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Volumn , Issue , 2014, Pages 418-422

Efficient use of random neural networks for cognitive radio system in LTE-UL

Author keywords

[No Author keywords available]

Indexed keywords

5G MOBILE COMMUNICATION SYSTEMS; COGNITIVE RADIO; DECISION MAKING; FREQUENCY DOMAIN ANALYSIS;

EID: 84911971547     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISWCS.2014.6933389     Document Type: Conference Paper
Times cited : (7)

References (13)
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    • W. Jouini, C. Moy, and J. Palicot, "Decision making for cognitive radio equipment: Analysis of the first 10 years of exploration. " EURASIP J. Wireless Comm. and Networking, vol. 2012, p. 26, 2012
    • (2012) EURASIP J. Wireless Comm. and Networking , vol.2012 , pp. 26
    • Jouini, W.1    Moy, C.2    Palicot, J.3
  • 2
    • 0000145931 scopus 로고
    • Stability of the random neural network model
    • E. Gelenbe, "Stability of the random neural network model," Neural computation, vol. 2, no. 2, pp. 239-247, 1990
    • (1990) Neural Computation , vol.2 , Issue.2 , pp. 239-247
    • Gelenbe, E.1
  • 6
    • 34248230738 scopus 로고    scopus 로고
    • Criticality of spreading dynamics in hierarchical cluster networks without inhibition
    • M. Kaiser, M. Goerner, and C. C. Hilgetag, "Criticality of spreading dynamics in hierarchical cluster networks without inhibition," New Journal of Physics, vol. 9, no. 5, p. 110, 2007
    • (2007) New Journal of Physics , vol.9 , Issue.5 , pp. 110
    • Kaiser, M.1    Goerner, M.2    Hilgetag, C.C.3
  • 7
    • 0037083202 scopus 로고    scopus 로고
    • Hybrid model building methodology using unsupervised fuzzy clustering and supervised neural networks
    • M. Ronen, Y. Shabtai, and H. Guterman, "Hybrid model building methodology using unsupervised fuzzy clustering and supervised neural networks," Biotechnology and bioengineering, vol. 77, no. 4, pp. 420-429, 2002
    • (2002) Biotechnology and Bioengineering , vol.77 , Issue.4 , pp. 420-429
    • Ronen, M.1    Shabtai, Y.2    Guterman, H.3
  • 8
    • 34047102036 scopus 로고    scopus 로고
    • Anticipation-based temporal sequences learning in hierarchical structure
    • J. A. Starzyk and H. He, "Anticipation-based temporal sequences learning in hierarchical structure," Neural Networks, IEEE Transactions on, vol. 18, no. 2, pp. 344-358, 2007
    • (2007) Neural Networks, IEEE Transactions on , vol.18 , Issue.2 , pp. 344-358
    • Starzyk, J.A.1    He, H.2
  • 9
    • 84911967700 scopus 로고    scopus 로고
    • Seamcat handbook
    • Jan
    • E. C. Office, "Seamcat handbook," ECO, Jan, 2010
    • (2010) ECO
    • Office, E.C.1
  • 11
    • 79952589387 scopus 로고    scopus 로고
    • Learning in the feed-forward random neural network: A critical review
    • M. Georgiopoulos, C. Li, and T. Kocak, "Learning in the feed-forward random neural network: A critical review," Performance Evaluation, vol. 68, no. 4, pp. 361-384, 2011
    • (2011) Performance Evaluation , vol.68 , Issue.4 , pp. 361-384
    • Georgiopoulos, M.1    Li, C.2    Kocak, T.3
  • 12
    • 84911951932 scopus 로고    scopus 로고
    • Random neural network simulator (rnnsim)
    • H. Abdelbaki, "Random neural network simulator (rnnsim) v. 2," Free simulator available at ftp://ftp. mathworks. com/pub/contrib/v5/nnet/rnnsimv2, 1999
    • (1999) Free Simulator , vol.2
    • Abdelbaki, H.1
  • 13
    • 84911962776 scopus 로고    scopus 로고
    • ETSI, 3gpp tr 36. 942 v10. 3. 0 (2011)
    • ETSI. (2011) E-utra system scenarios, 3gpp tr 36. 942 v10. 3. 0 (2011). [Online]. Available: http://www. quintillion. co. jp/3GPP/Specs/ 36931-b00. pdf
    • (2011) E-utra System Scenarios


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.