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Volumn , Issue , 2009, Pages

A neural network based cognitive controller for dynamic channel selection

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL SELECTION; COGNITIVE CONTROL; DYNAMIC CHANNEL SELECTIONS; ENVIRONMENTAL MEASUREMENTS; EXPERIMENTAL MEASUREMENTS; MOBILE USERS; PERFORMANCE ENHANCEMENTS; PERFORMANCE EVALUATION;

EID: 70449488165     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2009.5198636     Document Type: Conference Paper
Times cited : (51)

References (16)
  • 1
    • 33846911348 scopus 로고    scopus 로고
    • Cognitive networks: Adaptation and learning to achieve end-to-end performance objectives
    • Dec
    • R. W. Thomas et al., "Cognitive networks: Adaptation and learning to achieve end-to-end performance objectives," IEEE Communications Magazine, vol. 44, no. 12, pp. 51-57, Dec. 2006.
    • (2006) IEEE Communications Magazine , vol.44 , Issue.12 , pp. 51-57
    • Thomas, R.W.1
  • 3
    • 51949092435 scopus 로고    scopus 로고
    • Learning and adaptation in cognitive radios using neural networks
    • January
    • N. Baldo and M. Zorzi, "Learning and adaptation in cognitive radios using neural networks," in Proc. of IEEE CCNC, January 2008.
    • (2008) Proc. of IEEE CCNC
    • Baldo, N.1    Zorzi, M.2
  • 4
    • 84890074161 scopus 로고    scopus 로고
    • Frequency allocation for WLANs using graph colouring techniques
    • J. Riihijarvi, M. Petrova, and P. Mahonen, "Frequency allocation for WLANs using graph colouring techniques," in Proc. of WONS, 2005.
    • (2005) Proc. of WONS
    • Riihijarvi, J.1    Petrova, M.2    Mahonen, P.3
  • 5
    • 4143066869 scopus 로고    scopus 로고
    • Frequency assignment for IEEE 802.11 wireless networks
    • October
    • K. Leung and B. Kim, "Frequency assignment for IEEE 802.11 wireless networks," in Proc. of IEEE VTC-fall, October 2003.
    • (2003) Proc. of IEEE VTC-fall
    • Leung, K.1    Kim, B.2
  • 6
    • 0007890396 scopus 로고    scopus 로고
    • Cognitive radio: An integrated agent architecture for software defined radio,
    • Ph.D. dissertation, KTH
    • J. Mitola, "Cognitive radio: an integrated agent architecture for software defined radio," Ph.D. dissertation, KTH, 2000.
    • (2000)
    • Mitola, J.1
  • 7
    • 13844296408 scopus 로고    scopus 로고
    • Cognitive Radio: Brain-Empowered Wireless Communications
    • February
    • S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications," IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, February 2005.
    • (2005) IEEE Journal on Selected Areas in Communications , vol.23 , Issue.2 , pp. 201-220
    • Haykin, S.1
  • 8
    • 40249097785 scopus 로고    scopus 로고
    • Cognitive radio formulation and implementation
    • June
    • T. W. Rondeau et al., "Cognitive radio formulation and implementation," in Proc. of CROWNCOM, June 2006.
    • (2006) Proc. of CROWNCOM
    • Rondeau, T.W.1
  • 9
    • 64749106118 scopus 로고    scopus 로고
    • Cognitive engine implementation for wireless multicarrier transceivers
    • Sept
    • T. R. Newman et al., "Cognitive engine implementation for wireless multicarrier transceivers," Wiley Wireless Communications and Mobile Computing, Sept. 2006.
    • (2006) Wiley Wireless Communications and Mobile Computing
    • Newman, T.R.1
  • 10
    • 42649116477 scopus 로고    scopus 로고
    • Fuzzy Logic for Cross-layer Optimization in Cognitive Radio Networks
    • April
    • N. Baldo and M. Zorzi, "Fuzzy Logic for Cross-layer Optimization in Cognitive Radio Networks," IEEE Communications Magazine, vol. 46, no. 4, pp. 64-71, April 2008.
    • (2008) IEEE Communications Magazine , vol.46 , Issue.4 , pp. 64-71
    • Baldo, N.1    Zorzi, M.2
  • 11
    • 33646934198 scopus 로고    scopus 로고
    • Study on network traffic prediction techniques
    • H. Feng and Y. Shu, "Study on network traffic prediction techniques," in Proc. of ICWCNMC, 2005.
    • (2005) Proc. of ICWCNMC
    • Feng, H.1    Shu, Y.2
  • 12
    • 84870221026 scopus 로고    scopus 로고
    • Building empirical models of mobile ad hoc networks
    • July
    • A. Moursy et al., "Building empirical models of mobile ad hoc networks," in Proc. of SPECTS, July 2007.
    • (2007) Proc. of SPECTS
    • Moursy, A.1
  • 14
    • 62349087137 scopus 로고    scopus 로고
    • Time-based sampling strategies for multi-channel wireless traffic characterization in tactical cognitive networks
    • October
    • B. R. Tamma, B. S. Manoj, and R. R. Rao, "Time-based sampling strategies for multi-channel wireless traffic characterization in tactical cognitive networks," in Proc. of IEEE MILCOM, October 2008.
    • (2008) Proc. of IEEE MILCOM
    • Tamma, B.R.1    Manoj, B.S.2    Rao, R.R.3
  • 15
    • 70449476464 scopus 로고    scopus 로고
    • http://leenissen.dk/fann/.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.