    Sayed, A.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.